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Introducing Convoso Ignite™️: Unlocking Higher Contact Rates Through Automated and Intelligent DID Management

The new solution automates DID lifecycle management to improve contact rates, reduce wasted dials, boost caller reputation and supercharge outbound performance.

Convoso, the leading contact center software provider for revenue teams, announced the launch of Convoso Ignite™️, a next-generation DID lifecycle automation solution designed to optimize phone number (DID) usage, protect DID health, and enhance dialing so each campaign uses the highest performing numbers.

Ignite helps outbound sales teams unlock more revenue by transforming phone number management from a manual, error-prone task into a dynamic, performance-optimized advantage. As outbound contact strategies become more complex, Ignite delivers real-time intelligence and automation where it matters most: ensuring every dial supports higher contact rates, increased efficiency, and strengthening both the top and bottom lines.

Outbound teams are under enormous pressure to deliver results. With Convoso Ignite, we’re helping customers improve contact rates while aligning with responsible dialing practices.”

— Nima Hakimi, Convoso CEO and Co-Founder

“Outbound teams are under enormous pressure to deliver results while keeping pace with fast-changing carrier rules and compliance demands,” said Nima Hakimi, CEO and Co-Founder of Convoso. “With Convoso Ignite, we’re helping customers improve contact rates while aligning with responsible dialing practices. Our goal is to ensure that calls to consent-based leads connect more consistently, while supporting compliance and long-term performance.”

Read More: SalesTechStar Interview with Ann-Christel Graham, Chief Revenue Officer at Sovos

Caller ID reputation is no longer a binary distinction between ‘clean’ and ‘flagged’. With constantly evolving carrier algorithms, DID health now exists on a spectrum, and small shifts in DID performance can tank campaign outcomes.

However, most contact centers still rely on static tools, fragmented processes, or spreadsheets to manage this complexity. Ignite was built to change that by bringing dynamic, real-time scoring and automation to the heart of outbound operations.

Ignite continuously monitors and scores DIDs based on live performance data, then prioritizes the highest-performing numbers for call routing. Poor-performing numbers are automatically deprioritized, allowing teams to stay ahead of issues without constant oversight.

Read More: The Sko Paradox: From Hype to Execution – Fixing Sales Kickoffs for Real Performance Gains

“We’ve already seen contact rate improvements of 50% or more in our beta customers,” said Phi Le, CTO of Convoso. “Beyond that, Convoso Ignite is automating DID management, a process often handled by full-time staff at outbound call centers. So we’re saving our customers money with improved efficiency while boosting their revenue.”

With automation built into DID procurement and management, ops teams can eliminate manual admin tasks and instead focus on optimizing revenue-driving execution.

The results? Stronger contact rates. Fewer wasted dials. Lower cost per acquisition. “When we started with Convoso Ignite, we saw a 48 to 50% increase in contact rates,” said Josh Grant, President and CEO, Prospects DM. “We were getting so many connected calls that I actually had to turn down the dial level.”

“We’re seeing a lot of success since we started on the Convoso Ignite beta,” said Jeramee Douglass, Workforce and Telephony Administrator at Quintessa Marketing. “The contact rate on our leads has doubled – we went from around 4.5% to about 9% contact rate, and that’s including leads that are over 30 days old.”

Convoso Ignite will become publicly available this summer. As part of Convoso’s performance-first vision, Ignite ensures that every conversation starts from a smarter dial, and outbound teams are equipped to scale profitably in fast-changing landscape.

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G2 Introduces AI-Led Conversational Reviews and Research with Acquisition of unSurvey

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Voice-based feedback and on-demand AI interviews redefine how buyers share insights and businesses gather intelligence

G2, the world’s largest and most trusted software marketplace, announced it has acquired AI-first capabilities and talent from unSurvey, a YCombinator-backed, multi-agent AI system that conducts human-like, AI-moderated conversational-based interviews. This addition strengthens G2’s AI capabilities by introducing a transformative approach to review collection and custom research, eliminating the need for cumbersome surveys, forms, and manual research.

“This innovation expands how reviews are collected and insights are captured, helping buyers, sellers, and strategists get the information they need faster and more effectively,” said Godard Abel, co-founder and CEO of G2.

