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Dot Ai Appoints Delores Rochester as Chief Revenue Officer to Drive Growth

Veteran Sales Leader Brings More Than 25 Years of Experience Scaling Global Revenue Organizations

Dot Ai (“Dot Ai” or the “Company”), an IoT and AI-based SaaS company at the forefront of Asset Intelligence technology, announced the appointment of Delores “Del” Rochester as Chief Revenue Officer, effective immediately.

The appointment reflects Dot Ai’s focus on accelerating enterprise adoption, expanding customer relationships, and strengthening commercial execution as demand for real-time asset intelligence continues to grow.

As Chief Revenue Officer, Mrs. Rochester will lead Dot Ai’s global revenue organization, with responsibility for customer expansion, go-to-market execution, and driving sustainable growth across enterprise accounts.

Mrs. Rochester brings more than 25 years of experience leading high-performing sales organizations at global technology companies including Oracle and IBM. Over the course of her career, she has sold more than $4 billion in technology solutions to enterprise customers across manufacturing, healthcare, financial services, and other complex industries. She is recognized for building and scaling teams, strengthening strategic customer relationships, and delivering consistent execution at scale.

“Dot Ai’s technology addresses a real and growing need for enterprises operating complex physical environments,” said Delores Rochester, Chief Revenue Officer of Dot Ai. “I’m excited to work closely with customers and the team to build on the company’s momentum, deepen partnerships, and help drive the next phase of growth.”

Read More: The Psychology Of Sales Enablement: How Tools Are Designed To Empower And Motivate Sales Reps?

Mrs. Rochester succeeds Bob Reny, who recently departed the company following his tenure as Chief Revenue Officer.

“Del brings a rare combination of enterprise sales leadership, technical fluency, and execution discipline,” said Ed Nabrotzky, Chief Executive Officer of Dot Ai. “Her experience scaling revenue organizations at global technology leaders will be instrumental as we continue to expand our enterprise footprint. I also want to thank Bob Reny for his contributions to Dot Ai and wish him continued success.”

Dot Ai continues to invest in leadership and operational rigor to support enterprise customers and deliver long-term value to shareholders.

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People.ai Recognized in the 2025 Gartner® Magic Quadrant™ for Revenue Action Orchestration

People ai logo

People.ai, the leading AI data platform for sales teams, has been recognized as a Visionary in the 2025 Gartner® Magic Quadrant™ for Revenue Action Orchestration. The Magic Quadrant evaluates vendors based on their completeness of vision and ability to execute. Gartner defines the revenue action orchestration (RAO) market as “a category of technology vendors that use AI to improve sales productivity. Vendors capture revenue signals into one normalized data model, creating an AI-ready commercial dataset.”

“We are pleased to be recognized in the Gartner Magic Quadrant for Revenue Action Orchestration technologies,” said Jason Ambrose, CEO of People.ai. “We believe this recognition and placement in the Visionary category validates the hard work of our team in creating a product that gives revenue leaders the answers they need, when they need them. We’re helping customers turn historical data into actionable answers they can act on that drives revenue clarity at scale.”

Read More: The Psychology Of Sales Enablement: How Tools Are Designed To Empower And Motivate Sales Reps?

Gartner subscribers can access the 2025 Magic Quadrant for Revenue Action Orchestration here. To know more, get a tour.

Gartner, Magic Quadrant for Revenue Action Orchestration, 15 December 2025. GARTNER and MAGIC QUADRANT are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Model N Announced The Launch Of Data nSights

Revenue Management Software Solutions for High Tech & Life Sciences | Model  N

Purpose-built for life sciences, the solution delivers analytics that streamline decision-making and uncover high-impact opportunities across the revenue lifecycle

Model N, a leader in revenue optimization and compliance for life sciences and high-tech companies, announced the launch of Data nSights, an integrated data and analytics solution. Data nSights provides timely access to curated, artificial intelligence (AI) and analytic-ready data, along with no-code data exploration and a growing library of comprehensive insights for life sciences revenue management.

As the next generation of Model N’s data and analytics capabilities, Data nSights automates data pipelines to reduce manual processing and organizes and provides a comprehensive foundation for actionable insights.

Pharmaceutical and medical technology companies often struggle to extract value from the vast amounts of revenue management data. Data nSights addresses this challenge by streamlining data integration, enabling faster, more strategic decision-making to prevent revenue leakage.

Read More: SalesTechStar Interview with Sahil Rekhi, Chief Revenue Officer at Graia

“Life sciences manufacturers often invest in data infrastructure and consultants, yet still face delayed visibility and fragmented information,” said Bret Connor, Model N Chief Executive Officer. “Data nSights shifts the focus from data preparation to strategic decision-making that drives revenue, profitability, and compliance. Early customer feedback confirms strong demand, echoing our 2025 State of Revenue Report, which found nearly half of revenue leaders are prioritizing data integration and analytics. By harmonizing data across the revenue management lifecycle, this solution lays the groundwork for efficient analytics and scalable AI integrations.”

The Data nSights launch follows an Early Access Program with select customers in hands-on testing and refinement of the platform prior to general availability. Leading life sciences manufacturers participated in the program, providing valuable feedback. This input helped tune the product and its roadmap, paving the way for scaled adoption across the industry and Model N’s leading-edge customer base.

Read More: Beyond CRM: How SalesTech is Shaping the Future of Deal Management?

With Data nSights, Model N responds to customer needs by transforming complex revenue management data into actionable intelligence through three distinct capabilities:

  • Insights Library: Pre-built, interactive analytics dashboards covering key business areas.

  • Self-Service No-Code BI: Capability to create analytics without technical expertise.

  • Dimensional Data Stores: Curated datasets accelerate analytics and connect directly to in-house data and BI platforms.

