Most AI projects fail at the same place: someone automated a decision that needed a human, or left a human doing work a fixed rule could have handled.

I map your workflow — states, roles, permissions, business rules — and sequence AI adoption with a three-tier maturity framework. Tier 1 is fixed-rule automation, no reasoning. Tier 2 is an agent making bounded decisions inside a step. Tier 3 is adaptive loops, and it usually shouldn't ship yet.

On Strata I shipped Tier 2 into production where the decision surface was narrow enough to trust, and designed Tier 3 deliberately held back until audit trails and permission scopes could remove human review safely. Knowing where not to put AI is half the job.

What you get: · Full workflow map with states, roles and permissions · Every step classified L1 / L2 / L3, with the reasoning written down · What ships now, what waits, and what has to exist before it can · The audit-trail and permission requirements to move a step up a tier · A model-selection note: which steps need a frontier model and which don't, so inference cost stays predictable