“As AI reshapes how people interact with technology, we’re focused on removing friction from the software buying and research experience,” said Godard Abel, co-founder and CEO of G2. “By integrating unSurvey’s conversational AI, we’re making it easier for users to share feedback and participate in research—just by having a natural dialogue. This innovation expands how reviews are collected and insights are captured, helping buyers, sellers, and strategists get the information they need faster and more effectively.”

Reimagining reviews – now with voice, text, and AI-guided dialogue

By embedding unSurvey’s AI-powered capabilities into G2, every product listing—all 180,000+ of them—will support a new kind of review experience: one powered by real dialogue, context, and sentiment. As a result, software buyers and researchers will gain access to richer, more insightful reviews, rooted in real, nuanced conversations to inform their decisions, while companies gain higher-quality customer feedback to inform product development and messaging.

This approach also means that submitting a review will be as easy as any voice-to-text experience, with an AI moderator guiding users along the way. Ultimately, this will allow reviewers to share their reviews however they choose—via text, voice, or video. In turn, this will accelerate G2’s marketplace beyond the 3 million+ verified reviews it currently features and its ‘reviews to revenue’ flywheel for all 3,600+ G2 customers.

Read More: SalesTechStar Interview with Ann-Christel Graham, Chief Revenue Officer at Sovos

“People don’t want to fill out forms—they want to be heard. We built unSurvey to make meaningful conversations scalable, without sounding robotic or scripted,” said Alex David, co-founder and CEO of unSurvey. “Joining G2 allows us to bring this technology to hundreds of thousands of software products and millions of users, providing unparalleled depth to reviews and expanding how they are gathered, understood, and used.”

Transforming how businesses access insights with AI-led research

With unSurvey, G2 is also reimagining how researchers and companies get the answers they need, when they need them, with new AI-led custom market research. Traditional surveys are often limited in depth, biased in structure, and burdensome for respondents. Additionally, accessing bespoke research and benchmark data for an individual organization is lengthy, complicated, and costly.

A leader in AI-led research, unSurvey’s technology replaces traditional feedback methods with structured conversations that feel natural, while also being engineered to uncover deep insight. With this new AI-first custom research approach, organizations can put an AI Agent to work with whatever audiences they want to drive meaningful, in-depth interviews with — collecting the data needed for their desired report.

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“Compared to traditional research methods, the speed and depth of insight we can now deliver is game-changing,” added David. “Organizations no longer need to rely on costly, time-consuming market research processes — our AI agents make it possible to gather rich, structured feedback in a fraction of the time.”

Expanding G2’s AI expertise with new leadership and technical experts

The founding team of unSurvey joins G2 to lead the new AI solutions team, working alongside existing Product R&D teams. New leaders joining G2 include:

  • Alex David, co-founder and CEO of unSurvey, is an experienced go-to-market leader with a track record of building successful AI and SaaS businesses. He has joined G2 as General Manager of AI Solutions.
  • Andrej Žukov Gregorič, co-founder and CTO of unSurvey, holds a PhD in Machine Learning, is an Academic Fellow at the Centre for Machine Learning at Royal Holloway, University of London, and led the development of the company’s AI-powered voice interview technology. Andrej is now G2’s AI CTO.
  • Praveen Maloo, co-founder and CPO of unSurvey, has over 15 years of product leadership experience at Microsoft, Amazon, and startups. He led the global product strategy for Microsoft Teams from incubation to over 100 million daily users. Praveen has joined G2 as Senior Director of AI Product Management.
  • Rahul Kavale, lead software engineer at unSurvey, built the fault-tolerant voice-call system with 99.98% uptime. He also engineered the conversational framework, reducing invalid responses by 95%. Rahul now serves as Principal AI Engineer at G2.

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Revenue Analytics Launches AI-Powered Commercial Suite to Amplify N2Pricing RMS Offering

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The suite debuts with a powerful AI Report Generator, while new innovations like the Health Scorecard and Extended Stay Rate Management continue to expand N2Pricing’s impact

Revenue Analytics, a leader in hospitality revenue management systems, announced the launch of the N2Pricing Commercial Suite, a powerful expansion of its industry-leading RMS designed to transform how hotels track performance, gain insights, and enable strategic planning.

