AI & AUTOMATION
AI that works for Africa
Custom agents, RAG applications, fraud-detection models, and AI governance — built on African data and regulatory reality, not imported from markets where the financial and language context is fundamentally different.
WHAT WE DELIVER
Our AI & automation services
Practical AI grounded in your data and your regulatory reality — not hype.
Custom AI & ML models
Models trained on your data for prediction, classification and scoring.
Generative AI & LLM solutions
Assistants, copilots and retrieval systems grounded in your own knowledge.
Process automation
Automate repetitive workflows across your business systems.
Data engineering & pipelines
The clean, reliable data foundations that AI depends on.
MLOps
Deploy, monitor and retrain models in production, reliably.
AI governance & guardrails
Safe, compliant AI with controls on inputs, outputs and data.
Document & language AI
Extraction, summarisation and NLP tuned for African languages and contexts.
Fraud & anomaly detection
Real-time detection models for fintech and financial workflows.
WHAT'S INCLUDED
From strategy through to production
We own the full model lifecycle and the business outcome — a readiness assessment and roadmap, then the applications, models, and automation that deliver it, then the MLOps that keeps it reliable in production.
Responsible AI is not a phase at the end. Every model is tested for bias before it ships, documented with a model card, and aligned to the Central Bank of Kenya guidance and the Data Protection Act 2019.
- AI strategy & readiness — maturity assessment, use-case prioritisation, and a 90-day roadmap
- Custom LLM & RAG applications — private document intelligence and domain-specific fine-tuning
- AI agents & workflow automation — multi-step autonomous agents for document and back-office work
- Fraud detection & AML models — transaction scoring and anomaly detection on East African data
- MLOps & governance — model registry, drift monitoring, explainability, and bias audits
90 days
From a readiness session to a buildable roadmap — three high-value use cases scoped and prioritised
HOW IT WORKS
From readiness session to a governed model
A clear, four-step engagement — you know what happens at each stage and what you get out of it.
STEP 01
Assess
We run a readiness session across your data, systems, and goals — then identify the highest-value use cases and give you an honest view of what is buildable in 90 days.
STEP 02
Build
We build the application, agent, or model against your real data — RAG over your documents, a fraud model on your transaction history, or automation for a specific back-office workflow.
STEP 03
Govern
Before anything reaches production it is tested for bias across gender, ethnicity, and geography, documented with a model card, and aligned to CBK guidance and the Data Protection Act.
STEP 04
Operate
We wire in MLOps — a model registry, drift monitoring, explainability reporting, and CI/CD — so the model keeps performing as the data around it changes.
RELATED PRACTICES
Where teams go next
START HERE
Ready to put AI to work?
Start with a readiness session — we assess your data, identify three high-value use cases, and give you an honest view of what is buildable in 90 days. No obligation.