AI Center of Excellence design
Operating model, roles, intake and prioritization process, and funding mechanics, fitted to your organization rather than 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, across 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 repositories, including evals, pipelines, and 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, and when to kill a project, for the people signing the budgets.
Playbook library
Reusable templates covering use-case scoring, model approval, and 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, the capability that stays
Straight answers
It is our model. Firms that maximize dependency get one big client and a reputation; firms that transfer capability get the region. We are 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.