Month 1–2: Audit and pilot selection
- Current process inventory and automation candidate analysis
- Data infrastructure and integration readiness assessment
- AI governance framework draft
- Select 2–3 pilot use cases and define KPIs
Month 3–4: Pilot execution and team training
- Pilot 1: Chatbot or reporting agent (quick win)
- Pilot 2: Process automation (email/ticket classification)
- Team AI literacy training
- Weekly pilot review and iteration
Month 5–6: Scaling and governance
- Successful pilot → expand to second department
- AI Center of Excellence (CoE) setup
- Vendor/tool standardization
- Quarterly ROI report and roadmap update
90-day implementation roadmap (summary)
- Days 0–30: Process audit, pilot selection, governance draft, team definition
- Days 30–60: Pilot 1 execution, team training, weekly review cycle
- Days 60–90: Pilot 2, ROI report, scaling plan, CoE setup
Frequently asked questions
What is the biggest mistake in AI transformation?
Trying to automate all processes at once. Phased pilot approach minimizes risk and accelerates learning.
How should the AI transformation team be structured?
Minimum: AI champion (business side), technical lead, data engineer. Expand with AI CoE in larger organizations.
Conclusion
Enterprise AI transformation is a series of sprints, not a marathon. Run the audit → pilot → scale cycle systematically with a 6-month roadmap.
At Mizemedia we support this end to end. Learn more on our AI transformation solution page, request a free quote, or contact us.
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Tags:AI TransformationRoadmapEnterprise AI