By equipping life sciences manufacturers with advanced tools and a forward-looking platform, Model N empowers customers to unlock new opportunities and bring life-changing products to the world more efficiently.

Model N is a leader in revenue optimization and compliance for pharmaceutical, medtech and high-tech innovators. For more than 25 years, we have helped customers maximize revenue, streamline operations, and maintain compliance through cloud-based software, value-added services, and data-driven insights. With a focus on innovation and customer success, Model N empowers life sciences and high-tech manufacturers to bring life-changing products to the world more efficiently and profitably. Model N is trusted by over 150 of the world’s leading companies across more than 120 countries.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

EDT&Partners Acquires eFlow to Strengthen AI-Powered Learning Transformation for the Knowledge Economy

Global Education Consulting Firm | EDT&Partners

By combining eFlow’s AI-powered engagement capabilities with its learning expertise, EDT&Partners strengthens capabilities for last-mile learning delivery across education and beyond.

EDT&Partners, a global education and technology consulting firm, has announced the acquisition of eFlow, an AI-powered conversational learning and engagement platform, for an undisclosed amount. The acquisition reflects EDT&Partners’ continued investment in scalable, innovation-enabled learning delivery, engagement, and adoption, strengthening its position across education and the broader learning ecosystem.

EDT&Partners was born in the education sector and continues to work closely with universities, schools, governments, and publishers worldwide. As education evolves, the firm increasingly focuses on the broader knowledge ecosystem, where learning is continuous, contextual, and integrated into everyday life.

“Education remains at the core of who we are,” said Pablo Langa, Founder & Managing Partner of EDT&Partners. “At the same time, we are intentionally expanding into the broader learning ecosystem, particularly in highly regulated industries. Our clients increasingly expect world-class, responsible, and scalable solutions. Strengthening our partner network and AI capabilities is essential to meeting those expectations, and the addition of eFlow’s technology and expertise directly supports that ambition.”

Founded in the Middle East, eFlow offers an AI-powered conversational learning and engagement platform that enables learning delivery and management through intelligent, interactive chatbots, while preserving the human element of distance learning. Through conversational course formats, the platform embeds learning directly into everyday workflows, enabling more ubiquitous and transparent learning experiences.

Read More: SalesTechStar Interview with Sahil Rekhi, Chief Revenue Officer at Graia

Sustaining engagement remains one of the most persistent challenges in learning and training. Whether the learner is a student in a classroom or university, a remote or virtual participant, or an employee completing training or compliance programs, maintaining attention, motivation, and follow-through over time is difficult. Moreover, engagement is even more fragile in technology-mediated settings unless the learning is intentionally designed for interaction, presence, and support. eFlow’s AI-enabled engagement and last-mile delivery capabilities are designed to help address these challenges by supporting learners throughout their journey and reinforcing a more consistent, responsive learning experience.

Within EDT&Partners, eFlow’s capabilities will complement the firm’s strategic and technology-focused work, intersecting with Lecture, EDT&Partners’ open-source GenAI framework, to help ensure learning initiatives are not only well-designed but also adopted, completed, and sustained.

“EDT&Partners gives eFlow the strategic and operational backbone needed to scale responsibly,” said Bassel Jalaleddine, Co-Founder of eFlow. “We built eFlow as an AI-powered, human-centred learning platform to improve engagement without diminishing the role of educators and institutions. By joining EDT&Partners, a firm with deep expertise across education strategy, technology, and large-scale delivery, we can bring intelligent, learner-centred learning experiences across a wide range of learning contexts, with the quality and adoption required for real impact.”

The acquisition brings a strong and experienced team that will reinforce EDT&Partners’ presence in the Middle East and support its work across the broader learning ecosystem. Founded in the region, eFlow adds deep contextual understanding and on-the-ground experience that closely align with EDT&Partners’ growing regional footprint, strengthening its ability to deliver learning initiatives across multiple segments and geographies, including workforce upskilling, institutional transformation, and community-led learning initiatives.

Read More: Beyond CRM: How SalesTech is Shaping the Future of Deal Management?

Beyond regional and operational strengths, the acquisition also reinforces a shared commitment to impact. Together, EDT&Partners and eFlow are expanding access to learning by enabling affordable, low-bandwidth, messaging-based experiences that support skills development and education delivery in underserved and resource-constrained contexts.

As part of this acquisition, eFlow’s co-founders, Bassel Jalaleddine and Samer Bawab, will join the EDT&Partners team as senior leaders. They bring product vision, regional expertise, and a deep understanding of learning engagement, supporting shared growth and long-term collaboration as the organizations come together.

Following the acquisition, EDT&Partners and eFlow will work closely to align services, platforms, and teams while continuing to support existing clients and partners as independent brands. The combined teams will engage with education leaders and partners at key industry moments in the year ahead, including Bett 2026 in London.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Forbes Technology Council Appoints Dileep Kumar Rai to Lead Supply Chain Group

Forbes Business Council | Organization for Business Owners

Rai will lead an invitation-only group of senior executives focused on AI, cloud ERP, and building resilient, intelligent supply chains.

Dileep Kumar Rai, Manager, Oracle Cloud Technology at Hachette Book Group (HBG), has been selected by Forbes Technology Council to lead its newly formed Supply Chain Group. Forbes Technology Council Groups are invitation-only, expert-led virtual communities that bring together senior technology executives to exchange insights and best practices.

Read More: SalesTechStar Interview with Sahil Rekhi, Chief Revenue Officer at Graia

The Supply Chain Group focuses on how modern enterprises are transforming supply chains through cloud ERP platforms, AI-driven demand forecasting, real-time data visibility, and resilient operating models. The Group is available exclusively to members of Forbes Technology Council, an invitation-only community composed of CIOs, CTOs, and senior technology leaders across industries.

