The profile of a good agent workflow
The workflows where agents earn their keep share a shape: high volume, semi-structured inputs, decisions that follow rules plus judgment, and a clear definition of done. Invoice-to-PO matching. Support-ticket triage and first-draft replies. Compliance-document screening. KYC evidence gathering. Each is tedious for humans, tolerant of review, and measurable.
Workflows that resist agents share a shape too: low volume, high stakes per decision, and success criteria that live in someone's head. Automating those first is how AI programs lose credibility.
Autonomy is earned, not configured
Every agent we deploy starts in draft mode — it proposes, humans approve. Approval rates become the promotion criteria: when a category holds above 95% approval for weeks, that category graduates to autonomous execution with spot-check sampling. The audit trail records every action either way. This is how you get the compounding win without the headline incident.
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