AI Customer Support Agent
E-commerce businesses, SaaS companies, service businesses, hospitality, education and organisations with high volumes of customer enquiries.
AI ENGINEER · SOFTWARE ENGINEER
I design and build AI agents, intelligent automation, AI-powered products, knowledge systems and scalable software for startups, businesses and organisations. Based in Lagos, Nigeria. Working globally.
AI Engineering · AI Automation · AI Product Development · Software Engineering
creatives@erinhq.comStartups, enterprise teams, government agencies, and non-profits, usually building the systems they run on day to day.
10 organizations and counting
Most businesses do not need another AI demo. They need systems that fit into the way their teams already work. I design and build practical AI solutions for customer experience, sales, operations, HR, finance, research and other business workflows.
E-commerce businesses, SaaS companies, service businesses, hospitality, education and organisations with high volumes of customer enquiries.
B2B companies, agencies, SaaS businesses, real estate companies, professional services and businesses receiving inbound enquiries.
Companies with internal documents, policies, SOPs, product information, technical documentation or large knowledge bases.
Growing companies, recruitment agencies and HR teams handling large numbers of applicants.
Consulting teams, strategy teams, founders, investment teams, research organisations and businesses that regularly gather and synthesise information.
Businesses, finance teams, legal teams, procurement teams, insurers and organisations that process large volumes of documents.
Every AI system starts with the workflow. I first understand the problem, map how your team currently works, identify where AI can create leverage, then design and build a system around your existing processes, tools and data.
Understand — Identify the business problem, workflow, users, constraints and desired outcome.
Design — Define the AI workflow, architecture, integrations, human approval points and success criteria.
Build — Develop the AI system, product interface, integrations and supporting infrastructure.
Deploy & Improve — Launch, monitor, evaluate and continuously improve the system based on real usage.
AI is most useful when it removes friction from a real workflow.
Automate repetitive questions and support requests.
Qualify leads and support sales teams.
Reduce manual work across internal processes.
Support recruitment and employee knowledge.
Automate document processing and extraction.
Support contract review and legal research.
Turn information into searchable intelligence.
AI products need more than a model. They need good software architecture, data flows, APIs, security, infrastructure, evaluation, observability and a clear way for humans and AI to work together.
Tool-using agents, task execution and agent workflows.
Grounded answers over company documents and structured knowledge.
AI-powered workflows that connect models to business processes and existing tools.
From prototype to production-ready AI products.
Specialised agents working together on complex tasks.
Designing reliable, scalable AI systems and their surrounding infrastructure.
My background in software engineering shapes how I build AI systems, so AI products can be treated as real software products rather than isolated experiments.
Explore selected AI and software projects, from internal knowledge systems and multi-agent research platforms to full-stack products and production software.
An internal AI assistant that lets employees ask questions in plain English and get precise, cited answers drawn only from the organisation's own documents.
Turns raw discovery-call notes into a complete, branded scope-of-work document in under 10 minutes instead of the two to three hours a manual proposal typically takes.
A concept for a research system where specialised agents collect, analyse and synthesise information into structured, human-reviewed decision support.

A unified AI platform for real-time fraud detection, AML/CTF monitoring, and automated compliance workflows.

A web app that generates fully formatted legal contracts in real time based on user input.

The marketing site for Refactrd, an AI transformation studio, built to move visitors from problem recognition to a clear next step.
I combine software engineering, cloud infrastructure and AI engineering to build systems that can actually fit into a real organisation.

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Read moreTell me what you are trying to improve, automate or build. If there is a practical AI or software solution, we can map out what it could look like.