Supply chains now sit at the intersection of technology, operations, and trust. This group will focus on sharing proven, real-world practices for building resilient and intelligent supply chains.”

— Dileep Kumar Rai, Manager, Oracle Cloud Technology, HBG

“It’s an honor to welcome Dileep Kumar Rai as the new head of the Supply Chain Group,” said John-Mark Davidson, Director of Member Connections for Forbes Councils. “Dileep brings deep, hands-on experience in enterprise technology and a thoughtful, practitioner-focused perspective on how supply chains are evolving into strategic, intelligent systems.”

Read More: Beyond CRM: How SalesTech is Shaping the Future of Deal Management?

“I’m honored to lead the Supply Chain Group and to collaborate with such a distinguished group of technology leaders,” said Rai. “Today’s supply chains sit at the intersection of technology, operations, and trust. My goal is to create a practitioner-driven space where members move beyond theory to share what’s actually working to build resilient, intelligent, and future-ready supply chains.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

The Cognitive Gap In Enterprise Sales: How Next-Gen Salestech Is Closing It In Real Time?

For more than 10 years, the only thing that enterprise sales teams have done when performance hasn’t been consistent is make more content. More sales academies, more LMS modules, more product sheets, more battlecards, more playbooks, and more talk tracks. Billions of dollars have been spent on establishing huge enablement libraries that are supposed to provide sellers with everything they need to be successful. But the results of deals haven’t gotten better at the same rate. Win rates have either stayed the same or gone down in most businesses, even though people have never had more access to information.

The uncomfortable truth is that enterprise sales doesn’t have a content issue; rather, it has a cognition problem. Reps don’t lack information; they have too much of it. There is knowledge, but it is stored in folders, portals, and libraries that you can’t get to when you need to be exact in a high-stakes conversation. When a customer queries the price, mentions a competition, questions the architecture, or reveals an unforeseen need, the seller’s success depends on how quickly they can remember and use the relevant information, not on how many documents they have read in the past.

This is where the story about the industry has gone astray. Leaders have thought that vendors will sell more if they know more. But knowing and doing are two different things. Cognitive research demonstrates that when people are under stress, their memory recall diminishes, switching contexts slows down their decision-making, and they tend to fall back on old but frequently unproductive behaviors. That’s exactly what we see in enterprise sales today: a lot of expertise but not always the same way of doing things in real life. Not because the sellers aren’t trained, but because the human brain isn’t made to handle 200 hours of learning and 40 documents while talking to a CIO in real time.

In the past, enablement was made for storage, not speed. Learning is stored in content hubs, strategy is stored in playbooks, and training is stored in LMS. But consumers don’t check a seller’s knowledge in a classroom. They try it out in the room, on the phone, and right now. Deals are won or lost in the space between what sellers know and what they can get right away during a conversation. In corporate sales, being able to answer questions quickly and with confidence is more important than how many resources are in a content catalog.

This changes how we think about sales productivity in a big way. People have thought that more training means greater money. In fact, cognitive overload typically has the opposite effect: it makes people take longer to make decisions, makes them more hesitant, and makes vendors want to avoid complicated situations. When faced with questions they weren’t expecting, a lot of people go back to generic pitches or discounts since it feels safer than giving the wrong answer. Not because they aren’t smart, but because the process of remembering things breaks down when they’re under stress.

In today’s business sales, people now realize that how fast and reliably a seller can activate the correct knowledge at the right time is more important than how much content a company makes. Today’s buyers won’t put up with imprecise replies, delays, or “let me follow up later.” Every delay makes things seem riskier and slows down progress. In markets where things appear alike, and there is a lot of rivalry, the seller who is clear and quick gets confidence, and trust leads to commitment.

To be successful in the future, enterprise sales teams need to stop thinking of enablement as just giving knowledge and start thinking of it as speeding up learning. The goal is not just to teach sellers, but to make them able to do things right away. Greater hours of learning or greater material output won’t lead to breakthroughs in performance. Instead, giving buyers access to the right answer in real time when they need it will. In a world where milliseconds matter for conversion, cognitive speed—not content storage—determines how effective sales are.

What is the Cognitive Gap in B2B Sales?

The cognitive gap has quietly become the biggest problem that stops people from doing well in corporate sales. It doesn’t matter how much stuff a rep can get to. It has everything to do with how quickly they can get it and use it when they are in the middle of a live buyer conversation.

What the Cognitive Gap Really Is?

The cognitive gap is the time it takes for a buyer to ask a question and for a rep to give the right answer. In that brief time—usually less than three seconds—the customer starts to make decisions about competency, credibility, and risk.

This delay affects:

  • Handling objections
  • Positioning in the market
  • Why the price is what it is
  • Product fit vs requirement clarity

When a rep hesitates, makes a guess, or says they’ll “get back later,” trust is gone. And in business-to-business sales, losing confidence means losing transaction momentum.

How the Gap Shapes Buyer Psychology?

Customers don’t just look at items; they also look at people. If a vendor takes too long to answer a question about price or stumbles when asked about a competition, it shows that they are not sure. Uncertainty turns into perceived risk right away.

Risk causes:

  • Slower decision cycles
  • Additional internal approvals
  • Competitive benchmarking
  • Or no decision at all

The agreement isn’t off because the product isn’t good. The deal is off since the talk felt unsure.

Why Knowledge Does Not Equal Live Performance?

A lot of revenue leaders think the gap is a problem with training. But the top reps don’t usually win because they went to more workshops or read more. They win because they are better at thinking on their feet in real-life conversations.

