AI Center of Excellence design
Operating model, roles, intake and prioritization process, and funding mechanics — fitted to your organization, not a template.
Services · 05
The engagement fails if you still need us in year two.
We build your internal AI capability in parallel with the systems — engineers, product owners, and leadership — and we report our own declining necessity as a KPI.
The situation
Every consultancy says knowledge transfer. The test is structural: are your engineers in the repository from week one, or watching a screen-share in month six? Is there an operating model that decides which team owns a model in production, or does everything route back to the vendor?
We staff every engagement with your people inside the delivery team, and we build the scaffolding that outlasts us: a center-of-excellence design fitted to your org chart, playbooks written against your systems, and an executive layer that knows what to demand from AI teams — internal or external.
What we deliver
Engineer upskilling in the codebase
Your developers pair inside the real delivery repos — evals, pipelines, agents — shipping production code during the program.
Product & operations enablement
Product owners and operators trained to specify, measure, and run AI systems — the roles that decide long-term success.
Executive fluency sessions
What to demand from teams and vendors, how to read an eval report, when to kill a project — for the people signing the budgets.
Playbook library
Reusable templates — use-case scoring, model approval, incident response — written against your stack and your regulator.
How the engagement runs
Weeks 1–2
Baseline
Skills and operating-model assessment across engineering, product, and leadership. Honest, private, specific.
Months 1–4
Embed & build
Your people inside delivery teams, the CoE stood up alongside the first builds, playbooks written as the work happens.
Months 5–6
Step back
Kindi moves to review-only: your team ships a use case end-to-end while we watch the metrics — and then we leave.
How success is measured
- A use case shipped end-to-end by your team, unassisted
- CoE operating with its own intake, budget, and backlog
- External-consultant spend trending down, on a published curve
- Retention of trained engineers — capability that stays
Straight answers
It’s our model. Firms that maximize dependency get one big client and a reputation; firms that transfer capability get the region. We’re building for the region.
Yes, though it works best wrapped around real delivery — capability built on toy projects evaporates on contact with production.
We issue completion records mapped to demonstrated work — shipped code and operated systems — which hiring managers trust more than certificates.
Scope a capability building engagement.
One paragraph on where you are, and we’ll come back with the shape of the engagement we’d run — scope, duration, and the number it should move.