Operating Model & Roles
The roles required for rollout and how they work together
AI rollouts rarely fail because of technology. They fail because the operating model is missing.
Core roles
- AI project lead: drives roadmap, prioritization, dependencies
- Use-case manager: runs intake, evaluation, delivery
- Change manager: adoption, communication, internal activation
- IT product owner: platform operations, technical decisions
- Data security/privacy: approvals and security guardrails
- HR/training coordination: learning paths and training planning
- Function champions: daily multipliers in business teams
Working model
- Monthly prioritization (use-cases, integrations, trainings)
- Bi-weekly delivery cycles (small visible outcomes)
- Regular FAQ/office hours for broad user groups
- Quarterly review with KPI and adoption view
Learnings from sales calls
- UX and mobile usage are often key decision factors
- fewer tool breaks increase adoption
- strong standards accelerate startup
- custom extensions are usually best from phase 2 onward