Top sellers are successful because they can:

  • Remember what makes you stand out from the competition right away
  • Defend your prices without appearing defensive
  • Connect product characteristics to results without notes
  • Adjust your messages according to who you are and what you want.

What seems like “instinct” in business sales is really better decision-making under pressure in real time.

In the meantime, the rest of the team goes through the same unpleasant cycle.

After the meeting, they know the right answer.

After the call, they devise the best way to respond to the objection.

They recall competition information even after the buyer stops talking.

Knowledge gained after a call is not very useful for business. It’s too late to change the deal now.

The Hidden Cost: Lost Pipeline Velocity

Dashboards don’t reveal the cognitive difference. There won’t be a report that says:

“Deals are lost because of hesitation.”

But this disparity slowly reduces:

  • Rates of winning
  • Trust in prices
  • Speed of deals
  • Rep consistency

In corporate sales, reluctance isn’t just a little problem; it’s the most expensive problem in the whole revenue engine.

The Strategic Imperative: Cognition in Real Time

To close the cognitive gap, we don’t need more content, more credentials, or bigger knowledge portals. It’s about getting rid of the time between:

Teams that close that gap become trusted advisors more quickly. They have more control over deal stories earlier. They keep value instead of lowering it. They keep getting stronger instead of weaker.

As the market for buying gets more complicated and competitive, the companies that will succeed will be the ones that turn their salespeople into quick-thinking, high-bandwidth decision-makers who have access to real-time information instead of just static binders of information.

In the future era of enterprise sales, the companies that can think the fastest in front of the buyer will have the edge over their competitors.

Why Traditional Enablement Fails in Live Conversations?

Companies have spent millions on LMS systems, playbooks, content hubs, academies, and sales certifications, but there are still performance discrepancies. The gap comes from a basic fact: knowledge doesn’t come from selling moments; it comes from static structures. In enterprise sales, the outcome is determined during actual conversations, not within training portals.

a) Static Knowledge Cannot Keep Pace With Dynamic Conversations

Traditional enablement is based on the idea that sellers will naturally do better if they know enough. But knowing isn’t the same as getting it back when you need it.

Most training is kept in PDFs, Notion pages, instructional videos, or product papers, none of which are available during a sales call.

So, when the buyer says:

  • “How do you compare to Competitor X?”
  • “Why does this pricing model cost more?”
  • “Will this work with our old system?”

Reps don’t need a library; they need a solution right away. The problem is brutally clear: static information can’t keep up with the cognitive demands of modern business sales in real time.

b) Training Systems ≠ Performance Systems

Learning management systems (LMS) and content hubs are not meant for live execution.

They are great at sharing information, but not good at helping people make decisions in real time.

The outcome is a systemic disconnection:

  • Reps learn things on their own.
  • That information can’t be used right away in front of customers.
  • The team’s performance is still not constant.

Enterprise leaders check off boxes for things like “content delivered,” “certification completed,” and “course consumed,” but the revenue KPIs stay the same. This is the false sense of progress that stops real performance change in enterprise sales.

c) The Harsh Reality of Post-Training Decay

Even the best training doesn’t last long. After 90 days, studies reveal that just 15–20% of what you learned stays with you. In other words, most of the material that enablement teams put so much effort into making is forgotten long before the next deal cycle is ready.

The real loss isn’t the information that was lost; it’s the chances that were lost:

  • Things that could have been changed
  • Deals that could have kept prices fair
  • Stakeholders who could have been more successfully swayed

The sellers aren’t doing poorly because they’re not smart; they’re doing poorly because the human brain isn’t made to remember hundreds of talking points, competitor summaries, and pricing arguments for every instant of business sales.

d) Content Retrieval Disrupts Live Selling Flow

Even if reps know where to get the right document, they can’t stop a call to look for it.

When users move pages, dig through directories, or read through a knowledge portal, the discourse gets worse.

This friction starts a pattern that is easy to see:

  • It takes too long to get back
  • Silence gets unpleasant
  • The seller starts to improvise.

It might work to improvise in minor deals. But in corporate sales, making things up hurts your credibility, makes you provide discounts, and slows down progress.

e) The Pressure Response: Guessing, Playing Safe, or Discounting

When sellers don’t have the answers right now, they rely on their gut instead of their brain:

  • They depend on generic messages.
  • Instead of defending value, they make the solution easier.
  • They lower the perceived risk by giving discounts.

This behavior doesn’t show a lack of talent; it shows that the brain is too full.

The spokesperson doesn’t say, “I don’t know the answer.”

The rep is thinking, “I can’t get the answer fast enough, so I need to make sure the conversation is safe.”

And safety typically means putting off, cutting back, or discounting.

The Core Failure of Traditional Enablement

Traditional enablement thinks that performance is the same as information.

The fact is now clear to modern revenue teams: performance means real-time cognition.

No matter how well-stocked a content hub is…

No matter how many movies or playbooks are added…

No matter how many qualifications are earned…

The deal outcome doesn’t change if a rep can’t use the proper information in real time.

To get consistency at scale in enterprise sales, we need a new way of thinking: systems that respond during the discussion, not after it.

Next-Gen Salestech as a Thinking Partner

It’s not about giving salespeople more papers in this new era of selling; it’s about giving them more knowledge. Next-gen salestech is changing how businesses sell by becoming a live intelligence partner during the call instead of a training library that you look at after. Instead of making sellers memorize every pricing guideline, competitive edge, compliance detail, and product feature, technology now fills in the gaps in their minds in real time.

From “Here Is Content for Later” to “Here Is the Right Answer Right Now”

The old way of enabling worked on a delayed cycle: train, hope for retention, measure adoption, and do it all over again. This model doesn’t work anymore in fast-paced business sales. The stakes are too high, the cycles are too complicated, and purchasers want accuracy right away.

