# AI Workflow Audit

The 2066 Labs AI Workflow Audit is the diagnostic path for finding the first team workflow worth rebuilding around AI.

## Purpose

The audit inspects live work before recommending a build. It looks at artifacts, owners, source systems, review paths, risk, team capacity, prior AI attempts, and what better speed or quality would be worth.

## Inputs

- The team or function that owns the recurring work.
- Current artifacts: briefs, tickets, dashboards, CRM notes, docs, calls, reports, or Slack threads.
- Known privacy, approval, policy, customer, and quality constraints.
- The weekly or monthly cadence where time, quality, or decisions leak.
- The leader who will sponsor adoption after the first build ships.

## Outputs

- A current-state map of the work and source systems.
- A ranked list of AI workflow opportunities.
- The first build target and review rules.
- A proof bar for cycle time, quality, adoption, or decision clarity.
- A recommendation: pass, teardown, accelerator sprint, or retainer path.

## Good First Workflow

A good first workflow repeats often, has a visible owner, uses inspectable artifacts, carries real business stakes, and has a clear proof bar.

Canonical page: https://2066labs.com/ai-workflow-audit.md