Why do most AI agent projects fail?
Most AI agent projects fail because they’re given autonomy without governance: no human approval, no audit trail, and no system of record to anchor to. Industry analysts report that the large majority of enterprise AI pilots never reach production. The fix is structural — let AI propose, require a person to approve, and enforce the rules in the system itself.
The pattern is consistent: a pilot impresses in a demo, then stalls when it meets real money, real rules, and real accountability.
The projects that survive share one trait — the AI is bounded. It drafts, a human approves, and the underlying system guarantees the rules. maaya.works is built that way from the ground up.
Get plain-spoken notes by email.
The surest answer is to see it.
Hire your first AI-hire free and watch it draft a real task.