Next-gen platforms revolutionize the way sales work. Instead of pushing static resources with the idea that they would be used later, they give the buyer the exact answer they need at the moment of live selling. This may be the talk track, proof point, configuration rule, case study, pricing rationale, or objection response that suits the buyer’s situation at that moment.

This gets rid of hesitation, makes it easier for reps to think, and speeds up persuasion, which is increasingly becoming one of the most important KPIs in corporate sales cycles.

Real-Time Intelligence That Activates During Meetings

The main new idea is not to store more information, but to make it available when you need it. Next-generation cognitive platforms:

  • Listen to what buyers are asking and figure out how they are saying it.
  • Find out what someone wants by looking for signs like urgency, budget uncertainty, or doubt about the technology.
  • Find competitive triggers and show targeted differences
  • Based on needs, suggest product configurations or price reasoning
  • Guide for handling objections that is specific to both the persona and the use case

The device works like a quiet co-pilot, helping the salesperson in milliseconds and keeping the discussion going instead of needing manual searches or follow-ups after the call. This stops the old tendency in business sales where salespeople say, “Let me get back to you” and lose momentum.

A Cognitive Boost, Not a Knowledge Shortcut

Cognitive salestech doesn’t want to replace the rep’s knowledge; it wants to make it sharper when they’re under pressure. When cognitive load goes up, even the best seller has a hard time, especially when selling technical products or to multiple stakeholders. Real-time intelligence takes away the need for faultless memory, letting sellers focus on:

  • Emotional intelligence
  • Strategic listening
  • Relationship building
  • Driving urgency and consensus

In enterprise sales, where a buyer’s trust in the seller’s clarity and conviction is typically the deciding factor, cognitive augmentation can set a company apart from its competitors. It doesn’t make sellers like robots; it makes them brighter, faster, and easier to relate to since they can stay mentally present without having to remember a lot of complicated things.

Trust for Buyers, Confidence for Reps

Cognitive enablement doesn’t just make things more accurate; it also makes both people in the interaction feel safe.

Reps feel safer because they know that help is always available, whether they are working with new goods, new verticals, or very technical buyers.

Buyers trust you because your answers are rapid, accurate, and relevant to the situation, not ambiguous or general.

Trust is money in business sales. Deals don’t fall through because the products aren’t worth anything; they fall through because people think there is a danger. Without any delays, doubts, or mixed messages, that perceived risk goes down a lot.

The Cognitive Companion is now the new standard.

Cognitive help is becoming a must-have as buyer expectations rise and deals get more complicated. The best enterprise sales teams don’t have the most material; they have the fastest brains. The change is clear:

  • Enablement → smartness
  • Storing knowledge → activating knowledge
  • Training events → help with performance during calls

Reps that can think and act as quickly as buyers want will be the ones who sell in the future. Sellers don’t have to talk to people by themselves anymore since next-gen salestech acts as a cognitive partner. They come in with real-time information and confidence that turns every conversation into progress.

Real-Time Intelligence vs Post-Call Intelligence

For a long time, sales technology has been focused on making things clearer after discussions have already happened. Deal scoring, post-call analysis, and coaching gave useful information, but they didn’t influence what happened while the reps were still with the buyer.

The gap between insights gained after a conversation and actions taken in real time has grown too big to ignore in high-velocity enterprise sales, where every meeting can change the course of a contract. Today, the most competitive revenue teams are switching from “learn later” systems to “act now” systems. These are tools that let people make decisions as the deal goes on, not after it goes wrong.

a) Traditional / Post-Call Tools

After the meeting, traditional sales enablement technologies handle most of the work. These programs summarize calls, look at how people talk to each other, and suggest what to do next once the buyer has logged out. They also give coaching days or weeks later, which means that reps have to use what they learned and rely on their own memory and interpretation. Tools that just do post-call reporting work like a retrospective scorecard: they help you think about things, but they can’t change what happens right now.

This method worked when business sales cycles were long, predictable, and straight. After each meeting, the reps had time to regroup, go over what they had learned from coaching, and improve their story before the next call. That luxury is no longer available in today’s market. Customers want answers right now, rivals swarm accounts faster, and deal cycles get shorter every quarter. Post-call intelligence is still important, but it’s not enough to give you an edge anymore.

b) Next-Gen / Real-Time Tools

The model is turned upside down by real-time sales intelligence. Next-gen salestech steps in during the discussion instead of waiting to tell the person after they have already answered objections or missed an important buying signal. When tools find customer intent, pricing curiosity, competition landmines, danger signals, or requests for proof, they show the right playbooks and proof points right away. This takes the guesswork out of it and helps vendors base their messages on relevancy, accuracy, and confidence.

The change is huge: salespeople no longer have to remember every product configuration, competition angle, security compliance detail, or ROI calculation. Their thinking gets better during the conference. They talk to customers clearly instead of hesitantly, and decision-makers feel like they are being understood instead of “pitched to.” In the world of business sales, that immediate connection develops trust, sets apart expertise, and speeds up agreement.

The Thousand-Second Advantage: Influencing Outcomes in the Moment

The main way to improve performance is not by looking at meetings, but by changing what happens during them. Two weeks later, a rep who gets tactical coaching could know what they should have done, but they won’t be able to change the buyer’s opinion anymore. Real-time intelligence keeps those thousand-second windows safe, where deals are won or lost.

Instead of telling people what to do in the future, modern platforms change what people do right now. Instead of going over the meeting again afterward, they make the conversation better while the buyer is still choosing what to do next. Instead of teaching in the classroom outside of the transaction cycle, they become a cognitive partner inside the deal cycle. Teams working on complicated enterprise sales procedures have already shown huge improvements in win rates, sales speed, and average contract value. This is because execution accuracy goes up while there is pressure, not after the fact.