The Commercial Suite introduces new capabilities focused on amplifying how revenue teams understand and communicate performance. The first release in the suite is the AI Report Generator, a breakthrough tool that solves a common pain point for revenue managers: the time-consuming and manual process of extracting insights from multiple static reports to understand what’s driving business performance. Too often, valuable opportunities are missed, and time is spent reacting instead of leading. The AI Report Generator eliminates that inefficiency by automatically pulling and cross-referencing data across key reports including PickupPaceMonth at a Glance, and Competitor Analysis — then generating a custom-built, editable report canvas complete with charts, trends, and key insights that highlight the most important commercial drivers.

Read More: SalesTechStar Interview with Ann-Christel Graham, Chief Revenue Officer at Sovos

The AI-powered reporting solution gives revenue managers a smart, data-driven starting point. From there, teams can layer on their own business context and human insight to tailor the message, identify nuances, and guide stakeholder conversations, blending machine precision with human expertise.

In addition to the Commercial Suite offering, Revenue Analytics is also expanding the power of N2Pricing with two new innovations:

  • The Health Scorecard gives leadership teams a new level of transparency into how N2Pricing is being used across the organization. It highlights how engaged users are, how often price recommendations are accepted, and how different properties are leveraging the system. With this visibility, leaders can better support adoption, identify training opportunities, create an accountability model, and ensure the technology is driving ROI.
  • Extended Stay Rate Management addresses a longstanding gap for properties serving long-stay guests. Traditional pricing tools often treat all rate products the same, but extended stay guests, such as weekly or monthly travelers, behave very differently than short-stay guests. With this feature, properties can now set differentiated rates by length-of-stay tier (e.g., daily, weekly, monthly), enabling a more accurate and competitive pricing strategy for this unique demand segment.

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“N2Pricing has long empowered revenue leaders to optimize pricing — now we’re helping them maximize their influence,” said Bill Brewster, CEO of Revenue Analytics. “With the Commercial Suite’s AI Report Generator and new innovations like the Health Scorecard and Extended Stay Rate Management, revenue teams can communicate insights more effectively, act more strategically, and deepen their impact across the organization. This is the next evolution of our platform, and it’s just the beginning. We’ll continue building new capabilities that help teams stay ahead of change, drive alignment, and lead with confidence.”

These enhancements reflect Revenue Analytics’ ongoing investment in helping hospitality leaders maximize performance through a single, unified platform. The Commercial Suite will continue to evolve throughout 2025, with additional innovations already in development.

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Invoca Releases Definitive Cross-Channel and Cross-Industry Buyer Conversion Benchmark Report

AI-powered analysis of 60 million phone conversations reveals phone lead conversion rates of 37% across industries

Invoca, the leader in AI-powered revenue execution platforms, announced the release of its Invoca Call Conversion Industry Benchmarks Report, 2025. The comprehensive analysis of over 60 million phone calls demonstrates that phone conversations remain critical conversion points, with 61% of callers speaking directly with a person and 37% of phone leads converting during the call.

Analysis of over 60 million phone calls demonstrates that phone conversations remain critical conversion points.

The research analyzed contact center performance across automotive, business services, consumer services, financial services, healthcare, home services, senior care, telecommunications, travel and hospitality industries, revealing variations in how businesses handle phone leads and convert them to revenue. The findings provide essential call center benchmarks for companies looking to optimize their marketing investments and improve conversion rates.

Read More: SalesTechStar Interview with Hayden Stafford, President & Chief Revenue Officer at Seismic

“It’s easy to assume that digital commerce has rendered calls to businesses irrelevant. Yet for many companies, especially those with high-value products and services, phone conversations remain critical conversion points where revenue is won or lost,” said Peter Isaacson, Chief Marketing Officer at Invoca. “Whether you’re a CMO looking to maximize ROI, a contact center leader working to boost conversion rates, or a CX professional working to improve customer experiences, these benchmarks provide the foundation for data-driven revenue execution strategies.”

Five Key Contact Center Statistics That Define Industry Performance

  1. 61% of callers to businesses speak with a person. Unanswered calls include situations where automated systems successfully resolve needs, but call answer rates vary significantly—from 54% to 69% across industries—showing a clear need for businesses to track and benchmark their contact center performance.

