Artificial Intelligence Expertise
Adopting AI is not about catching up. It's about building a lead.
A young, hyper-connected population, Mobile Money penetration with no equivalent elsewhere, and fast-growing markets: the African terrain is unique for AI. AKILI Labs designs, deploys, and maintains practical solutions, from business chatbots to prediction engines, tailored to your sector, your data, and your languages.
11+
years of experience
30+
data & AI projects delivered
6
UEMOA/ECOWAS countries
-28%
in unpaid loans for a microfinance client (ML scoring)
■ Why AI now in Africa?
The opportunity is here. The window is open.
Africa is the next great frontier for Artificial Intelligence. With more than 1.4 billion people, a young, hyper-connected population, Mobile Money penetration unmatched anywhere in the world, and fast-growing markets, the continent offers unique ground for AI.
8 UEMOA/ECOWAS countries
The question is no longer "should we go there?" It's "which use case should we start with?"
And that's precisely the purpose of our scoping phase.
What AI concretely changes for an African organization
Productivity
Repetitive tasks (data entry, sorting, reporting) absorbed by the machine; your teams freed up for customer relationships and decision-making.
Precision
Decisions grounded in your actual data — transactions, Mobile Money, field history — rather than intuition alone.
Scalability
Serve 100 or 100,000 customers with the same infrastructure: the lever for fast-growing markets.
Inclusion
Solutions that work in French, Dioula, Hausa, Twi, Wolof — not just English.
At AKILI Labs, we don't sell AI to look modern. We deploy solutions that solve real problems and produce measurable results.
■ Our AI Areas of Expertise
Six domains, one promise: measurable results
Generative AI & Large Language Models (LLM)
- ▸Chatbots and business assistants — a conversational agent trained on your internal documentation that answers your customers and teams around the clock
- ▸RAG (Retrieval-Augmented Generation) — systems that query your internal databases and produce precise, contextualized answers
- ▸Automated drafting assistants — generating reports, meeting minutes, product sheets, sales communications
- ▸Multilingual support — conversing in French, English, and local African languages
Technologies
OpenAI API (GPT-4o)Meta LLaMA 3Mistral AILangChainLlamaIndexOllamaHuggingFace
Machine Learning & Predictive Models
- ▸Demand forecasting — anticipating sales by product, region, and season
- ▸Credit scoring and fraud detection — assessing customer risk in real time from transactional data, Mobile Money included (for a microfinance client: -28% in unpaid loans)
- ▸Predictive maintenance — detecting machine failures before they happen
- ▸Customer segmentation — automatic clustering for ultra-targeted marketing campaigns
- ▸Churn prediction — identifying customers about to leave
Technologies
Pythonscikit-learnXGBoostLightGBMTensorFlowPyTorchMLflow
Computer Vision
- ▸Automated quality control — defect detection on a food-processing, textile, or industrial production line
- ▸Document recognition — automatic processing of ID documents, Mobile Money receipts, delivery notes
- ▸Precision agriculture — drone imagery analysis to detect crop diseases and estimate yields
- ▸Smart surveillance — video stream analysis, intrusion detection, people counting
Technologies
OpenCVYOLO v8/v9TensorFlow LiteRoboflow
Natural Language Processing (NLP) & African Languages
- ▸Sentiment analysis — monitoring your brand's reputation on social media in real time
- ▸Automatic classification — sorting thousands of support tickets, emails, forms
- ▸Information extraction — automatically reading contracts, tenders, reports
- ▸Speech-to-text — transcription of meetings, customer calls, WhatsApp voice messages
Our specialty: fine-tuning NLP models on African data — mixed languages (French + Dioula, French + Wolof) — for results that hold up in the field.
Technologies
HuggingFace TransformersspaCyWhisperMasakhane NLPAfroNLP
Data Engineering & MLOps
- ▸Data audit and mapping — identifying what you have, what's missing, what's reliable
- ▸Data pipelines (ETL/ELT) — collecting, cleaning, and transforming data from all your sources (ERP, CRM, Mobile Money, IoT)
- ▸Data Warehouse & Data Lake — modern architecture for fast, reliable analytics
- ▸MLOps — continuous model deployment, drift monitoring, automatic retraining
Technologies
Apache SparkdbtAirbyteApache KafkaMLflowEvidently AIDockerKubernetes
Augmented Business Intelligence
- ▸Smart dashboards — automatic alerts on anomalies (falling sales, critical stock, payment delays)
- ▸Automated reports — generation and delivery on a defined schedule
- ▸Root cause analysis — AI identifies the factors behind a change in performance
- ▸Self-service analytics — your teams ask questions in natural language and get real-time charts
Technologies
Power BIMetabaseApache SupersetdbtOpenAI API (text-to-SQL)
■ Use cases by sector
AI adapted to your industry
Trade & Distribution
Priority use cases
Demand forecasting, product recommendation, chatbot
Expected benefit
Fewer stockouts, higher average basket size
Finance & Microfinance
Priority use cases
Credit scoring, fraud detection, portfolio analysis
Expected benefit
Fewer unpaid loans, faster credit approval
Food & Agriculture
Priority use cases
Visual quality control, harvest forecasting, traceability
Expected benefit
Reduced losses, export compliance
Healthcare & Pharmacy
Priority use cases
Diagnostic support, predictive medical stock, triage
Expected benefit
Better patient care, cost optimization
Construction & Real Estate
Priority use cases
Drone-based site monitoring, cost estimation, maintenance
Expected benefit
Fewer budget and schedule overruns
Telecoms & Utilities
Priority use cases
Churn prediction, network maintenance, support chatbot
Expected benefit
Customer retention, fewer outages
HR & Recruitment
Priority use cases
Resume screening, turnover prediction, engagement analysis
Expected benefit
Shorter hiring time, talent retention
Logistics & Transport
Priority use cases
Route optimization, lead-time forecasting, anomaly detection
Expected benefit
Lower transport costs, on-time performance
NGOs & Public Sector
Priority use cases
Field data analysis, beneficiary targeting
Expected benefit
Program effectiveness, transparency
■ Our AI Methodology
A proven methodology, from scoping to monitoring
1
Discovery & Scoping
2–4 weeks
Discovery workshops, data audit, identification of high-ROI use cases.
