Capabilities

Systems thinking, translated into working technology.

I work across strategy, architecture, data and delivery. The tools matter, but their value comes from how they are combined to improve the way an organisation operates.

01

Enterprise systems

I design, implement and improve the operational backbone that connects finance, procurement, inventory, projects, customers, people and reporting.

ERP strategy and architecturePlatform selection, process fit, deployment models and integration decisions.
Implementation and upgradesConfiguration, migration, testing, cutover, support and continuous improvement.
Workflow and controlApprovals, permissions, auditability, segregation of duties and exception handling.
CRM and business platformsCustomer processes, workflow automation, collaboration and operational ownership.
Odoo logoOdoo Dynamics 365 logoDynamics 365 ERPNext logoERPNext SAP logoSAP Salesforce logoSalesforce Power Apps logoPower Apps Power Automate logoPower Automate SharePoint logoSharePoint Google Workspace logoGoogle Workspace Notion logoNotion
02

Data and decision intelligence

I turn operational data into a reliable management layer. That includes definitions, models, transformations, reconciliation, forecasting and controls that make reporting trustworthy.

Business intelligenceExecutive reporting, operational dashboards, KPI design and self-service analytics.
Forecasting and diagnosticsDemand planning, risk models, anomaly detection and decision-support analysis.
Data qualitySource validation, reconciliations, master data, ownership and exception management.
Analytics engineeringReusable models, measures, semantic layers and governed reporting foundations.
Power BI logoPower BI Tableau logoTableau Looker Studio logoLooker Studio BigQuery logoBigQuery SQL Server logoSQL Server PostgreSQL logoPostgreSQL Python logoPython R logoR Excel logoExcel Google Sheets logoGoogle Sheets TensorFlow logoTensorFlow Keras logoKeras
03

Data engineering and integration

I connect source systems, applications and reporting layers so information can move reliably across the organisation through maintainable pipelines and clear interfaces.

Warehouses and pipelinesETL and ELT design, staging, transformations, scheduling and monitoring.
Application integrationAPIs, webhooks, file exchange and synchronisation between operational systems.
Cloud data foundationsSecure databases, orchestration, environments and scalable reporting infrastructure.
Data architectureSource mapping, canonical models, lineage and boundaries between systems.
Azure logoAzure Azure DevOps logoAzure DevOps BigQuery logoBigQuery PostgreSQL logoPostgreSQL Supabase logoSupabase Airtable logoAirtable Docker logoDocker Hadoop logoHadoop Spark logoSpark Hive logoHive OpenAPI logoAPIs GitHub logoGitHub
04

Digital products and application delivery

I build custom products when standard software cannot adequately solve the operating problem, from product definition through web, mobile and platform delivery.

Product definitionProblem selection, users, workflows, success criteria and product roadmap.
Web and mobile deliveryCustomer, staff and administrative experiences across responsive platforms.
Architecture and implementationFront ends, APIs, databases, authentication, cloud deployment and release workflows.
Product operationsAnalytics, permissions, support, iteration and responsible deployment.
React logoReact Next.js logoNext.js TypeScript logoTypeScript Node.js logoNode.js React Native logoReact Native Flutter logoFlutter Android logoAndroid iOS logoiOS Firebase logoFirebase Vercel logoVercel Prisma logoPrisma NestJS logoNestJS
05

AI systems and intelligent workflows

I apply AI where it can improve a real workflow, decision or user experience - not as a disconnected demonstration.

LLM-enabled workflowsAssistants, document intelligence, extraction, classification and knowledge interfaces.
AI product designUse-case definition, model selection, evaluation, guardrails and user experience.
Speech and multimodal systemsText-to-speech, voice interfaces, reading experiences and media understanding.
Responsible deploymentCost, privacy, quality, observability and human oversight.
OpenAI logoOpenAI Gemini logoGemini Google AI Studio logoAI Studio Claude logoClaude Grok logoGrok Hugging Face logoHugging Face TensorFlow logoTensorFlow PyTorch logoPyTorch Azure AI logoAzure AI Google Cloud logoGoogle Cloud

Cross-cutting capabilities

The disciplines that make technology endure.

A platform is only valuable when the operating model around it is clear. These capabilities connect technical delivery to governance, adoption and measurable organisational change.

01

Digital transformation

Technology roadmaps, process redesign, operating-model improvement and coordinated delivery across business functions.

02

Information governance

Access architecture, data ownership, auditability, collaboration structures, security controls and policy implementation.

03

Project controls and costing

Integrated budgeting, procurement, payments, inventory, schedules, milestones, risks and performance reporting.

04

Technology leadership

Requirements discovery, architecture decisions, vendor coordination, prioritisation and delivery governance.

05

Training and change

User testing, role-based learning, documentation, adoption support and capability building for technical and non-technical teams.

06

Security and resilience

Identity, permissions, email security, operational controls, continuity and responsible system administration.

Industry experience

Different industries. Different constraints. One systems mindset.

Industry experience matters because the same technology behaves differently under different operating realities. My work has required an understanding of capital projects, distribution, public accountability, commercial risk and multi-country coordination.

01 / Energy and infrastructure

Renewable energy and oil & gas

Multi-country operations, project delivery, procurement, inventory, financial control, reporting and field-facing processes.

PowerGenNLNGProject controls
02 / Technology ecosystem

Distribution and enterprise technology

Demand planning, aged inventory, credit exposure, warehousing, logistics, sales and ERP consulting across a fast-moving technology business.

TD AfricaZinoxTask SystemsKonga
03 / Public institutions

Public-sector reporting

Nationwide reporting, enterprise processes, financial and operational data, distributed users and the need for consistency at scale.

FIRS36 statesEnterprise reporting
04 / Growing businesses

Commerce, services and platforms

E-commerce, marketplaces, property technology, mobility and digital services designed for Nigerian and West African operating environments.

Hommes EstatesCarl-DibProduct Lab

See these capabilities in context.

Explore the projects, constraints and measurable outcomes behind the work.