PATech Labs News
What's happening with AI in business: facts, primary sources, and named authors. In English, Russian, and Spanish.
Straiker, a Sunnyvale security company, raised a $64 million Series A to protect the AI agents that businesses now give real access to real systems. Here is what it changes for banks, clinics, and call centers deploying agents.
New US Census data shows AI is used by nearly one in five US businesses, holding at 17 to 20% since late 2025, with up to 23% of firms planning to add AI within six months.
Gartner expects AI agent software spending to reach 206.5 billion dollars in 2026, up 139 percent from 2025, yet only about 17 percent of companies have deployed agents and 40 percent of agentic projects may be canceled by 2027. The real work is deployment and governance, not the purchase.
The FDA cleared UpDoc's agentic platform, the first patient-facing clinical AI that can adjust insulin, order labs, and document care in the EHR for adults with Type 2 diabetes. The clearance is narrow, and the real lesson for healthcare AI teams is about provable control, not model power.
Colorado repealed its pioneering AI Act and replaced it with SB 26-189, a narrower transparency law that delays compliance to 2027 and removes the exemption that kept many banks and credit unions out of scope.
In five weeks, Salesforce, Coupa and Asana spent billions to own the layer where AI agents finish work instead of just suggesting it. Here is the pattern, and how to choose agent tools around it.
Cognizant connected ServiceNow AI agents to its Neuro AI platform through the open MCP standard, a concrete sign that enterprise AI is shifting from isolated agents to governed, interoperable networks. Here is what it means for businesses adopting AI.
In June 2026 Mastercard launched Agent Pay for Machines and Ramp raised 750 million dollars at a 44 billion valuation. Agentic payments are real, and here is what to set up before AI agents spend.
AI voice agents answer every clinic call, day or night, capturing bookings the moment patients are ready and cutting both missed calls and no-shows - the leak that drains an estimated $150 billion from U.S. healthcare each year.
Your enterprise AI agent just closed a deal - and tomorrow it won't remember the client's name. The #1 reason Fortune 500 AI deployments stall isn't the model, it's memory architecture. Here's what KPMG, Microsoft, and Palantir aren't telling you.
Your enterprise AI agent just forgot everything it learned last quarter. Every workflow optimization, every edge case it solved, every process nuance your team spent months teaching it - gone. This isn't a bug. It's the defining architectural flaw holding enterprise AI adoption back in 2026.
Microsoft and VentureBeat are saying the same alarming thing this week: your AI agents aren't failing because the models are weak - they're failing because your enterprise data context is broken. Here's what that means for every CTO who already signed the deployment contract.
