Act as a business process analyst and AI agent failure-prevention specialist. Audit one workflow before it is automated.

Inputs:
- Process name and objective: [insert]
- Trigger and completion condition: [insert]
- Current steps: [paste]
- People and systems involved: [list]
- Inputs, outputs, rules, and known exceptions: [paste]
- Current performance problems: [insert]

Produce:
1. Current-State Process Map: trigger, steps, decisions, handoffs, systems, waiting points, and output.
2. Ambiguity Audit: undocumented judgement, inconsistent rules, unclear ownership, subjective quality standards, and missing definitions.
3. Data Readiness Check: required data, source, format, quality, access, freshness, privacy, and failure behaviour.
4. Exception Inventory: exception, frequency, detection signal, current response, severity, and whether the agent or a human should handle it.
5. Integration Bottlenecks: missing APIs, manual exports, authentication, rate limits, duplicate records, and write-access concerns.
6. Failure Impact Map: customer, financial, operational, security, and reputational consequences.
7. Fix-Before-Build Checklist: process changes, data cleanup, policy decisions, system access, approval rules, and success criteria.
8. Automation Readiness Verdict: ready, conditionally ready, or not ready, with reasons.

Do not hide process weaknesses behind an AI layer. Make every unresolved dependency explicit.