Guide
How to buy, price, scope and watch an agent, step by step.
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Should you build or buy AI agents?
Building one agent is quick. Running it for years is the bill nobody quotes.
What is human in the loop AI?
It works when one person you name reviews only what the system is unsure of. You set where “unsure” starts.
AI agents vs RPA: what is the difference?
RPA follows steps. Agents make judgements. Your back office probably needs both.
What should you ask an AI vendor before signing?
Twelve questions that separate a system you can run from a demo you can't control. Ask us first.
Why do AI projects fail?
An MIT NANDA report found most generative AI pilots showed no measurable return. The model was rarely the problem. The work around it was.
What should an AI audit trail contain?
Seven fields. And why logs don't count. What your risk team will ask for, and what most systems can't produce.
How to set a spend limit on an AI agent
Set it in money, not tokens. Three levels, enforced inside the system. And how to get the number from the process you're replacing.
How to monitor AI agents in production
Uptime tells you it's running. Not that it's right. Four signals to watch: quality drift, hold rate, spend per run, latency.
What is AI governance?
Six controls. What an AI system may do, on whose authority, at what cost, with what proof. A working guide, not a policy template.
The controls in these notes are what Gatehouse, Surehand’s control plane, enforces at runtime.
See Gatehouse