Programme teams eventually step down; operating norms must carry adoption forward. We embed expectations into performance conversations, operational reviews, and learning cycles so AI use is reinforced by managers and peers, not only by central communications. Sustainment is designed as a handover, not an afterthought.
How we typically help
- ·Embedding adoption into operational cadences and reviews
- ·Manager accountability and team-level reinforcement
- ·Sustainment planning beyond the initial deployment wave
Outcomes we work toward
- ·Adoption metrics that stay healthy after central programme resources taper
- ·Managers who treat AI capability as part of how the team runs
- ·Clear ownership for refresh, policy updates, and tooling changes
How engagements typically run
Best started before the final rollout wave — we build the handover plan and pilot it with a subset of functions before full transition.
Example engagements
Representative situations where organisations apply this service — patterns we see across sectors and geographies.
- ·Embed AI usage review into monthly ops reviews alongside safety and quality.
- ·Rotate “AI champion” role in each department with time allocation recognised by HR.
- ·Sunset central PMO with documented owners for prompts, models, and policy updates.
Indonesia and ASEAN context
Energy / resources firm with remote sites and JV partners
Field engineers adopted assistants during the deployment wave, but usage drops when central coaches leave. We embed short AI segments into existing safety and production meetings, align contractor onboarding to the same guardrails as employees, and assign regional sustainment leads in Balikpapan and site clusters — so adoption survives rotation and joint-venture governance complexity.