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AI Policy, Security & Organisational Controls

Beginner to Intermediate4-5 hoursAI policy checklist + security controls map + incident response starter template

Building and enforcing AI policy — the practical mechanisms that turn ethical principles into enforceable organisational rules. Data security, access controls, audit trails, and incident response.

Quick Navigation The enforcement gap Anatomy of an AI policy Data security Prompt injection and adversarial risk Access controls Audit trails and logging Incident...

1 DayIntensive

Beginner FriendlyNo legal background required

AI Policy AI Security Organisational Controls AI Governance Data Security Compliance AI Fluency View Details

Data and AI

Intermediate4-6 hoursData readiness assessment + governance framework + pipeline blueprint

The data foundations that make AI work. Data quality, governance, architecture, pipelines, and the GenAI shift from training to retrieval. Most AI failures are data failures — learn the patterns and prevent them.

Quick Navigation The data problem AI exposes Data quality — the six dimensions Data governance — who owns and protects it Data architecture...

1.5 DaysIntensive

Data ReadinessAssessment

Data Quality Data Governance Data Architecture Feature Engineering Data Pipelines RAG Vector Databases GenAI Data AI Fluency View Details

Case Study

From 15 AI Pilots to 6 Prioritized Initiatives

How a FinTech aligned AI strategy, governance, and execution in 8 weeks — cutting through pilot paralysis with a clear operating model.

AI Risk Patterns & Failure Modes

Beginner to Intermediate4-5 hoursAI risk pattern map + mitigation checklist + failure review template

Most AI failures are predictable. Learn the recurring patterns behind hallucinations, automation bias, data leakage, brittle workflows, hidden costs, and false confidence before they become expensive.

Quick Navigation Before we start — why failure literacy matters Why failures repeat The major failure patterns Human risk, not just model risk System...

1 DayPractical

Risk AwarenessOperational

AI Risk Failure Modes Hallucinations Automation Bias AI Governance View Details

AI & Agentic Systems Strategy Workshop

CIO, CTO, Chief AI Officer, VP EngineeringAI operating model, governance policy, compliance roadmap, 90-day action plan

Develop a clear, governed AI and agentic systems strategy that delivers business value while managing risk, cost, and compliance.

Before we start — the one thing to hold onto Most organisations don't have an AI problem. They have a strategy problem. I've sat in boardrooms where the CEO wants AI everywhere, the...

2 DaysStrategic

Operating ModelGovernance Framework

AI Strategy Agentic Systems AI Governance Responsible AI View Details

AI Decision-Making & Human Oversight

Beginner to Intermediate3-4 hoursHuman oversight framework + decision rights map + review checklist

AI can assist decisions, but accountability still belongs to people. Learn the operating rules for review, approval, escalation, confidence, and human authority in AI-supported work.

...we start — the oversight mistake everyone makes There is a particular phrase that causes trouble in AI rollouts: "The AI decided..." No, it didn't. The system produced an output. Someone designed the...

Half DayPractical

Control ModelDecision Ready

Human in the Loop AI Oversight Decision Making AI Governance Accountability View Details

AI Procurement, Vendor Evaluation & Tool Selection

Beginner to Intermediate3-4 hoursVendor evaluation scorecard + tool selection checklist + risk review template

Choosing AI tools is not a beauty contest. Learn how to evaluate vendors, compare capabilities, assess risk, avoid lock-in, and buy systems that your organisation can actually govern and adopt.

Quick Navigation Before we start — why buying AI is unusually noisy Why tool selection goes wrong What to evaluate beyond the demo The major decision...

Half DayDecision Focused

Vendor SelectionPractical

AI Procurement Vendor Evaluation Tool Selection Platform Strategy AI Governance View Details

Future Operating Model

Advanced (EA, TS)5-6 hoursFuture operating model scenarios + AI-native organisation design principles + transition pathway + Communication Structure Heatmap

How organisations will need to restructure their technology capabilities, teams, and governance as AI, automation, and platform thinking reshape what it means to run a technology function.

...here — Why the future operating model must be designed How technology organisations are changing The AI-augmented technology function Platform-based operating models The evolving role of architecture Skills...

1 DayIntensive

StrategicEA · TS

Architecture Operating Model AI Future of Work Strategy Platform View Details

AI Architecture Clarity: Understanding LLM, RAG, Agents, and MCP Through the Brain Model

A clear executive guide explaining LLM, RAG, AI Agents, and MCP using the Brain model to prevent enterprise AI instability.

Executive Summary Who this is for: CIOs, CTOs, Enterprise Architects, AI Transformation Leaders Problem it solves: Confusion around LLM, RAG, Agents, and MCP leading to unstable...

Ai Governance Execution Read Insight

AI Decision Rights: Who Decides What When No Human Is Watching?

Decision rights models assume human decision-makers. AI agents breach that assumption silently. Here is how to extend decision rights to cover autonomous actors before the first ungoverned decision becomes a production incident.

Executive Summary Who this is for: CTOs, Enterprise Architects, AI Governance Leads, Architecture Board Members, Heads of Engineering Problem it solves: Decision rights...

Ai Decision Rights Governance Read Insight

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