AI Solutions
Outcome-led AI: start from the result your business needs, then work back to what should be built.
AI Solutions by Outcome
Twelve solutions organised by what you are trying to achieve rather than by which technology is involved.
Business Intelligence
One place to ask questions, with consistent numbers.
Learn moreCustomer Experience
Faster answers without trapping people with a machine.
Learn moreCybersecurity
Spotting unusual activity, and AI assisted scams.
Learn moreDecision Support
Better information for the decider, not automated decisions.
Learn moreDocument Intelligence
Turning document flow into usable data.
Learn moreEmployee Productivity
Removing repetitive work so the same team does more.
Learn moreEnterprise Search
One search across everything, permissions respected.
Learn moreFraud Detection
Finding patterns worth investigating, not accusing people.
Learn moreIncrease Revenue
Winning the work you currently lose to slow response.
Learn moreInternal Knowledge
Making what your organisation knows findable.
Learn morePredictive Analytics
Forecasting from your own history, uncertainty included.
Learn moreReduce Costs
Cutting the cost of repetitive work, measured properly.
Learn moreHow We Deliver
Starts from the outcome
The goal is agreed first, so success is measurable rather than a matter of opinion.
Baselined
We record where things stand before, or there is nothing to compare with after.
Whatever the outcome needs
Sometimes AI, sometimes automation, sometimes fixing the process. The outcome decides.
Measured against the goal
Reported against what you set out to change, not against activity.
How a Project Runs
From the first call to handover. You always know which stage you are in and what comes next.
Outcome definition
What has to change, and how you would know it had.
Baseline
Where things stand today, in numbers.
Solution design
What to build, which may be less than you expected.
Build and integrate
Delivered into the systems you already run.
Measure
Compared against the baseline rather than against a promise.
Iterate
Improved where the numbers say it is worth improving.
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.