How to Find Out What Your AI Agent Did
Keep a record of what an agent was asked, which tools it used and whether the intended business change happened.
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Agents in production
Make an agent’s actions observable, recoverable and accountable. Start with the workflow contract, then follow permissions, data, execution and recovery through to the business outcome.
These articles explain architecture and operating controls. Their worked examples are design aids; they do not establish that every platform or workflow was tested.
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A curated route through the topic. Dates below are original publication dates; follow each article for its sources and update notes.
Why AI Agents Fail at Actions: A Practical Execution and Recovery Guide
Treat tool calls as proposed actions. Authorize them in code, record attempts and check the destination system before declaring success.
How to Control AI Agents That Take Action
Follow a refund through permissions, approval, execution and recovery to see which controls belong around an AI agent.
Give AI Reliable Answers from Your Business Documents
Build retrieval around authorized, current sources and test each stage, including what happens when policies conflict or evidence is missing.
Build AI Call Support That Can Hand Off Safely
Compare voice-AI designs and plan call handling, interruptions, tool permissions and handoffs that connect to a person who can help.