Stop confident nonsense.
We test outputs, edge cases and sources so the AI knows when to answer, when to ask and when to sit quietly.
A new HAAM service
AI can draft, decide and automate. It can also confidently invent a customer, email the wrong person and turn one bad assumption into 4,000 rows of nonsense. HAAM keeps the clever little machine useful, supervised and house-trained.
No autonomous toddlers were harmed
What we watch
We inspect the workflow around the model, not only the model. That means prompts, data, interfaces, handoffs, approvals, failure states and the human who must clean up when the robot gets creative.
We test outputs, edge cases and sources so the AI knows when to answer, when to ask and when to sit quietly.
We connect AI to the actual process, including the boring systems, approvals and exceptions that demos conveniently forget.
We design oversight that is visible, fast and useful, rather than a ceremonial checkbox beside an unstoppable robot.
The babysitting plan
Start small enough to measure, consequential enough to matter and real enough that somebody currently hates doing it.
Map the current work, costs, delays and unofficial workarounds.
Prototype the AI-assisted workflow using the systems people already depend on.
Test misleading inputs, missing data, overconfidence and expensive mistakes.
Compare time, quality, review effort and outcomes before scaling anything.
Bring HAAM one slow, expensive or unreliable workflow. We will find out whether AI can improve it, build the working version and make sure somebody responsible still knows what is happening.
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