AI Compliance
Using AI without creating a data protection, regulatory or reputational problem you have to unwind later.
AI Compliance Services
Seven compliance services covering policy, data protection, risk and the standards your sector answers to.
AI Policies
Policies short enough to read and clear enough to follow.
Learn moreCompliance Monitoring
Ongoing checks that systems still follow your policies.
Learn moreData Privacy
Data Protection Act obligations for AI systems.
Learn moreIndustry Regulations
Sector rules affecting AI use, beyond general law.
Learn moreISO Standards
Preparing for AI and information security standards.
Learn moreResponsible AI
Practical steps rather than a statement of values.
Learn moreRisk Management
Ongoing management, not a one off assessment.
Learn moreHow We Deliver
Grounded in real obligations
Kenya's Data Protection Act and your sector's rules, not a generic international template.
What you actually run
Compliance starts with an honest inventory, including the tools staff adopted without asking.
Policy people can follow
A document nobody reads protects nobody. Short, specific and usable.
Kept current
AI regulation is moving. What was compliant last year may not be this year.
How a Project Runs
From the first call to handover. You always know which stage you are in and what comes next.
Inventory
Every AI tool in use, including the ones adopted informally.
Data mapping
What personal data those tools touch, and where it goes.
Gap analysis
Where you stand against your obligations.
Policy
Rules staff can actually follow, written to be read.
Controls
The technical and procedural safeguards to close the gaps.
Monitoring
Ongoing review, because both the tools and the rules keep changing.
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.