The New Standard for Performance

The fact that buyers have higher expectations, competition is fierce, and attention spans are getting shorter has changed the way businesses work: every conversation is a chance to make money. Teams that do better are the ones that make the most of those moments, not just look back at them. More reports, dashboards, or training libraries are not the next step in enterprise sales enablement. It gives salespeople the ability to be their best selves in every connection by providing a layer of living intelligence that doesn’t cause any problems.

As this model gets better, the difference between firms that use real-time guidance and those that only look at calls after they happen will grow by a huge amount. In the future, business sales will not be determined by who knows the most, but by who can find and use the correct information at the right time.

The Evolution of Reps into High-Bandwidth Decision Makers

For years, revenue organizations have invested money in solutions that offer sellers access to content, product manuals, message frameworks, and battlecards. But it didn’t matter how many materials the rep had if they couldn’t remember or use them when they were under pressure and in front of a real buyer.

The most forward-thinking leaders in enterprise sales today are adopting a new way of thinking: the goal isn’t to give sellers more information, but to help them make better decisions when they talk to real customers. The change from storing information to cognitive enhancement has begun, and it is changing how sellers think, talk, and persuade.

a) From Content Consumers → Decision Makers

Traditional enablement approaches expected sellers to remember huge libraries of knowledge and somehow find the right information during a meeting. Reps were always learning, forgetting, and learning again. With real-time information, sellers no longer just sit around and read training materials.

They instead quickly figure out what the buyer wants. When technology brings to light what is most important at that time, whether it be a security proof point, a value narrative, a competitive differentiation, or a pricing explanation, the representative does not search for answers; they assess, choose, and deliver. This means they are in charge of making decisions, not gathering information. It greatly boosts confidence and lowers call anxiety, which is very important in business sales when the stakes and visibility are high.

b) From Pitchers → Solution Consultants

People used to rely a lot on rehearsed pitches for high-speed selling. But people who buy things today don’t want generic prescriptions; they want solutions that are made just for them. Real-time salestech lets sellers reply to demands, objections, and priorities as they come up, rather than pushing a set order of messages.

The tone of the conversation changes from “we have something to sell” to “we know what you’re trying to do.” A rep who can change direction quickly is a real solution consultant. In enterprise sales, where buying committees look at business results instead than product checklists, this consultative presence makes people trust each other and work together much better.

c) From Information Recall → Cognitive Precision

Memory is not a way to do well. It is impossible for even the best reps to remember hundreds of proof points, client tales, legal replies, and ROI data at the exact moment they are needed. Real-time guidance takes away the need to remember things by giving the exact asset, talk track, or comparator that the buyer’s language and intent call for.

Sellers are now able to think clearly and say the appropriate thing instead of saying everything. In enterprise sales, where interactions often involve technical inspection, skepticism, and multi-stakeholder evaluation, this calm decisiveness has become a competitive advantage.

d) AI Elevates Human Strengths — Not Replace Them

When technology takes care of memory and complexity, sellers can fully use their distinctive human skills, such as emotional intelligence, strategic judgment, and negotiation skills. AI looks for signals, while the rep reads the room. AI brings up facts, and the rep turns those facts into trust. AI gives you the tools; the rep convinces you.

This relationship makes the conversation more real and smooth, which is what purchasers like. In business sales, where relationships and trust in change management are key to closing agreements, the combination of AI-supported precision and human connection is almost unmatched.

The Human–Tech Ratio of Peak Performance

The magic of current salestech isn’t that it makes selling easier; it’s that it makes the work smarter. The system takes care of recall, compliance, configuration logic, and objection intelligence. The rep is in charge of trust, rapport, and influence. This takes the cognitive strain off of salespeople, giving them more mental space to listen carefully, ask better questions, and deal with power dynamics.

They don’t get bogged down in details; instead, they become strategic operators who guide discussions toward results. Teams that use this methodology see a measurable increase in win rates, transaction speed, and expansion revenue. This shows that enterprise sales excellence is now defined by buyer-aligned precision, not memory Olympics.

The New Standard for Selling with High Bandwidth

There is a new generation of sellers who think, decide, and persuade faster since they don’t have to worry about managing all the information. These high-bandwidth operators don’t just “use tools”; they work with them to improve their cognitive edge.

As real-time intelligence becomes more common, the difference between teams that work with precision and those that still need coaching after the fact will grow much bigger. The people who will triumph in enterprise sales in the future are the ones who know that technology doesn’t replace people; it brings out the best in people.

a) Cognitive Sales Orchestration: What to Expect in the Future

The new era of marketing doesn’t depend on bigger content libraries or longer playbooks. It is based on dynamic intelligence, which means that systems learn from every meeting, query from a buyer, complaint, and win-loss pattern, and then reply right away. The change is huge: negotiations will no longer be guided just by recollection, experience, or gut feeling.

Instead, a constantly coordinated layer of intelligence will guide both the rep and the buyer toward clarity and conviction. This change is already changing what is expected of salespeople in the business world, where cycles are long, stress is high, and buying committees want perfect information right away.

b) From Static Training to Dynamic Co-Shaping of Deals

Traditional enablement thought that once a salesperson was trained, they would use the information on their own indefinitely. The truth is that things are a lot messier. Markets change, the way people talk about things changes, competitors change their strategies, and products get more complicated. Smart systems keep solving this. Instead of asking salespeople to guess and remember every possible scenario, technology now shapes agreements in the middle.

