The build is half of it. The other half is your team owning it.
Most AI and automation projects quietly fail after handover, because nobody inside the business knows how to change the thing. We ship the system and the capability together: your people trained on the actual workflow we built, not on a generic tool.
The test of a good handover is whether your team ships the next change without us. That is what we optimise for, and it is the opposite of most agency incentives.
Training runs on the system we built for you, with your data and your edge cases, because generic tool training does not transfer.
Playbooks and runbooks a new joiner can follow. Knowledge that lives in one person's head is a risk, not an asset.
The specific things we build under this.
Build the model first
We design and ship the working system, because there is nothing useful to train on until something real exists.
Workshops on your build
Hands-on sessions run against your live workflow — how it works, where it breaks, how to change it safely.
Playbooks and runbooks
Written procedures for the operations that will recur: the weekly job, the failure path, the seasonal change.
AI literacy for the team
What these systems can and cannot do, how to judge output, and where a human must stay in the loop. The judgment, not the buttons.
Prompt and agent maintenance
How to change an agent's behaviour, test it against the eval set, and roll back when a change makes it worse.
Corporate cohorts
Structured programmes for larger teams, sequenced by role — operators, managers and the people who will own the system.
Pairing with your engineers
Your developers alongside ours during the build, which is the fastest transfer there is and costs nothing extra in time.
Capability audit
An honest read of what your team can maintain today, so scope matches reality rather than optimism.
What we hold to, whatever the brief says.
Trained on the real thing
Never a sandbox. The system they learn on is the system they will run.
Sequenced by role
An operator and an engineer need different sessions. Combining them wastes both.
Written before spoken
If it only exists in a session recording, it will be lost within a quarter.
Designed to be left
We measure success by how little you need us afterwards.
From first call to running in production.
- 01Capability auditWhat the team can maintain now, and what the gap is.
- 02BuildThe working system — there is nothing to train on before this.
- 03PairYour engineers alongside ours during the build itself.
- 04WorkshopRole-sequenced sessions on the live workflow.
- 05DocumentPlaybooks, runbooks and the decisions behind them.
- 06Step backA supported period where they lead and we answer.
Where we've done this before.
Before you ask.
Can we just buy training without a build?
We can, but it is worth less. Generic AI training does not survive contact with your actual systems — the transfer happens when the workflow is yours.
How long does enablement take?
It runs alongside the build rather than after it, then a supported period of a few weeks where your team leads and we answer.
What if our team is non-technical?
Most are. The sessions are sequenced by role, and operators get the judgment and the procedures rather than the code.
Need training & enablement?
Tell us the problem rather than the solution. We will tell you whether this is the right service for it, including when it isn't.