Custom artificial intelligence, machine learning models, business intelligence dashboards, and data engineering built for Kenya's most ambitious organisations. Turn your data into a competitive advantage.
From AI chatbots that handle customer service 24/7, to predictive models that forecast demand and credit risk — Delights Web Services builds practical, revenue-generating AI solutions tailored to the Kenyan and East African market. No hype, just results.
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AI Chatbot Development Kenya
Custom LLM-powered chatbots for customer service, HR onboarding, or internal operations. Integrated with WhatsApp, your website, and M-Pesa for Kenyan customers.
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Business Intelligence Dashboards
Power BI and Tableau dashboards connected to your existing data — ERP, CRM, M-Pesa transactions. Real-time insights for Nairobi boardrooms and field managers.
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Predictive Analytics & Machine Learning
Demand forecasting, customer churn prediction, credit scoring, and fraud detection models built on your Kenyan business data. GDPR and KDPA compliant.
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Robotic Process Automation (RPA)
Automate repetitive workflows — invoice processing, data entry, report generation, ERP updates. Kenyan businesses typically save 20+ staff hours per week.
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Data Warehouse & ETL Pipelines
Cloud data warehouses on AWS Redshift, Google BigQuery, or Azure Synapse. ETL pipelines that consolidate data from M-Pesa, Sage, SAP, and other Kenyan systems.
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AI Strategy & Roadmap
Not sure where to start with AI in Kenya? Our 5–10 day AI readiness assessment identifies the highest-ROI use cases specific to your industry and business model.
Our Approach
How We Build AI Solutions in Kenya
1
Data Audit & AI Readiness Assessment
We evaluate your existing data quality, systems, and business goals. Many Kenyan businesses have more usable data than they realise. We identify it and quantify the opportunity.
2
Use Case Identification & Prioritisation
We rank AI opportunities by ROI, feasibility, and time-to-value for your specific context — whether you're a bank in Nairobi, an agribusiness in the Rift Valley, or an NGO serving East Africa.
3
Model Development & Testing
Our data scientists build, train, and validate models against your real Kenyan business data. Every model is explainable, auditable, and KDPA-compliant.
4
Deployment, Monitoring & Retraining
We deploy into your existing workflows and monitor for data drift. AI models improve over time — we offer monthly retainers from KES 35,000 for ongoing maintenance.
💰 AI & Data Services Pricing — Kenya 2026
Service
Unit
Price (KES)
AI Strategy & Roadmap5–10 day engagement
Project
60,000 – 120,000
AI Chatbot Development4–8 week build
Project
180,000 – 450,000
Predictive Analytics Model6–12 week project
Project
250,000 – 700,000
RPA – Process AutomationPer automated workflow
Per workflow
80,000 – 200,000
BI Dashboard (Power BI/Tableau)Connected to your data sources
Per dashboard
50,000 – 150,000
Data Warehouse SetupCloud DWH + ETL pipelines
Project
200,000 – 800,000
Monthly Analytics RetainerReporting, insights, model maintenance
Monthly
35,000 – 120,000
All prices exclude 16% VAT. Contact us for a tailored quote.
★★★★★
"The DWS data team built us a demand forecasting model that reduced our warehouse overstock by 34%. They understood our Kenyan supply chain challenges from day one — genuinely impressive AI work."
SK
Samuel Kariuki
Operations Director, FMCG Company — Nairobi
FAQs
AI Solutions Kenya — Common Questions
AI is absolutely accessible to Kenyan SMEs. RPA automation starts from KES 80,000, and AI chatbots from KES 180,000. The ROI for SMEs is often faster because they have less technical debt and can deploy quickly.
Yes. All models are trained on your actual business data. We understand Kenya-specific patterns — M-Pesa transaction behaviour, mobile-first user journeys, seasonal agricultural cycles — that generic offshore AI vendors miss.
An AI chatbot takes 4–8 weeks. A predictive analytics model takes 6–12 weeks. A full data warehouse and BI dashboard suite can take 8–16 weeks depending on data complexity.
Yes. All data engineering and AI solutions we build are designed to comply with Kenya's Data Protection Act (KDPA 2019). We implement data minimisation, access controls, and audit trails as standard.