  2. 35% of calls from digital marketing are qualified leads. Many marketing teams miss this when calculating cost per lead. Lead rates can be as high as 54% in certain industries, highlighting the importance of tracking phone conversions and utilizing that data to optimize digital marketing.

  3. 37% of phone leads convert during the call. When reviewing contact center performance across all industries, phone call conversion rates reach as high as 46%, demonstrating the significant revenue potential that can be achieved when optimizing call experiences.

  4. 28% of phone calls are rated as “excellent” by contact center managers. This contact center performance metric demonstrates the importance of using AI-powered quality management to analyze all conversations and identify specific coaching opportunities at scale.

  5. 35% of agents ask leads to make a purchase or book appointments. This metric highlights how agent training and coaching programs can drive measurable improvements in conversion performance.

Read More: How Have Investment Patterns in SalesTech Changed in 2025?

The report provides actionable tips and tactics for companies to improve contact center performance across key metrics, including answer rates, lead rates, and conversion rates, enabling businesses to drive significant revenue growth.

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Only 11% of Teams Have Scaled AI: Order.co’s 2025 Benchmark Report Reveals Urgent Gap in Procurement, Finance, and Ops

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New research from 100+ finance, procurement, and operations leaders highlights AI-driven results – up to 50% cost savings – but shows most teams remain in early-stage adoption.

Order.co, the world’s leading B2B Ecommerce Platform, announced its release of an exclusive report, The State of AI in Procurement, Finance & Operations: 2025 Benchmark Report, detailing how back-office teams leverage AI based on a survey of 100+ professionals in procurement, finance, and accounting roles. Participants ranged from individual contributors to C-Suite leaders across a diverse range of industries, including retail, property management, health and wellness, nonprofits, and more.

The report breaks down the impressive results that early AI adopters have already achieved, analyzes the most common barriers to adoption, and offers a 7-stage AI adoption maturity model to help businesses succeed in their AI initiatives.

“AI transformation is happening in the back office faster than people might realize,” said Matt Garippa, Chief Business Officer and Co-founder at Order.co. “Whether teams are just getting started or are well into their AI adoption journey, understanding real-world use cases can help them move faster and avoid costly missteps. The businesses that will come out ahead are the ones taking action now, not waiting on the sidelines.”

Read More: SalesTechStar Interview with Ann-Christel Graham, Chief Revenue Officer at Sovos

Key findings from the report:

  • 70% of organizations are actively exploring AI, yet only 11% have fully implemented it
  • Early AI adopters report transformational results:
    • Up to 50% cost savings
    • 31–50% faster workflows
    • 75% fewer procurement errors
  • 91.7% of procurement teams are leveraging or planning to use AI for advanced spend analysis
  • 80% of finance teams use AI for fraud detection and anomaly monitoring
  • 83% of operations teams report AI as essential for process optimization and workflow automation

Read More: The Sko Paradox: From Hype to Execution – Fixing Sales Kickoffs for Real Performance Gains

The report also features direct quotes from survey respondents, offering firsthand insights into how they plan to leverage AI in their specific roles. One Billing & Supplies Coordinator at a Law Firm shared, “I’m hopeful that with Generative AI, we’ll be able to assess costs more quickly and develop a better spending plan with improved item organization.” From a procurement and operations perspective, a Senior Director of Operations in the Retail Industry noted, “AI-driven analytics will likely enhance our ability to forecast demand more accurately, optimize supply chains, and even predict maintenance needs for physical products.”

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Threecolts Announces Appointment of Tanya Andreev Kaspin as Chief Financial Officer

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Former Innovid CFO Brings Public Company Leadership Experience to Fast-Growing Commerce Software Platform

Threecolts, a leading software platform to optimize operations for online sellers, brands, and retailers, announced the appointment of Tanya Andreev Kaspin as Chief Financial Officer. Tanya brings extensive public company leadership experience to Threecolts, having previously served as CFO of Innovid, which she successfully guided through its public listing.

This key executive appointment follows Threecolts’ successful launch of its bundled solutions strategy in February 2025, which has contributed to the company’s strong performance in the ecommerce software sector.

