A Demo Is Not Proof: An AI Vendor Evidence Scorecard
A practical evidence scorecard for testing AI vendor claims, access, ownership, acceptance, and exit conditions before a US small business scales a purchase.
PATech Labs News
What's happening with AI in business: facts, primary sources, and named authors. In English, Russian, and Spanish.
A practical evidence scorecard for testing AI vendor claims, access, ownership, acceptance, and exit conditions before a US small business scales a purchase.
A source-backed framework for comparing an AI receptionist with human reception coverage without confusing list price, wages, scope, and operating risk.
A practical guide to the difference between chatbots, workflows, and AI agents, including tool permissions, human approval, cost, latency, and a safer path to deployment.
Google is adding information about AI-created ad assets to My Ad Center. Here is what the feature does, what it does not prove, and how a small business can build a safer review workflow.

A practical way to separate inbound answering, outbound telemarketing, call recording, disclosure, and escalation before an AI receptionist goes live.

OpenAI introduced Presence, an enterprise platform for voice and chat AI agents that is deployed by OpenAI engineers rather than sold as self-service. Early customers include BBVA Mexico, SoftBank and IAG. We break down the launch facts and what they mean for banks, clinics and call centers.

A new McKinsey report says the next phase of enterprise AI will be decided by unit economics. About 60 percent of an agentic task's cost goes to verifying and refining answers, agent tasks can burn nearly 1,000 times more tokens than chat, and six distinct drivers shape the bill. Here is what that means in practice for teams putting agents into production.

Lyzr pointed its own AI agent, SivaClaw, at its $100M Series B, drafting memos, answering 130+ investors, and tracking slide engagement. The round is still coming together. Here is what that actually proves for enterprises building agents.

Microsoft announced the Frontier Company on July 2: a $2.5 billion unit with more than 6,000 engineers who will work inside customer organizations to build and run AI systems. It follows similar moves by Amazon, OpenAI and Anthropic, and it confirms that the hardest part of enterprise AI is no longer the model. It is the deployment.

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.