How to Run an AI Autonomy Pilot in 30 Days
A 30-day execution plan to launch a credible AI autonomy pilot with measurable business outcomes.
Week 1: select one workflow, define success metrics, and map failure modes. You need objective targets and clear escalation paths before turning anything on.
Week 2: implement baseline automation in a controlled environment. Keep scope narrow and instrument every step. If you cannot observe it, you cannot improve it.
Week 3: run supervised production with daily review. Adjust prompts, rules, and routing thresholds using real operational feedback, not hypothetical assumptions.
Week 4: decide go/no-go based on KPI movement and risk posture. If targets improve and incidents are manageable, expand to adjacent workflows with the same guardrails.
A strong pilot is not about proving AI is impressive. It is about proving the business can operate more reliably with autonomy in the loop.
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