At Innovid, Andreev Kaspin played a crucial role in the company’s successful public listing and subsequent financial performance. Her expertise in capital markets, financial operations, and strategic planning adds significant strength to Threecolts’ executive leadership.

Read More: SalesTechStar Interview with Ann-Christel Graham, Chief Revenue Officer at Sovos

“I’m excited to join Threecolts at such a transformative moment,” said Andreev Kaspin. “The company’s impressive track record and growth opportunities demonstrate both the resilience of its business model and the effectiveness of its strategic vision. I look forward to working with Yoda and the entire team to execute Threecolts’ vision of building the next generation ecommerce operating platform and delivering exceptional value to our customers, partners, and investors.”

Read More: The Sko Paradox: From Hype to Execution – Fixing Sales Kickoffs for Real Performance Gains

“We are thrilled to welcome Tanya to our leadership team,” said Yoda Yee, Founder and CEO of Threecolts. “Her exceptional track record in capital markets will be invaluable as we consider strategic opportunities ahead, including potential public market entry. Her expertise significantly strengthens our ability to scale Threecolts to its full potential.”

Andreev Kaspin joins a seasoned executive team that includes Yoda Yee (Founder & CEO, ex-Amazon), Dan Blumenfeld (three prior exits including an IPO and acquisitions by Google and Intuit), Mike Dash (two prior exits), and Matt Ryan (sales leader who led Yotpo’s growth to over $100M ARR).

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RingCentral Breaks Down UCaaS-CCaaS Silos with New Customer Journey Analytics Launched at CCW Las Vegas ‘25

Connects the entire customer call journey—no more lost context between systems

AI Agent Assist goes GA delivering measurable impact: half the call time, double the productivity

RingCentral, Inc., a global leader in AI-powered business communications, launched new Customer Journey Analytics at CCW Las Vegas ‘25, providing a complete view of the entire customer call journey across both Unified Communications as a Service (UCaaS) and Contact Center as a Service (CCaaS) environments—addressing a critical gap in understanding the overall customer experience. In addition, RingCentral announced the general availability of AI Agent Assist, with early adopters reporting game-changing results. With its combination of analytics and AI innovations for RingCX™, RingCentral is redefining how businesses engage with customers through a fully connected, AI-driven experience.

Delivering Complete Customer Intelligence

“The contact center industry has been solving problems in isolation for too long,” said Jim Dvorkin, SVP of Customer Experience Products at RingCentral. “What we’re delivering is complete customer intelligence—comprehensive analytics that capture every voice conversation detail. When you can see the full customer journey AND have AI actively improving every interaction in real-time, that’s when breakthrough customer experiences happen.”

RingCentral’s approach addresses a critical industry challenge: fragmented customer experiences caused by disconnected systems and incomplete data. By combining journey analytics with AI-powered capabilities, organizations gain both the visibility to understand what’s happening and the intelligence to act on those insights instantly.

Read More: SalesTechStar Interview with Hayden Stafford, President & Chief Revenue Officer at Seismic

Closing the UCaaS-CCaaS Gap

RingCentral’s new Customer Journey Analytics provides the essential foundation for AI-driven customer experiences. Unlike traditional solutions that lose critical context when calls move between systems, RingCentral’s unified platform maintains conversation continuity across multiple touchpoints throughout the interaction.

When customer interactions originate in RingCX and transfer to RingEX™ specialists—or vice versa—organizations receive detailed metrics and insights for each segment of the conversation. This comprehensive visibility enables intelligent routing, strengthens collaboration between front-line agents and back-office experts, and ensures no customer context is ever lost. This complete journey visibility becomes the data foundation that powers RingCentral’s AI capabilities, enabling more precise and impactful AI-driven improvements.

AI That Transforms Insights into Action

Building on this analytical foundation, RingCentral’s comprehensive AI suite transforms customer intelligence into immediate business impact:

AI Agent Assist (Now Generally Available): This intelligent co-pilot instantly surfaces relevant information from across the organization’s knowledge base, giving agents answers the moment they need them, informed by the complete customer interaction history.