For example, it shows the proper price justification when negotiations get heated, the right case study when risk rises, or the right product configuration when additional stakeholders join. This co-shaping gets rid of friction and develops momentum, which makes enterprise sales more predictable and less reliant on luck or individual genius.

c) Real-Time Decision Design

The next generation of salestech will build decision paths in meetings like navigation systems do for cars, changing based on what comes next. These computers will be able to tell the difference between different types of people and their objections, pick up on changes in tone, look at mentions of competitors, and suggest the best action in the next five seconds.

Sellers won’t have to “learn what should have happened” after a contact finishes; they’ll know exactly “what needs to happen right now.” This makes the execution layer of enterprise sales much better, since a single mistake or indecision may ruin months of funnel work.

d) Offloading Cognitive Burden to Systems

For years, sellers have been taught to remember everything, including discussion tracks, security details, ROI formulas, legal responses, technological fit, and competitive insights. The business now knows that this extra work makes salespeople less productive and more anxious in high-stakes talks.

Sellers may focus on emotional intelligence, influence, and listening when they hand off memory, detail management, and analysis to smart systems. This rebalancing is especially important in enterprise sales, where cognitive overload can make even experienced salespeople employ discounts, generic messages, or delays in follow-up.

e) Precision Will Outperform Persuasion

The market is moving away from selling based on personality. People who make big purchases expect accuracy: the correct response, the appropriate data point, the right use case, and the right time. When systems constantly link talks to risks, goals, and intended results, persuasion becomes a natural effect of being right.

This new reality gives businesses a structural edge: performance can be scaled, repeated, and is not affected by the length of time an employee has been with the company. This is a huge step forward for enterprise sales, where inconsistency has historically made forecasts less reliable.

f) The Real-Time Revenue Engine

Once real-time orchestration is fully in place, businesses will have a real revenue engine: intelligence listens, interprets, and guides while the salesperson gains trust and makes changes. Every meeting becomes useful, every disagreement becomes a reason to act, and every new stakeholder becomes a chance instead of a problem.

When data and cognition work together in real time, the chances of winning go up a lot. In the world of corporate sales, this will be the new standard for competition. Pipeline risk will go down, not because salespeople know more, but because they think faster.

Final Thoughts

The most important thing to remember about sales is that knowledge doesn’t equal performance; cognition does. Companies are learning that giving salespeople thousands of documents and hours of training isn’t as helpful if they can’t use the knowledge right away while they’re selling.

The companies that know the difference and put their money where their mouth is will win tomorrow. Technology is changing from being used for storage to speeding things up, from analyzing data to organizing it, and from giving you an advantage after a conversation to giving you an advantage during a call.

In the next ten years, a team’s competitive edge will not come from how much they know, but from how quickly they can react. The reps that succeed won’t be the ones with the best memories or the longest time in the business. Instead, they will be the ones who can change conversations as they unfold with accuracy and confidence. This is especially important in business sales, where closing a deal sometimes depends on being able to address a single issue with credibility right away instead of after the meeting.

As cognitive orchestration becomes more common, businesses will cease employing people based on their knowledge of the product and start hiring people based on their capacity to adapt, their emotional intelligence, and their ability to use real-time information. The system will permanently take over the job of knowing everything, freeing people up to do what they are best at: building relationships, earning trust, and guiding customers through change.

The change isn’t just a theory; it’s going to happen. The teams that use it first will set the standard for a whole new way of selling. Unsure people will keep having problems with uneven performance, wrong forecasts, and low win rates—not because their people aren’t talented, but because their minds are too full.

Companies that get rid of that overload will be the ones that do well in enterprise sales in the future. Those who enable cognition, not just content, will be the ones who win in the future of corporate sales. And in the end, the best business salespeople will be the ones who can provide you with real-time confidence when it matters most.

In the next ten years, the companies that will succeed won’t be the ones with the most content. They’ll be the ones who can think the fastest when it matters most.

Read More: The Psychology Of Sales Enablement: How Tools Are Designed To Empower And Motivate Sales Reps?

Rohrer Appoints Danny Teixeira President and CEO

Rohrer Corporation, a leading consumer packaging designer and manufacturer, has appointed Danny Teixeira as its next President and CEO. Teixeira joined Rohrer in May of 2023 as VP/GM of the Thermoforming Solutions Group, where he played an integral role in the deployment of Rohrer’s operating model and strategic plan. He has subsequently taken on a broader leadership role, serving as President of Rohrer’s Print Division, prior to being named Chief Executive Officer.

“Our goal is to put customers in the forefront of everything we do, as we strive to be the packaging partner of choice.”

As part of an organized transition and succession plan, Danny succeeds Tim Swanson. Tim has worked closely over the last several weeks with Danny and the rest of the Rohrer management team to ensure the business continues on a successful path.

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“We’re thrilled to announce Danny as our CEO. In his time at Rohrer, Danny has had a marked impact on Rohrer’s employees and customers alike. We look forward to his continued growth and leadership. We thank Tim for his stewardship during his time as CEO and his support during this transition,” said Matt Harrison, Managing Partner at Revelar Capital.

Danny Teixeira stated, “I am excited to lead Rohrer through this next phase of growth, and look forward to continuing to partner closely with Revelar Capital. Rohrer has formulated a solution-centric recipe, aimed at serving our customers at the highest possible levels. With a great team of people and a focused operating model in place, our goal is to put our customers in the forefront of everything we do, as we strive to be the packaging partner of choice.”

Read More: Beyond CRM: How SalesTech is Shaping the Future of Deal Management?

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Veltris Partners with Vectra AI to Provide Proactive, AI-Driven Threat Detection and Response

Veltris

Veltris announced a strategic partnership with Vectra AI to deliver AI-driven threat detection and response across network, identity, and cloud environments.

