AI Transformation
Change how your organisation runs.
- AI Strategy
- AI Readiness Assessment
- Process Automation
- AI Agents
- Enterprise AI Adoption
- Executive Training
- Change Management
Building Africa's AI Future.
Mizizi AI helps governments, enterprises and startups become AI-native through transformation and intelligent products.
- 7-stage
- Transformation journey
- 2 practices
- AI transformation and product development
- Africa-first
- Local context, data and language
Built using enterprise-grade AI infrastructure
- Microsoft
- Google Cloud
- AWS
- Lovable
- Anthropic
- NVIDIA
AI transformation journey
A seven-stage path from first workshop to AI-native operations.
- 01
Discover
Map processes, data estate, pain points and AI opportunity.
- 02
Assess
Score AI readiness across data, talent, tooling and adoption.
- 03
Design
Target operating model, architecture and 12-month roadmap.
- 04
Build
Ship assistants, agents and automation into real workflows.
- 05
Deploy
Integrate, secure and roll out with change management.
- 06
Support
Monitor usage, refine agents and keep systems reliable.
- 07
Scale
Expand across functions, measure value, retrain and optimise.
Core practices
Two practices that take an organisation from curiosity to capability.
AI Product Development
Intelligent products that hold up in production.
- Reid
- Nyumbani
- Kuza
- Custom Enterprise AI
- Internal AI Assistants
- Knowledge Systems
- RAG Platforms
- Agentic Workflows
Products
Applied AI products built for African conditions.
Legal intelligence
Reid
An AI-native legal operating system for African advocates. It is live in Kenya today, drafts from real precedent and is grounded in Kenyan law, with more African jurisdictions on the roadmap.
Industry served: Legal and professional services, Kenya first
- Matter management and drafting
- AI legal research with citations
- Firm knowledge vault
- Legal exchange and marketplace
Industry solutions
The same discipline, tuned to your sector's data and regulation.
Legal
- Case law research with citations
- Contract review at scale
- Matter intake triage
AI maturity assessment
Five questions. An honest read on where you actually stand.
A two-minute self-assessment across data, adoption, tooling, people and value measurement, the same axes we score in a full readiness engagement.
Question 1 of 50%
How accessible and structured is your operational data?
Why Mizizi AI
Roots first. Capability that stays after we leave the room.
- 0
- Stage transformation method
- 0
- Products live: Reid, Nyumbani & Kuza
- 0
- Firms on board with Reid
- 0 wks
- First production workflow
African-first approach
Built for African data, languages, connectivity and regulation.
Applied AI expertise
Systems in production, not slideware or proofs of concept.
Secure by default
Access control, testing and clear logs from the first sprint.
Legal + technical
Lawyers and engineers in one team. Rare, and it matters.
Enterprise implementation
Integrated with your systems, security and change process.
Hands-on delivery
We build and run our own products, so our advice comes from experience.
Where we are today
Real numbers, not case studies yet.
Reid's first cohort
01 · Challenge
Advocates in Kenya lose hours to precedent research and drafting spread across scattered archives.
02 · Solution
Reid puts matter management, AI legal research with citations and a firm knowledge vault in one place, grounded in Kenyan law.
03 · Impact
Early access is live and growing. These are the actual usage numbers from the first cohort, not projections.
- 102
- firms on board
- 39
- active matters managed
- 227
- AI research & drafting conversations
- 1
- founding member so far
We have no formal case studies yet. We would rather show you real numbers than a quote we made up.
Africa presence
Rooted in Nairobi. Building across the continent.
Live
Kenya
Mizizi AI headquarters. Reid, Nyumbani, Kuza and consulting delivery are live today.
The next step
Ready to Build an AI-Native Organization?
Start with a discovery workshop. Leave with a costed roadmap, an adoption plan and a first workflow worth building.