“AI Agent and Supervisor Assist have been a game-changer for our customer service team. By cutting call handling times from 10 minutes to just 5 minutes, our agents have been able to double their daily call volume, going from 20 to 40 calls per day,” said Natalie Bolfeta, Office Operations Manager at ClaimSolution Inc. “On top of that, we’ve increased our first contact resolution rates by 35%. With these features, we’re getting faster resolutions and delivering better overall experiences.”

AI Interaction Analytics (Beta): This capability analyzes 100% of customer interactions—enhanced by a complete view of customer interactions—to provide sentiment analysis and predictive CSAT scores. Organizations can identify and address satisfaction issues before they escalate, turning potential detractors into promoters across the entire customer journey.

Agent Screen Recording (Beta): Combined with journey analytics and AI-powered insights, supervisors gain unprecedented visibility into agent workflows and customer context, enabling precision coaching that directly impacts performance.

“We’re excited about Agent Screen Recording because it finally gives our supervisors the complete picture,” said Bobbie Pierson, Vice President, Communications Services at LifeLink Foundation, Inc. “Understanding not just what our agents say, but how they work through complex cases will transform our coaching approach. This level of insight will help us deliver even better support to the communities we serve.”

Read More: AI Might Know the Customer, But It Doesn’t Know People

The Multiplier Effect: Integrated Intelligence Drives Continuous Improvement

The transformative power emerges when Customer Journey Analytics and AI capabilities work together as an integrated intelligence platform. AI Quality Management—already adopted by over 50% of RingCX customers since its 2024 launch—creates a continuous improvement loop enhanced by complete journey visibility.

The system identifies patterns across thousands of interactions spanning the entire customer journey, automatically generates coaching recommendations based on comprehensive context, and measures the impact of training initiatives in real-time. This integrated approach enables organizations to elevate customer satisfaction by ensuring agents receive precise, actionable guidance informed by complete customer sentiment data from every touchpoint and conversation.

“What we’re seeing is a complete reimagining of the contact center,” noted Lou Reinemann, Research Director, AI-Enabled Sales, Customer Services and Contact Center Strategies at IDC. “The ability to understand and visualize the entire customer experience – from initial contact through multiple touchpoints and transfers – is where the real value lies from a customer perspective. RingCentral isn’t just adding features; they’re creating an intelligent ecosystem where every component amplifies the others. This is what the future of customer experience looks like.”

Built for Businesses of All Sizes

RingCX scales from small businesses to global enterprises, with availability through several of RingCentral’s global service provider partners, including AT&T, BT, MCM, Vodafone, and Zayo. For AT&T customers, RingCX is in controlled availability and will be made generally available in Q3’25.

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Supply Chain Planning Enters the AI Agent Era Daybreak Raises $15M Round to Lead the Shift

TPG Growth and Dell Technologies Capital back Daybreak’s vision to redefine enterprise planning using AI agents. Waleed Ayoub joins as CTO.

Daybreak, the AI-native supply chain planning platform, announced a $15 million Series A investment round from TPG Growth and Dell Technologies Capital to accelerate its mission of eliminating $200B in global inventory waste. The company also announced the appointment of veteran AI executive Waleed Ayoub as Chief Technology Officer.

Today’s supply chain teams are trapped in outdated, rules-based planning systems that can’t adapt to market volatility—leading to a 28-day increase in inventory since 2010 for global manufacturers. Daybreak rescues planners from this daily chaos with autonomous AI agents that surface risk, prioritize where intervention is most likely to add value, and show exactly how each decision was made.

Read More: SalesTechStar Interview with David Sudbey, Chief Customer Officer at Dialpad

“Today’s planning tools were built for a world that doesn’t exist anymore,” said Tim Krug, President of Daybreak. “We’re not incrementally improving today’s tools—we’re fundamentally changing how predictions are generated and decisions are made. Our goal is simple: create more time for people, more profit for businesses, and less waste for the planet.”

“This isn’t just AI—it’s a new class of software,” said Waleed Ayoub, Chief Technology Officer. “Our agents continuously learn, adapt, and act so planners can focus on the strategic calls that create value—for the business, for their teams, and for the world.”

