AI Training
Practical AI training for teams that need to use these tools well, run by people who build with them daily.
AI Training Services
Twelve training services, from executive briefings to hands-on sessions for the people doing the work.
AI Adoption
Getting tools used after rollout, not just installed.
Learn moreAI Certifications
Structured programmes with assessment and records.
Learn moreAI Change Management
The people side of automation, handled openly.
Learn moreAI Leadership
For managers leading teams through adoption.
Learn moreAI Productivity
Real time savings from everyday tools, measured.
Learn moreAI Security
What not to share, and spotting AI assisted scams.
Learn moreCorporate Workshops
On site workshops that end with something built.
Learn moreDepartment Training
Built around one team and its actual tasks.
Learn moreEmployee Training
Hands on sessions for staff, using their real work.
Learn moreExecutive Training
For directors judging AI proposals and spend.
Learn moreOnline Courses
Recorded material for shifts and distributed teams.
Learn morePrompt Engineering
Getting reliable results, and spotting wrong answers.
Learn moreHow We Deliver
Built on your own work
Sessions use your documents, your processes and your tools, not generic exercises.
Pitched at the room
An executive briefing and a hands-on session for analysts are different sessions, not the same one retitled.
Limits taught alongside capability
People who know where these tools fail use them far better than people who do not.
Support after the session
Questions arrive once people start using it for real, which is after everyone has gone home.
How a Project Runs
From the first call to handover. You always know which stage you are in and what comes next.
Needs assessment
Who needs to know what, and to what depth.
Tailoring
Material built around your work rather than a stock curriculum.
Delivery
Sessions run in person or remotely, sized to the audience.
Practice
Hands-on work on real tasks, because that is what transfers.
Assessment
Confirming the session landed, rather than assuming it did.
Follow-up
Support once people are applying it to their own work.
Staying Current
AI changes faster than most technology, and advice that was right last year can be wrong now. Keeping up is part of the service rather than a favour.
We track model releases
New models ship every few weeks and they are not interchangeable. We test the ones that matter against our own cases before recommending anything.
We evaluate rather than assume
A model that benchmarks well can still be wrong for your use case. We measure against your work, not a leaderboard.
We stay vendor-neutral
We are not resellers for anyone, so we can recommend the model that fits and change it when something better arrives.
We follow the rules as they change
AI regulation and data protection guidance keep moving, in Kenya and in the markets our clients sell into.
We build with these tools daily
Our own development runs on AI, so what we recommend is what we already depend on.
We tell clients when things change
If a better or cheaper approach appears for something we built you, you hear about it from us.
Ready to start?
Tell us what you are trying to improve and we will tell you honestly whether AI is the right answer for it.