Nairobi roots. Global delivery. Consultancy you can operate with.

Turn complex data into decisions that move.

MCP Africa is an AI, data and automation consultancy for African organisations. We design systems that work in production — with clear ownership, measurable outcomes and no unnecessary lock-in.

Production-firstBuilt to operate, not just demo
Africa-awarePayments, regulation, real constraints
Open by designCapability stays with your team
Consultancy engagement model ACTIVE
01
DISCOVERDecision, data and constraints
Aligned
02
PROVEFocused prototype
03
DELIVERIncremental value
✦
OUR PRINCIPLE

Start with the business decision, not the technology. If AI is not the answer, we say so.

Built across
AI & MLData platformsAutomationDigital trustCloud & MLOps

What we solve

Three practices.
One accountable team.

Engagements are organised around business outcomes. Start where the pain is sharpest, then expand with the same team.

02OPERATIONS

Automation & Modernisation

Replace repetitive work and brittle legacy processes with monitored workflows that scale.

  • Process and workflow automation
  • Legacy modernisation and ETL
  • Document intelligence and reporting pipelines
  • API, RPA and systems integration
  • M-Pesa and payment orchestration
03TRUST & SCALE

Digital Trust & Platforms

Identity, risk and cloud foundations for services people — and regulators — can trust.

  • KYC, KYB and continuous identity (pKYC)
  • Know Your Agent (KYA) advisory
  • Deepfake and synthetic-ID defence
  • AML / sanctions screening workflows
  • Cloud architecture, MLOps and AI governance

Not sure where to start?

Find your best next step in 30 seconds.

Choose the challenge closest to yours. We’ll recommend a practical consultancy starting point.

Capability depth

What the practice
actually delivers.

Concrete consultancy capabilities behind the three practices — so stakeholders can see the craft, not only the category.

01 · INTELLIGENCE

LLM, RAG & forecasting

Domain fine-tuning, retrieval over your knowledge base, predictive models with SHAP explainability, and executive dashboards.

02 · AUTOMATION

Document & process ops

Inbox-to-record pipelines, OCR extraction, exception routing, scheduled reporting and RPA where APIs do not exist.

03 · TRUST

Identity & compliance

Onboarding KYC/KYB, continuous assurance, sanctions and AML screening, and agent accountability (KYA) as AI systems act for your business.

04 · PLATFORM

Cloud, MLOps & governance

Resilient architecture, model observability, drift alerts, documentation and knowledge transfer so your team can run what we build.

05 · AFRICA CONTEXT

Payments & local systems

M-Pesa STK/B2C patterns, registry-aware KYB, and designs that respect connectivity, language and regulatory realities.

06 · DATA FOUNDATION

Hygiene, ETL & labeling

Clean legacy data, quality gates, and active-learning labeling so models learn from truth — not noise.

Self-serve diagnostic

AI readiness score
in under two minutes.

Answer five questions. Get a scored view of where to invest first — and a recommended engagement type.

1. Data quality
2. Decision clarity
3. Process maturity
4. Risk & governance
5. Delivery capacity

How engagements start

Clear entry points.
No vague retainers.

Pick the lightest engagement that reduces uncertainty. Expand only when value is visible.

01 · START

Discovery call

30–45 minutes. We clarify the decision, constraints and whether MCP Africa is the right partner.

  • Problem framing
  • Fit assessment
  • Suggested next step
03 · BUILD

Prototype → production

Prove the highest-risk assumption, then deliver in weekly increments with monitoring and handover.

  • Focused PoC
  • Incremental delivery
  • Ops documentation
  • Optional MLOps retainer

How we work

Clarity before code.
Value at every step.

Every engagement reduces uncertainty early, creates visible progress and leaves your team stronger.

01
DISCOVER

Define the decision

Align stakeholders on the real problem, available data, constraints and success measures.

02
PROVE

Validate quickly

A focused prototype tests the highest-risk assumptions before you commit to a full build.

03
BUILD

Deliver in increments

Weekly progress, transparent priorities and working software your team can inspect early.

04
OPERATE

Measure and improve

Monitoring, documentation and knowledge transfer keep the solution useful after launch.

