OnStak expands AI portfolio to cut enterprise costs and speed production rollout

By AI, Created 12:55 PM UTC, May 21, 2026, /AGP/ – OnStak on May 21 unveiled new AI Portfolio capabilities aimed at reducing AI spend and helping enterprises move from pilots to production operating models. The launch includes tools for correlation, video analytics and AI assurance, with demonstrations set for Cisco Live in Las Vegas later this month.

Why it matters: - Enterprises are struggling less with AI model quality and more with getting AI into production in a controlled, cost-efficient way. - OnStak is positioning its portfolio around that gap, with claims of lower token use, faster modernization and audit-ready AI governance. - The launch targets industries with higher regulatory and operational risk, including healthcare, finance, public sector, manufacturing and retail.

What happened: - OnStak unveiled new capabilities in the OnStak AI Portfolio on May 21. - The company said the portfolio is designed to cut AI costs and accelerate the shift from pilots to production operating models. - The announcement introduced three capabilities: AI Correlation Fabric, Video AI Analytics and AI Assurance. - OnStak said it will demonstrate the portfolio at Cisco Live in Las Vegas from May 31 to June 4. - A webinar is available for people who cannot attend the event.

The details: - AI Correlation Fabric is described as the foundation for the portfolio and is in active deployment trials, with AIOps as the first use case. - Video AI Analytics expands existing capabilities with correlation applied to video and runs on cameras already in place. - Video AI Analytics is in production across healthcare, retail, hospitality and quick-serve restaurant customers. - OnStak said a U.S. healthcare network with more than 250 cameras has shown 80% better security and safety compliance in manufacturing, 75% fewer severe fall injuries in healthcare and 40% lower costs in retail. - AI Assurance is designed to turn regulatory policy into runtime enforcement and attach audit-grade evidence at runtime. - OnStak said AI Assurance is in active deployment trials with a healthcare design partner. - The company said its own Application Modernization practice now migrates a 25-application estate in 5 to 6 months, down from 9 months, with 30% to 40% less effort than interview-led programs. - OnStak said the Correlation Fabric remains in place after go-live, allowing AI to run on the modernized estate from day one.

Between the lines: - The pitch is not just about adding AI features. It is about redesigning the operating model around AI so enterprises can absorb AI work without piling on tool sprawl. - OnStak is also tying AI governance to compliance evidence, which suggests a push to make regulated adoption easier for buyers that need explainability and audit trails. - The company is using its own delivery metrics as proof that the same correlation approach can speed modernization and lower deployment effort. - OnStak framed the market problem this way: pilots often work, but production stalls when organizations lack an operating model built for AI.

What’s next: - OnStak will show AI Correlation Fabric in action at Cisco Live in Las Vegas at the end of May and early June. - The company said the portfolio will continue moving through deployment trials and production use across multiple customer environments. - OnStak and its subsidiary Digitalstates will continue working with Cisco, NVIDIA, AWS and Splunk.

The bottom line: - OnStak is betting that enterprises will pay for AI systems that reduce runtime cost, simplify modernization and create audit-ready compliance trails, not just model performance.