Intel Publishes ZUUZ Partner Brief on Agentic AI for Revenue Operations

Intel Publishes ZUUZ Partner Brief on Agentic AI for Revenue Operations

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A co-branded Intel brief describes ZUUZ, an AI layer on top of your CRM, and its optimization on Intel® Xeon® 6 processors with the OpenVINO™ toolkit

ZUUZ announced that Intel has published a co-branded “ZUUZ x intel ai” partner brief on intel.com, dated October 13, 2026 (content ID 930613). ZUUZ is an AI layer on top of your CRM that helps sales teams find the pipeline and renewals hiding in business conversations. Once a rep approves, ZUUZ updates the CRM automatically.

A renewal gets buried in an email thread, a next step gets said out loud on a call, and it never reaches the CRM.”

— Avinash Gujje, CEO and Founder, ZUUZ

For sales teams at IT services companies, VARs, MSPs and distributors, a renewal buried in an email thread or a next step said out loud on a call never makes it into the CRM unless someone types it in. ZUUZ is not a CRM. It sits on top of the CRM a team already runs, and it works with Salesforce, HubSpot, Zoho, Attio and Pipedrive.

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What ZUUZ does:

– Connects to the sales inbox, calendar, business messaging platforms, meeting platforms and call transcripts, as the brief describes it.
– Finds missed leads, deal signals and renewal opportunities, then prepares updates for leading CRM platforms.
– Updates the CRM automatically once a rep approves, and logs every action in an audit trail.

“Sales teams are not careless. They run out of hours. A renewal gets buried in an email thread, a next step gets said out loud on a call, and it never reaches the CRM. ZUUZ catches those moments, and once a rep approves, it updates the CRM for them. We are glad Intel published a brief about it,” said Avinash Gujje, CEO and Founder of ZUUZ.

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The brief says ZUUZ was optimized on Intel® Xeon® 6 processors with the OpenVINO™ toolkit. That Intel-based deployment is available from ZUUZ now. Teams that want to discuss it can write to contact@zuuz.ai. The brief reports that “OpenVINO-optimization and INT4 quantization delivered up to 5.3x higher inference throughput versus the baseline model¹,”* with the test basis in the footnote below. This is the result as Intel published it. It is not a ZUUZ customer result. Your costs and results may vary.

¹ Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy.
* Based on July 2026 testing on an Intel® Xeon® 6972P processor with OpenVINO™ 2026.2 INT4 versus PyTorch BF16.

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