Services

AI that works in production, not just in the demo

I design, build and ship LLM-powered systems end to end, from the first prototype to a hardened production rollout. Here's what I can help with.

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AI Agents & Automation

Agents that do real work across your tools, safely.

I design and build AI agents that take on multi-step work across your systems: reading and writing to your tools, calling APIs, and asking a human before anything risky. Built on LangGraph and the Model Context Protocol, with guardrails, audit trails and cost controls from day one.

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What you get

Workflow & agent design
Tool integrations via MCP
Guardrails & human-in-the-loop
Observability & cost control
Production deployment
Voice & chat channels

RAG Assistants & Chatbots

Answers grounded in your documents, with sources.

I build retrieval-augmented assistants that answer questions from your documents, wikis and knowledge bases: accurately, with citations, and with access controls that respect who is asking. Quality is measured with an evaluation suite, not guessed.

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What you get

Ingestion pipeline
Hybrid search & reranking
Assistant with citations
Access control
Evaluation suite
Delivery where people work

Ask-Your-Data Analytics

Let anyone ask questions of your data in plain English.

I build conversational analytics on top of your data warehouse. Business users ask a question, get the right number and a chart in seconds, and keep asking follow-ups, while your analysts get their time back. It runs read-only, inside your guardrails.

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What you get

Semantic context
NL-to-SQL engine
Conversational follow-ups
Charts & narrative
Speed at scale
KPI monitoring (optional)

AI Strategy & Audits

Know what to build, and whether what you built is working.

Hands-on advice from an engineer who ships. I help you choose AI use cases worth doing, pick models and architecture, and review existing LLM applications for quality, cost, latency and security, ending with a prioritised plan your team can act on.

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What you get

Use-case discovery
Architecture & vendor advice
LLM application audit
Evaluation framework
Cost & FinOps review
Written action plan

Engagement models

Ways to work together

Every engagement starts with a free discovery call and a written proposal with a fixed quote.

Fixed-scope project

A defined outcome, such as a proof of concept or a production feature, delivered against agreed milestones for a fixed quote.

Best for: New builds with clear goals

Monthly retainer

A reserved block of time each month to keep building, improving and supporting your AI systems.

Best for: Ongoing development and support

Advisory & audits

Focused sessions or a structured audit with a written report and action plan.

Best for: Strategy, reviews and second opinions

Not sure which fits? Describe your project and I'll suggest one.

Have an AI project in mind?

Tell me what you're trying to build. In a free 30-minute call we'll work out whether AI is the right tool, what it would take, and whether I'm the right person to build it.

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