gabrielmoreira Pilot To Scale Roadmap
Core Workflow
- Summarize pilot goal, scope, users, metrics, guardrails, outcomes, learnings, and unresolved risks.
- Decide whether evidence supports stop, revise, extend, or scale.
- Define scaling gates across data, security, privacy, legal, support, monitoring, training, ownership, and operations.
- Plan rollout phases, dependencies, owners, success metrics, and stop rules.
- Identify production readiness gaps and governance approvals.
- Keep scale recommendations proportional to pilot evidence quality.
Safety Rules
- Do not claim a pilot is ready to scale without evidence and owner review.
- Do not recommend production AI rollout without governance gates and monitoring.
- Do not invent ROI, adoption, quality, safety, or risk results.
- Escalate sensitive data, customer impact, employee impact, regulated use, security, privacy, legal, and production dependencies.
Deliverable Shape
For pilot-to-scale work, provide:
- Pilot summary
- Evidence and confidence
- Scale recommendation
- Production readiness gates
- Rollout phases
- Owners and dependencies
- Metrics, monitoring, and stop rules
- Open risks and approvals
References
- Read
references/pilot-to-scale-roadmap-checklist.mdwhen turning AI pilots into scale, rollout, or production readiness plans.