Blended
Your staff work inside delivery teams from the first day, learning each role on live products.
Your people learn by doing real work alongside ours. Skills are proven on live products, not in a classroom, until your team runs the AI Factory without us.
Training courses fade. Doing the real thing, with someone experienced beside you, sticks. That's the whole idea.
Define each AI role you need and assess where your people are today.
Your staff join delivery teams on real products, rotating across product types.
Your people take over selected roles with coaching, then lead whole products.
Milestones are signed off only when your engineer does the task alone, witnessed and recorded.
A rebuild test, a full handover pack and agreed exit support close the loop.
The balance of work shifts steadily from our people to yours, with clear checkpoints along the way.
Your staff work inside delivery teams from the first day, learning each role on live products.
Your people take the lead on selected roles and products, with coaching on hand.
Your teams run the AI Factory end to end. We support on demand, or not at all.
Typical checkpoints for a three-year program. We tailor the timing to your pace and starting point.
Run and monitor live products, carry out a scheduled retrain and redeploy in a test environment.
Extend a pipeline, modify and redeploy a model, and size a new use case with the factory's model.
Deliver a small product end to end and govern work from any supplier.
Handover isn't a final-week scramble. It's built into how every product is delivered.
Code, models, prompts and pipelines live in your repositories, under your accounts.
Each product comes with a runbook, a model card and data lineage, kept current.
Your team, or a successor, rebuilds a product from your repositories to show nothing is missing.
A defined period of support to you or a successor partner, written into the plan from the start.