▸ Deliverable: Scoping report with prioritized recommendations
Discovery & Scoping
2–4 weeks
Discovery workshops, data audit, identification of high-ROI use cases.
▸ Deliverable: Scoping report with prioritized recommendations
1
2
Proof of Concept
4–8 weeks
Functional prototype on a limited scope, model training on your real data, performance evaluation.
▸ Deliverable: Validated POC with documented metrics
2
Proof of Concept
4–8 weeks
Functional prototype on a limited scope, model training on your real data, performance evaluation.
▸ Deliverable: Validated POC with documented metrics
3
Industrialization
6–16 weeks
Interface or API development, complete data pipeline, load and security testing, integration with your existing systems.
▸ Deliverable: Deployed and documented solution
Industrialization
6–16 weeks
Interface or API development, complete data pipeline, load and security testing, integration with your existing systems.
▸ Deliverable: Deployed and documented solution
3
4
Deployment & Training
2–4 weeks
Production rollout, training for users and administrators, monitoring setup.
▸ Deliverable: Solution in production + trained teams
4
Deployment & Training
2–4 weeks
Production rollout, training for users and administrators, monitoring setup.
▸ Deliverable: Solution in production + trained teams
5
Operations & Continuous Improvement
ongoing
Performance monitoring, periodic retraining, functional enhancements, monthly reporting.
▸ Deliverable: Evolving roadmap
Operations & Continuous Improvement
ongoing
Performance monitoring, periodic retraining, functional enhancements, monthly reporting.
▸ Deliverable: Evolving roadmap
5
■ Responsible AI & Sovereignty
AI under your control: data, models, decisions
Adopting AI shifts responsibilities that no decision-maker can delegate: where does your data live? Does it train a third party's models? Who has the final say when the algorithm recommends declining a loan or rejecting a candidate? Serious AI makes these questions traceable — and their answers contractual.
Data Sovereignty
Your data never trains a third-party model. On-premise, private cloud, or hybrid architectures: your sensitive data never leaves your zone of control.
Regulatory Compliance
Personal data protection aligned with local and sub-regional regulatory frameworks; financial regulators' requirements factored in for banking use cases (scoring, credit approval).
Human Oversight
AI proposes, humans decide: validation loops on sensitive decisions (credit, HR, healthcare), recommendations that are traceable and explainable to the business.
Bias & Robustness
Bias testing and business validation before any production release; drift monitoring and periodic retraining once in operation.
■ What sets us apart
Why AKILI Labs for your AI project
Data Sovereignty
Your data stays with you and never trains a third-party model.
African Roots, Global Expertise
Our experts understand realities on the ground: data quality, variable connectivity, local languages, ECOWAS/OHADA regulatory constraints. We adapt — we don't import.
Business First
We start with your business problem, not the technology. Every project begins with one question: what concrete impact do you expect in 6 months?
Full-Chain Coverage
From raw data collection to decision dashboards, we cover the entire chain without dependency on a single tool or cloud provider.
Dual ERP + AI Expertise
Rare in the African market: we connect your AI solution to your Odoo, your CRM, or your banking system, frictionlessly.
The AI practice by the numbers
11+
years of experience in digital transformation
30+
data & AI projects delivered
9
sectors covered
6
countries served (UEMOA/ECOWAS)
4
African languages in our NLP models (Dioula, Hausa, Twi, Wolof)
■ Technology Stack
The technologies we master
Languages & Frameworks
Python
R
SQL
FastAPI
Streamlit
ML & Deep Learning
scikit-learn
XGBoost
LightGBM
TensorFlow
PyTorch
Generative AI & LLM
OpenAI API
Meta LLaMA 3
Mistral AI
LangChain
LlamaIndex
HuggingFace
Ollama
Computer Vision
OpenCV
YOLO v8/v9
TensorFlow Lite
Roboflow
African NLP
HuggingFace
Whisper
Masakhane
AfroNLP
Data Engineering
Apache Spark
dbt
Airbyte
Apache Kafka
Airflow
MLOps
MLflow
Evidently AI
Docker
Kubernetes
Business Intelligence
Power BI
Metabase
Apache Superset
Looker Studio
Cloud
AWS
Google Cloud
Azure
OVH
On-premise Linux
■ Resources & Content
Deepen your understanding of AI
Coming soonGuide
AI in Practice for African Businesses — Where to Start?
20 pages, free download.
Coming soonCase Study
How a Microfinance Institution Cut Unpaid Loans by 28% with Machine Learning
Detailed case debrief.
Coming soonWebinar
Generative AI & Business: What Actually Works in 2026
Replay available on request.
Coming soonChecklist
10 Questions to Ask Before Launching an AI Project
Assess your data maturity.
■ FAQ
Frequently asked questions about AI
Your AI project starts with a conversation
What you get from an initial free conversation:
- ✓ An assessment of your data maturity and AI potential
- ✓ Identification of 2 to 3 high-impact use cases in your sector
- ✓ An indicative feasibility and budget estimate
- ✓ Answers to your technical, ethical, and strategic questions
No commitment. No pressure. Just expertise.