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

  1. Monthly prioritization (use-cases, integrations, trainings)
  2. Bi-weekly delivery cycles (small visible outcomes)
  3. Regular FAQ/office hours for broad user groups
  4. Quarterly review with KPI and adoption view

Learnings from sales calls

The recurring decision factors from real selection processes are collected in Selection Learnings; custom extensions are usually best from phase 2 onward.

Links

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