Veltris, an AI-first digital product engineering partner, announced a strategic partnership with Vectra AI, the cybersecurity AI company that protects modern networks from modern attacks. The collaboration enhances Veltris’s Managed Security Services with Vectra AI’s attack-signal intelligence, enabling enterprises to detect, investigate, and respond to hybrid threats across network, identity, and cloud ecosystems.

By combining Veltris’s Vertical AI and digital engineering expertise with Vectra AI’s patented AI detection capabilities, clients gain a unified defense strategy that enables them to anticipate, prioritize, and neutralize threats across business environments. This partnership enables embedding security and cyber resilience into core micro-industry workflows and secure modernization to accelerate AI readiness as customers scale in an increasingly complex cyber landscape.

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With the Vectra AI Platform embedded into Veltris’s security operations, organizations benefit from end-to-end protection for their most critical environments:

  • Network & Infrastructure: Advanced detection for cloud, data center, and enterprise networks (NDR).
  • User Identity: Real-time threat detection for Microsoft Entra ID (IDR).
  • Cloud Applications: Comprehensive security for SaaS platforms like Microsoft 365 (CDR).

“By partnering with Vectra AI, we are strengthening our promise to empower clients to build, modernize and run secure, digital AI-powered platforms. Together, we bring the AI-driven visibility and cyber threat response that enterprises need to stay resilient as they scale,” said Hiral Chandrana, CEO & Board Member, Veltris

Read More: Beyond CRM: How SalesTech is Shaping the Future of Deal Management?

Vectra AI CEO & Founder, Hitesh Sheth said, “Today’s attackers are faster, stealthier, and more persistent than ever — and traditional defenses simply can’t keep up. True resilience now means being ready for the inevitable — when an attacker slips past preventive measures. By combining Veltris’s managed industry-specific expertise with Vectra AI’s AI-driven detection and response, we’re empowering security teams to identify and stop active threats before they become breaches.”

Together, Veltris and Vectra AI help enterprises strengthen their security posture as they modernize platforms and scale AI adoption.

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Envera Systems to Accelerate Innovation in Community Safety and Access Control Solutions with Appointment of Devon Watson as CEO

Envera Systems - Community Security Solutions

Envera Systems, a leader in community security solutions, has appointed experienced technology executive Devon Watson as its new President and CEO. Watson will prioritize customer experience and innovation as he leads the company in delivering its suite of integrated security solutions, which include Virtual Gate Guard, Active Video Surveillance, and Smart Access Control.

Envera Systems, the leader in gate automation and security solutions for community associations, announced the appointment of Devon Watson as its new President and Chief Executive Officer (CEO). Watson, an experienced technology executive, will focus on customer experience and innovation while strengthening the company’s commitment to unparalleled reliability and security in community protection.

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Watson brings a proven track record of driving customer experience, operational excellence and technology advancement. His prior experience includes executive leadership roles in similar always-on, high security technologies including bank ATMs, retail payment systems, cloud computing and self-storage access control.

“Envera Systems has a proven track record providing smart, cost-effective security solutions that offer peace of mind and 24/7 coverage to residents, developers and property managers,” said Devon Watson, CEO of Envera Systems. “As the market leader, we will continuously strengthen our products and operations to provide innovative technology and an elevated experience our clients can count on.”

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In his new role, Watson will lead Envera Systems in delivering its suite of integrated security solutions, including Virtual Gate Guard, Active Video Surveillance, and Smart Access Control, all monitored 24/7 using technology to enhance Envera’s high-performing team of trained professionals. A core part of his mandate will be to emphasize the essential qualities of reliability and security that are paramount to Envera’s clients, which include HOAs, condominiums, property managers, and residential real estate developers.

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Intellibright Partners with Peekaboo to Redefine Modern Search Marketing

Intellibright | CallTrackingMetrics

As hundreds of millions of consumers turn to LLMs for recommendations, a critical question emerges: which brands get mentioned, and which get left behind?

Intellibright, a performance-driven digital marketing agency based in Austin, Texas, has partnered with Peekaboo, a leading AI-search platform that measures brand visibility across large language models (LLMs), specifically ChatGPT, Gemini, and Perplexity. This collaboration equips businesses with clear insight into how LLMs surface brands and how that visibility shapes customer discovery.

The stakes are significant. A brand may rank consistently in ChatGPT while remaining invisible in Perplexity. Others appear only for niche queries while competitors capture broader visibility. Some brands are not surfaced at all. This partnership addresses a growing gap in marketing intelligence as AI-powered search reshapes how customers discover and evaluate companies.

By partnering with a data-focused agency like Intellibright, we look forward to helping companies confidently scale their marketing efforts and services.”

— Filipe Lins Duarte, CEO at Peekaboo

“LLMs are shaping how customers connect with companies in a dynamic market, and Peekaboo is dedicated to equipping agencies and brands with the market intelligence they need to level up their content and outperform competitors,” said Filipe Lins Duarte, Chief Executive Officer at Peekaboo. “By partnering with a data-focused agency like Intellibright, we look forward to helping companies confidently scale their marketing efforts and services.”

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The partnership combines Peekaboo’s brand visibility tracking across ChatGPT, Gemini, and Perplexity with Intellibright’s performance marketing expertise. Peekaboo reveals which queries trigger brand mentions, how often brands appear, and which competitors are positioned alongside them. Intellibright brings the strategic perspective needed to understand what that information means for performance and how to act on it.

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“AI gives you the signals. It’s the human element — interpreting those signals, understanding what they mean for the business, and turning them into action — that creates impact,” Michelle Matranga, Chief Digital Officer at Intellibright, said. “When we combine AI insights with real strategic judgment, our clients move faster, make better decisions, and stay ahead as AI becomes a larger part of how people discover and compare brands.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.