AI and Data
From raw data and manual work to intelligent, measurable business systems.
Storm Interactive helps organisations create trustworthy data foundations, build analytics products, and introduce AI where it can reduce cycle time, improve decisions, and make existing software more capable. The work covers the full stack — from infrastructure and pipelines to agents, models, and the training needed to sustain it.
AI Agents & Intelligent Automation
Conversational AI & Chatbots
AI-powered chat interfaces for customer support, internal helpdesks, and product experiences — built on large language models and fine-tuned for your domain.
Autonomous Task Agents
Agents that execute multi-step workflows without human intervention: research, data collection, classification, routing, and follow-up across connected systems.
AI-Powered Process Automation
Combining RPA with AI to handle document processing, approval routing, reconciliation, and exception handling — reducing manual cycle time significantly.
Internal Copilots & Knowledge Assistants
AI tools embedded into business operations — answering questions from internal documentation, surfacing policies, summarising reports, and accelerating decision-making.
Customer Support Automation
Intelligent triage, response generation, and escalation flows for support teams — reducing response times while maintaining quality and compliance.
Workflow & Approval Automation
AI-enhanced approval chains, compliance checks, and task orchestration across enterprise systems including CRM, ERP, and communication platforms.
Data Engineering & Infrastructure
Data Pipeline Design & Build
End-to-end pipeline architecture and implementation for batch and streaming data — from ingestion through transformation to serving layers.
ETL/ELT & Data Transformation
Structured transformation workflows using modern tooling, with clear lineage, schema management, and reusable transformation logic.
Data Lakehouse & Data Mesh
Architecture for scalable, governed data storage — combining the flexibility of lakes with the structure of warehouses, and domain-oriented ownership.
Data Quality & Observability
Automated quality checks, anomaly detection on data streams, freshness monitoring, and alerts — so you catch data issues before they affect decisions.
Vector Databases & Semantic Search
Infrastructure for AI-ready data storage: embedding generation, vector indexing, and retrieval pipelines for RAG applications and semantic search products.
Orchestration & DataOps
Workflow orchestration using modern schedulers, dependency management, retry logic, and operational dashboards for data platform reliability.
Analytics, BI & Forecasting
Executive BI Dashboards
Business intelligence dashboards designed for leadership — KPIs, revenue metrics, subscriber trends, and operational performance in one clear view.
Self-Service Analytics
Analytics environments where business teams can explore data, build their own reports, and answer questions without depending on engineering.
Predictive Analytics & ML Models
Machine learning models for churn prediction, demand forecasting, credit scoring, lifetime value estimation, and revenue optimisation.
Anomaly Detection & Fraud Prevention
Statistical and ML-based detection of outliers, unusual transaction patterns, and fraud signals — with configurable alerts and investigation workflows.
Cohort & Funnel Analysis
Deep behavioural analytics on user journeys — acquisition cohorts, activation rates, retention curves, and conversion funnels by segment.
Real-Time Analytics
Streaming analytics on live data for operations, monitoring, and customer-facing products — with sub-second latency where it matters.
LLM Integration & Generative AI
RAG Systems
Retrieval-Augmented Generation pipelines that ground AI responses in your own documents, knowledge bases, and structured data — reducing hallucinations and increasing accuracy.
LLM Integration into Business Software
Embedding large language models into existing CRM, ERP, portals, and internal tools — adding summarisation, generation, classification, and Q&A capabilities.
Document Intelligence & OCR+AI
Automated extraction, classification, and processing of unstructured documents — contracts, invoices, forms, reports — using vision models and NLP.
NLP Pipelines
Natural language processing for classification, entity recognition, sentiment analysis, topic modelling, and text summarisation at scale.
Fine-Tuning & Prompt Engineering
Custom model adaptation and systematic prompt design to align AI outputs with your domain, tone, and compliance requirements.
Multimodal AI
Systems that combine text, image, and structured data inputs — enabling richer AI applications in content moderation, document processing, and product intelligence.
AI Enablement & Governance
AI Readiness Assessments
Structured evaluation of your data maturity, team capabilities, infrastructure, and use case landscape — with a prioritised roadmap for AI adoption.
Responsible AI & Governance
Frameworks for bias evaluation, model explainability, data privacy compliance, and AI governance — so deployments meet regulatory and ethical standards.
MLOps & AI Infrastructure
Model deployment, versioning, monitoring, retraining pipelines, and infrastructure management — keeping AI systems reliable and performant in production.
AI Strategy & Roadmap
Business-aligned AI strategy covering use case prioritisation, build vs buy decisions, vendor selection, and phased implementation planning.
Team Training & Upskilling
Training programmes for development teams, product managers, analysts, and business units — building internal capability for AI-first working.
API & System Integrations
Connecting AI systems to telecom operator APIs, payment processors, content systems, CRMs, ERPs, and cloud platforms through robust integration layers.
How Storm delivers this
AI and data engagements start with a discovery phase to understand your data landscape, existing systems, and the outcomes you need. Architecture is designed before any pipeline or model is built. Delivery is incremental — with working systems handed over at each stage, not at the end. Storm Interactive stays involved through operation, monitoring, and iteration.
See the delivery methodologyPresence
Operating across four African regions.
East Africa
HQ- Kenya
- Uganda
- Tanzania
- Rwanda
- Ethiopia
West Africa
- Nigeria
- Ghana
- Côte d'Ivoire
- Senegal
- Sierra Leone
Central Africa
- DR Congo
- Burundi
- Cameroon
- Congo-Brazzaville
Southern Africa
- Zimbabwe
- Zambia
- Malawi
- Mozambique
- South Africa
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Build with Storm Interactive
Launch smarter software, stronger data systems, and more useful AI.
Bring Storm Interactive into projects that need business context, engineering discipline, data fluency, and dependable integration work.