Credit scoring & risk models
Machine-learning scorecards that combine bureau, transaction and mobile money behaviour into explainable credit decisions in milliseconds.
- Thin-file lending
- Instant digital loans
- Portfolio risk monitoring
AI & Machine Learning
We don’t just talk about AI.We ship AI that works in production.
From credit models that decide in milliseconds to assistants grounded in your own policies, our AI and machine-learning work runs inside real banks, SACCOs and public systems — secure, explainable and measurable.
Capabilities
Where we apply AI and machine learning.
AI assistants & agents
Retrieval-augmented assistants that answer customers and staff from your own policies and products — on WhatsApp, the web and inside back-office systems.
- Bank customer service
- SACCO member support
- Staff knowledge search
Decision intelligence
Dashboards and models that turn operational data into forecasts, early warnings and recommended actions for management.
- Bank intelligence & decision support
- Arrears early warning
- Liquidity forecasting
Computer vision
Number-plate recognition and video analytics that identify vehicles and events automatically and feed them into business workflows.
- ANPR toll enforcement
- Site surveillance analytics
Document & knowledge AI
Extract, classify and search the documents institutions run on — applications, IDs, policies and reports.
- Loan document checks
- Policy knowledge bases
- Report summarisation
Private LLM deployments
Large language models hosted on your own servers or private cloud, with access control and audit, for organisations that cannot send data outside.
- On-premise corporate assistants
- Secure internal copilots
How we deliver
From idea to a model in production.
-
Frame the decision
We start from the business outcome — fewer defaults, faster answers, less leakage — and the metric that proves it.
-
Prepare the data
Clean, governed data pipelines from core systems, mobile money and documents.
-
Model & evaluate
Scorecards, ML models or retrieval-augmented LLMs, tested against real cases before launch.
-
Deploy inside workflows
Models run where decisions happen: in the loan screen, the chat window, the toll lane.
-
Monitor & improve
Drift, accuracy and business impact are tracked continuously, with humans in the loop.
Principles
Responsible by design.
Grounded
Assistants answer from your approved knowledge, with sources — not from guesswork.
Explainable
Every score and decision comes with the reasons behind it, for customers and regulators.
Private by design
Models can run on your own infrastructure so sensitive data never leaves it.
Measured
We agree the business metric first and monitor models for drift once live.
Put AI to work on a real decision.
Tell us about the decision you want to improve. We’ll tell you honestly whether AI will help, what data it needs and how we would measure success.