Adoption that sticks
Tools already bought and barely used start earning their licence fee.
Services / 06
AI training for teams
Hands-on sessions so your people use these tools well, know where the limits are, and know when not to trust the output.
Where it pays off
Four places this earns back fastest.
Fewer own goals
People learn what not to paste into a prompt before it becomes an incident.
A policy teams can follow
Written rules for what is fine, what needs review, and what is off limits.
Judgement about output
The most valuable skill is knowing when the answer is confidently wrong.
What ships
Everything you need to run it without us.
The working build
Deployed in your environment, monitored, with a way back if it misbehaves.
A way to check it
The tests and measures that prove the work is right before anyone relies on it, and keep proving it after.
Runbook and training
Two sessions with the team who owns it after we leave.
Source code
In your repository, under your licence. No lock-in, no black box.
FAQs
Straight answers.
What does it cost?
Most first engagements land between a four-figure fixed fee and a small phased build. You get the number after the assessment, before any commitment.
Do you need our data first?
No. The assessment works from interviews and sample records. Nothing leaves your environment until there's a signed scope and a DPA.
What if it does not work?
We agree what good looks like before we build, and measure against it as we go. If the work cannot clear that bar, we stop and say so.
Who owns what you build?
You own it all: code, prompts, models and documentation, in your repository. We keep nothing you cannot run without us.