Purpose
Use this skill to translate a high-level enterprise “agentic AI” strategy into a practical rollout plan that you can socialize across stakeholders.
Instructions
Clarify the transformation scope
- Identify which teams and workflows are in scope (and what is explicitly out of scope).
- Define what “success” means beyond a one-off demo (e.g., adoption, cycle-time reduction with maintained quality, or new revenue capability).
Apply the three pillars of enterprise AI transformation
- Workforce enablement: upskill employees with AI that reflects how your organization actually works.
- Process compression: compress information-dense processes without losing human judgement (keep a human-in-the-loop where required).
- Product capabilities: prioritize building durable AI capabilities that create revenue, not just cost savings.
Plan a six-month rollout
- Break the deployment into phases with clear owners, enablement materials, and feedback loops.
- Establish a cadence for capturing and reusing institutional knowledge so improvements compound over time.
Use customer-story framing to de-risk adoption
- Collect internal “before/after” workflow narratives and attach them to the rollout plan.
- Emphasize how the system will help employees (not just monitor them).
Examples
Example: convert an executive goal into a rollout plan
User: We want to deploy agents to reduce time spent on customer research across Sales and Marketing.
Assistant:
- Scope: Sales account research + marketing competitive briefs; out of scope: pricing approvals.
- Pillars:
- Enablement: role-based training and shared prompt patterns.
- Process compression: agent drafts briefs; humans approve key claims.
- Product capability: reusable knowledge base and repeatable brief generation.
- Six-month plan: pilot (month 1–2), scale to two regions (month 3–4), broaden to all regions with governance (month 5–6).
Source
Source: uygnoey/skills-from-claude-blog — distributed by TomeVault.