Daybreak’s platform is already delivering more accurate forecasts and faster, higher-quality decisions at global CPG and industrial companies. Unlike black-box tools, Daybreak offers explainable AI that plugs into existing systems, delivering measurable ROI—often in just a few months.

Read More: Reducing Sales Burnout: How Sales Automation Supports Mental Health in Sales

The investment will accelerate Daybreak’s roadmap across three strategic areas:

  • ML Ops Industrialization – Building domain-specific pipelines that deliver faster, more accurate predictions at lower cost by industrializing machine learning operations across common planning workflows.
  • Decision Intelligence – Enhancing Daybreak’s explainable AI engine to surface probabilistic risks, incorporate human judgment, and improve decision quality across complex trade-offs.
  • Agent Ecosystem Expansion – Scaling a swarm of intelligent AI agents that automate repetitive tasks, interact via natural language, and continuously learn from every decision to improve speed and efficiency.

“Investing behind agentic AI is a key thematic priority for us at TPG,” said Nehal Raj, Partner at TPG. “Daybreak is building the agentic AI intelligence layer that supply chains need to be successful.”

“The power of agentic AI is in its ability to make the complex simple. Over the next few years, we’ll witness its profound impact across every business function,” said Scott Darling, President at Dell Technologies Capital. “For supply chains, Daybreak is leading the charge by delivering clarity at speed to the people shaping supply chain strategy across the enterprise.”

“What excites me most is the team,” said Stephen Collins, CEO. “From Michael Ciatto, who led 200+ supply chain transformations, to Trevor Miles, who helped shape Kinaxis and i2, to Waleed and Tim—these are people who’ve delivered for the world’s biggest supply chains and know how to win.”

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

Global Survey Reveals 81% of Enterprise CX Leaders Plan to Deploy AI in 2025

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Organizations are prioritizing AI for CX insights and analytics, while security and ethics top the list of concerns

ibex , a leading global provider of business process outsourcing (BPO) and AI-powered customer engagement technology solutions, announced the results of a new global survey, conducted by Ryan Strategic Advisory, which reveals that artificial intelligence is quickly becoming a core focus for customer experience (CX) leaders around the world. The survey found that 81% of global CX executives are planning to integrate AI technologies into their contact centers this year.

“The results of this year’s survey indicate that there is wholesale buy-in for AI among enterprise contact center leaders,” said Peter Ryan, head of Ryan Strategic Advisory. “The reality is that no one running a sophisticated, quality-driven CX operation can hide from this innovative technology – better to embrace it now and leverage its considerable advantages from both operational and front-line delivery angles.”

The survey captured insights from 819 enterprise executives with strategic decision-making authority over contact centers. The findings underscore the importance for BPO providers to align their AI offerings with the specific needs of enterprises. With over 80% of respondents aiming to expand the reach of AI within their operations, demand is surging not only for innovative solutions, but also for the talent and expertise to deploy AI effectively.

Read More: SalesTechStar Interview with Ann-Christel Graham, Chief Revenue Officer at Sovos

“This new research confirms what we’ve been seeing across the board—AI is a game changer and rapidly becoming an essential tool for modern CX operations,” said Andy Wilkens, Chief Technology Officer at ibex. “What’s particularly encouraging is seeing the sophisticated understanding executives now have about AI’s potential applications. They recognize the need to balance the transformative value with security and ethical concerns around these technologies, which underscores the need for thoughtful AI deployment. At ibex, we’re deploying transformational AI solutions that address the specific priorities of CX executives while providing the security, compliance and domain expertise needed for long-term success.”

When asked to rate AI’s most valuable applications on a scale from one to five, respondents highlighted CX insights and analytics (4.3 out of 5) and real-time agent assistance (4.0 out of 5) as the areas where AI has the most benefit.

Read More: The Sko Paradox: From Hype to Execution – Fixing Sales Kickoffs for Real Performance Gains

The survey also identified key concerns regarding AI implementation. Security and privacy issues topped the list with 50% of respondents ranking these among their top concerns, closely followed by the ethical use of AI at 49%. Quality matters registered moderate concern at 35%, while development process bias (29%) and limited knowledge about AI tools (16%) were less pressing worries.

ibex delivers innovative business process outsourcing (BPO), smart digital marketing, online acquisition technology, and end-to-end customer engagement solutions to help companies acquire, engage and retain valuable customers. ibex operates a global CX delivery center model consisting of approximately 30 operations facilities around the world, while deploying next generation technology to drive superior customer experiences for many of the world’s leading companies across retail, e-commerce, healthcare, fintech, utilities and logistics.