✦

A responsible starting point: If AI is not the best answer, we will tell you. The simplest effective solution wins.

Selected outcomes

Technology made useful.

Representative engagements. Targets are set in discovery; results depend on data quality and operating context.

FINANCIAL SERVICESAutomation

Invoice organizer

Automated PDF retrieval, validation and filing with rollback-safe operations for a high-volume finance team.

MEASURED IMPACT93% processing time reduction · zero file loss over 6 months
FINTECHOCR / AI

Invoice data extraction

OCR pipeline with entity extraction, validation and database upsert for scanned invoices at scale.

MEASURED IMPACT2,400 invoices/day · 94.3% OCR accuracy · <0.5% manual review
HEALTHCARERPA

Patient records migration

Extracted years of locked EHR desktop records into a structured cloud database — no API available.

MEASURED IMPACT18,000+ records in 4 days · 99.7% field accuracy
ANALYTICSETL

Weekly report automation

Multi-source Excel ingestion, transformation, charting and Slack delivery on a reliable schedule.

MEASURED IMPACT52 automated reports/year · 99.4% on-time delivery
HR / SaaSDocs

Employee onboarding packs

Excel → templated PDF → email distribution as a scheduled job for consistent, branded onboarding.

MEASURED IMPACT847 employees onboarded · 100% delivery · <3 min latency
E-COMMERCEData

Competitor price monitor

Resilient scraping with anti-bot handling and structured export for commercial intelligence.

MEASURED IMPACT250+ SKUs across 12 sites · 98.5% scrape success

Past performance is indicative, not a guarantee. We establish measurable targets during discovery.

Client voices

What partners say.

Feedback from organisations we have supported across operations, intelligence and trust work.

“MCP Africa transformed our data infrastructure in under 3 months. Automated reporting alone saved us 40 hours a week.”

Kevin MokoyaniMenengai Oil Refineries · Nakuru

“The fine-tuned Llama model outperformed our commercial solution at a fraction of the cost. Integration was seamless.”

Dalmas ChituyiMason Rhys International · Nairobi

“Their Active Learning pipeline cut labeling time in half and improved accuracy on edge cases. The team understood our domain instantly.”

KhalidHead of AI · Fintech · Nairobi

Why MCP Africa

A consultancy built close to the context.

Africa’s opportunities deserve technology shaped by local realities, not imported assumptions.

We are an Africa-focused technology consultancy bringing together AI, data, software and operational expertise. We work alongside client teams from first question to reliable operation — balancing ambition with pragmatic delivery.

Meet us on a discovery call ↗
01

Context is a capability

We account for infrastructure, regulation, language, payments and how work really happens.

02

Trust is engineered

Security, explainability, ownership and human oversight are design requirements — not afterthoughts.

03

Capability stays with you

Documentation and knowledge transfer are part of delivery, not optional extras.

FAQ

Straight answers.

Common questions from leadership and technical teams before an engagement begins.

What makes MCP Africa different from other AI consultancies?

We build for production, not slideware. Engagements typically move from discovery to a focused PoC to incremental delivery with monitoring and handover. We work with African payment, identity and operating realities as first-class constraints.

Can you fine-tune an LLM or build a RAG system for our domain?

Yes. We design data prep, fine-tuning or retrieval pipelines, evaluation, deployment and monitoring — with explainability and human oversight where decisions matter.

Do you support M-Pesa and African payment flows?

Yes. Payment orchestration, webhook handling and fraud-aware patterns are a regular part of automation and trust engagements where money moves.

What is an AI readiness audit?

A structured assessment of data quality, infrastructure, organisational readiness, governance and integration risk — ending in a scored report and a prioritised roadmap before you fund a build.

What does a typical engagement look like?

Discovery call → optional readiness audit or PoC → iterative build with weekly demos → deployment with documentation and knowledge transfer. Many builds reach production in 6–12 weeks depending on scope.

Start a conversation

What could work better in your organisation?

Tell us where you are stuck. We respond with useful questions and a realistic next step — usually within one business day.

EMAILsupport@mcp.africa CALL / WHATSAPP+44 7915 380822
OFFICEWaterMark Business Park, Karen
Nairobi, Kenya

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