I Build AI Systems That
Actually Run Your Business
From multi-agent orchestration to document intelligence — I deploy production agentic systems using Claude Opus 4.6, GPT-5.2, and Gemini 3.1 Pro. Not chatbots. Not demos. AI that saves real money. 20+ years dev experience. £100k+ verified annual savings.
No pitch deck. No proof-of-concept purgatory. Production AI, shipped in weeks.
Why AI-Max
AI That Runs Real Work —
Not Demos That Win Meetings
I ship agentic workflows that integrate with your stack, with governance and measurement built in so you can scale safely.
Ship in Days, Not Months
Pre-built patterns for Claude Opus, GPT-5, Gemini 3.1 Pro, and open-source models accelerate delivery. First working automation in 10 days.
10-day typical delivery
Measurable ROI from Day One
Every engagement starts with a baseline. I instrument everything — time saved, errors avoided, money recovered.
£100k+ savings proven
Governance Built In
Model evaluation, prompt versioning, output grading, hallucination guardrails, and human-in-the-loop approvals. Automation without chaos.
Deploy without sleepless nights
Model Agnostic: Claude Opus 4.6 • GPT-5.2 • Gemini 3.1 Pro • DeepSeek-V3.2 • Qwen3.5 • Llama • Mistral • Azure • n8n • Supabase
Capabilities
Everything You Need to Operationalise AI — Safely
Deploy agentic workflows powered by the latest reasoning and retrieval models. Built for measurable ROI, with governance baked in from day one.
Agentic Workflow Engine
Multi-agent orchestration that handles triage, routing, approvals, reporting, and follow-ups — across systems, not just inside chat. Built on MCP (Model Context Protocol) with structured outputs.
- Multi-agent orchestration
- Event-driven triggers & MCP tool-use
- Structured outputs & compliance logging
AI Governance & Observability
Model evaluation, drift detection, prompt versioning, output scoring, and role-based access so automation doesn't become chaos.
- Prompt versioning & output grading
- Audit trail & compliance logging
- Drift monitoring & hallucination guardrails
Reasoning & Retrieval Agents
GPT-5 High for complex reasoning chains, Claude Opus 4.6 for long-context analysis, Gemini 3.1 Pro for multimodal tasks — with agentic RAG, reranking, and function calling.
- Agentic RAG & hybrid search
- API integrations & function calling
- Structured, auditable outputs
AI-Max didn't sell us a chatbot. He automated the work around it — triage, approvals, updates, and reporting. We felt the impact in week one, and governance meant we could deploy without sleepless nights.
Operations Director
UK Services Business (500+ staff)
The Process
From Discovery to Deployed — in Weeks
AI is easy to demo and hard to deploy. I bridge that gap with a proven delivery framework.
Discovery
I map your operations, identify where reasoning models, document AI, or multi-agent workflows fit, and give you a prioritised roadmap with expected ROI.
Design
Architecture, integrations, governance rules, and a clear delivery plan.
Build & Ship
Iterative delivery — working automation in your environment within 10 days. You're involved at every stage.
Optimise
Measure, tune, expand. Continuous improvement with quarterly ROI reporting.
You'll leave the first call with three automation candidates, expected ROI, and a delivery plan.
Pricing
Engagement Packages to Fit Your Ambition
Fixed-scope starts for speed. Flexible retainers for scale. All with governance and measurement.
Sprint
For teams who want a fast, tangible win.
- 1 agentic workflow delivered end-to-end
- Integration with up to 2 systems (e.g., M365 + CRM)
- Baseline + ROI measurement dashboard
- Governance: approvals, audit trail, guardrails
- Full handover documentation + playbook
Build
For teams ready to automate a whole function.
- 3–5 production workflows in phased releases
- Agentic RAG & hybrid search pipelines
- Monitoring + exception handling
- Role-based access and permissions model
- Team training: operators + owners
Managed AI Ops
For organisations that want continuous optimisation.
- Continuous improvement + model upgrades (latest Claude/GPT/Gemini)
- New workflows each month (agreed cadence)
- Governance reviews + drift monitoring
- Incident response + performance tuning
- Quarterly roadmap + ROI reporting
Common Questions (And Straight Answers)
Working systems. You'll get deployed agentic workflows, documentation, and handover — plus a measurable ROI baseline. Not slide decks.
Least-privilege access, audit logs, human-in-the-loop approvals for high-impact actions, prompt versioning, output grading, and clear data handling. I design around your policies.
No. I prioritise high-ROI workflows that tolerate imperfect data, then improve data quality as a second-order win.
I'm model-agnostic. I select the right model per task: GPT-5.2 or GPT-5 High for complex reasoning, Claude Opus 4.6 for long-document analysis, Gemini 3.1 Pro for multimodal work, DeepSeek-V3.2 or Qwen3.5 for cost-sensitive or on-premises deployments. I also integrate with Microsoft 365, Azure, CRMs, ERPs, and custom APIs.
You do. Everything is documented and transferable. No hostage-style 'black box'.
Typically within 10 working days for the first automation, then iterative releases every 1–2 weeks.
I'll Identify Your First AI Win — In One Call
Book a free AI Audit. You'll leave with three automation candidates, expected ROI, and a delivery plan.
No pitch deck. No proof-of-concept purgatory. If I can't identify value quickly, I'll tell you.