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Ensemble and Cohere Launch End-to-End Agentic AI Platform for Integrated Revenue Cycle Orchestration

Ensemble Health Partners Releases 2024 Healthcare Business

Ensemble, the industry leader in end-to-end revenue cycle management (RCM), announced the launch of a transformational agentic AI platform for RCM in partnership with Cohere, the leading security-first enterprise AI company. This platform combines Cohere’s AI engineering expertise and robust security standards with Ensemble’s proven revenue cycle performance to elevate the results Ensemble delivers for hospitals and health systems — improving revenue yield, reducing friction and elevating the patient experience.

This marks the first healthcare deployment of Cohere North, a secure enterprise-grade agentic AI infrastructure, purpose-built for complex, regulated environments. Trained on over a decade of Ensemble’s award-winning performance data and embedded deeply within its operational workflows, the platform enables AI agents to reason, learn, and act across the full revenue cycle in real time.

“We’re integrating agentic orchestration into our end-to-end RCM model to ensure every action taken across the revenue cycle by our operators or agents reflects our proven best practices and highest performance standards,” said Judson Ivy, Founder and CEO of Ensemble. “Instead of training and deploying modular AI to address fragments of the revenue cycle, our clients get the benefit of AI-powered performance and rapid revenue improvement at scale from a single partner they can count on to deliver results.”

Enterprise AI Orchestration in Action

Unlike traditional vertical AI tools or agents that automate isolated tasks, Ensemble is integrating agentic capabilities horizontally across the entire revenue cycle, from front-end authorization and patient access to back-end collections and denials. These agents learn from every interaction, continuously reinforcing upstream improvements to reduce friction, prevent denials, and accelerate revenue.

Read More: SalesTechStar Interview with Ann-Christel Graham, Chief Revenue Officer at Sovos

The first network of agents, co-developed with Cohere, is focused on managing the most complex and fragmented part of the cycle — insurance reimbursement. Powered by advanced reasoning models and a human-in-the-loop safety framework, these agents can interpret account nuances, take multi-step actions, coordinate across Ensemble’s AI ecosystem and learn from operational feedback to successfully resolve accounts.

Initially, these agents are expected to manage at least 40% of AR follow-up tasks that previously required human intervention, with plans to scale significantly through reinforced learning. Ensemble has active pilots underway to deploy integrated agents to manage other complex processes, including authorization management, utilization management, coding and denial prevention.

These agents orchestrate actions across Ensemble’s growing suite of AI-powered solutions, including clinically trained generative AI for denial appeals, conversational AI for patient engagement, predictive models to prevent denials, and agent assistants to support frontline staff. Together, these solutions are delivering significant results, including accelerating denial appeals by 40%, improving denial overturn rates by 15%, helping patients resolve inbound calls 35% faster and improving overall patient satisfaction.

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Ensemble’s AI orchestration enhances the functionality of client host systems and ensures the electronic health record (EHR) system remains the source of truth by leveraging Ensemble’s data and operational excellence to deliver rich insights and actions. This approach delivers on the promise of Ensemble’s scale without sacrificing its clients’ significant EHR investments.

Powered by Cohere’s Secure AI Infrastructure

Ensemble selected Cohere for its unmatched ability to deploy secure, enterprise-grade AI in highly regulated environments. Cohere North enables Ensemble to build and deploy agents that integrate seamlessly with provider host systems, payer portals and internal tools — while maintaining HIPAA compliance and data security at every layer.

“Working with Ensemble to bring secure AI into healthcare — where data privacy is a deeply personal issue — is an incredible opportunity. Their industry leadership, data foundation, and forward-thinking approach make them an ideal partner to enter the industry,” said Ivan Zhang, Co-Founder of Cohere. “By working together, we’re setting a new standard for tackling some of healthcare’s toughest administrative challenges, and showing how agentic AI makes a real-world difference.”

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