Concrete, distilled guides that take the principles from my engineering work and turn them into something you can apply. Read the summary, download the full PDF.
01
From Business Case to Board Report
A decision framework for UK organisations: building the AI business case, structuring investment, measuring returns, and governing AI from the board down.
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02
Adoption, Governance and Training for Non-Technical Teams
A practical playbook for helping non-technical teams use AI tools safely, consistently and effectively.
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03
Frameworks, Policies and Operating Models for Auditable AI at Scale
The complete enterprise AI governance stack: frameworks, policies and operating models for auditable AI at scale.
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04
Keeping Your Data Under UK Jurisdiction
Actionable processes, templates and verification procedures for keeping sensitive data under UK jurisdiction while still deploying AI.
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05
A Practical Playbook for Adoption, Guardrails and Review
A practical playbook for adopting AI coding agents in an engineering team: guardrails, project memory, review and rollout.
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06
Architecture, Frameworks and Production Deployment
An architecture and deployment reference for technical teams building multi-agent AI systems that integrate with real business infrastructure.
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07
A Workflow Playbook for Agentic Teams
A workflow and operating-model playbook for teams where AI agents write the code: what replaces sprints, estimation and the ceremonies built for human-paced delivery.
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