From the first board conversation to the code in production.
Ten services covering the whole arc of an AI transformation — governance and executive training at one end, adversarial security testing and engineering practice at the other. Most organizations need two or three of them, in a particular order. The assessment call is where we work out which.
C-Level AI Consultancy
An end-to-end 6-month consulting and training program for executives and decision-makers: AI committee setup, 5-day training, board decision support and continuous briefings.
AI Model Watch and Stack Intelligence
A 6-month analysis program comparing every cloud and local AI model against your organization's real needs — capability, cost and performance, in evidence-based tables.
AI-Augmented Coding Consultancy
A 6-day technical program that moves software teams to AI-assisted development — Claude Code training, repository-level architectural transformation, autonomous workflows, TDD and automated review.
Advanced AI Training
An intensive 2-day training covering AI history and risks, transformation roadmap, LLM and Transformer foundations through interactive simulations, and RAG, MCP and Agentic AI with live demos.
AI Agent Coding with Python
A hands-on 2-day workshop taking developers from Python basics to coding LLM-based agents with local models, Claude and OpenAI, using LangChain, LlamaIndex and Jupyter Notebook.
AI Red Teaming & Security
A 3-day security health check for your AI systems — prompt injection, data leak and jailbreak testing, review of production automations, telemetry audit and a detailed security report.
Fractional AI Officer (AIaaS)
A monthly-retainer fractional AI officer: three days a month of advisory, direction and technological leadership across all AI work in your company, on a shared calendar.
AI Awareness Analysis
A 3-day diagnostic that establishes where your organisation stands on AI today — company-wide awareness sessions, needs gathering across units, IT and leadership strategy analysis, sector and company opportunity-risk analysis, and a detailed board report.
Agent and MCP Design Training and Health Check
A three-day-a-month programme that teaches a deterministic approach to AI agent design and audits the MCP installation already running in your organization — server inventory, authentication, permission scope and data access review; enterprise gateway, least privilege and telemetry design.
Unit-Level Model and Solution Mapping
A five-day analysis run separately for marketing, sales, finance, HR, operations, legal and IT — which task goes to which model, which integration goes to which MCP, and which decision stays with a human. Output: a per-unit tool stack and a 12-month rollout sequence.