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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

Data & AI Direction

Intermediate to Advanced (SA, EA, TS)5-6 hoursData and AI direction framework + AI readiness assessment + governance overlay

How data strategy and AI direction connect to architecture — covering data quality, governance, data architecture for AI, AI enablement, responsible AI, data products, data mesh, and building a data and AI roadmap.

...here — Why data strategy is an architecture concern Data quality and governance Data architecture for AI AI enablement Responsible AI by design Data products and data mesh Building a data and AI roadmap Common...

1.5 DaysIntensive

CurrentSA · EA · TS

Architecture Data Strategy AI Data Governance Data Mesh Data Products 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

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

AI Change in Roles, Skills & Workforce Design

All levels4-5 hoursRole redesign canvas + skills pathway + workforce transition map

AI does not only change tools. It changes tasks, handoffs, expectations, and the shape of roles themselves. Learn how work evolves when people and AI collaborate by design.

Quick Navigation Before we start — the workforce conversation people avoid Why AI changes work before it changes jobs Tasks, roles, and capability shifts Augmentation vs automation How...

1 DayTransformation

Role DesignPractical

Workforce Design Role Redesign AI Adoption Skills Human AI Collaboration View Details

AI Operating Model Workshop

CTO, CIO, VP Engineering, Enterprise Architects, AI LeadersAI ownership model, governance framework, capability map, 90-day activation plan

Stop running AI experiments in isolation. Build the ownership structure, governance model, and decision rights that turn scattered AI pilots into an organisation-wide capability.

Before we start — the one thing to hold onto Most organisations think they have an AI adoption problem. They don't. They have an ownership problem. I've sat with leadership teams who had...

1 DayIntensive

Clear OwnershipAI at Scale

AI Strategy AI Governance Operating Model Organisational Design 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.

MCP Is Not an AI Protocol. It Is a Governance Layer.

MCP is classified as an AI integration protocol. It is actually a governance primitive — the stable interface layer that architecture fitness functions have been missing for years.

...voltage, continuity, and load capacity — through a stable interface that abstracts every internal detail. The electrician can rewire the entire building. The test point still returns the right answer. The...

Enterprise Architecture Governance Architecture Fitness Functions Mcp Technology Strategy Read Insight

ADR Templates: 5 Variations for Different Contexts + Governance Automation

One ADR template does not fit every architectural context. Five purpose-built variations — for standard decisions, agentic AI, cross-domain impact, fast delivery, and high-risk reversals — plus governance automation to make the system run without manual follow-up.

...not apply. Routine decisions get skipped entirely because the template feels like too much overhead. AI agent decisions do not get recorded at all because nobody built a template for them. And the architecture...

Enterprise Architecture Architecture Decision Records Governance Ai Governance Documentation Read Insight

Automation & Agentic Systems

Intermediate to Advanced (SA, EA, TS)6-7 hoursAutomation opportunity map + agent architecture blueprint + MCP/A2A integration guide + Agentic Risk & Cost Framework

How AI-powered architectures that plan, act, and use tools autonomously are reshaping integration and workflow — covering agentic patterns, MCP and A2A protocols, orchestration frameworks, human-in-the-loop design, guardrails, observability, and economic risk management.

...protocols Human-in-the-loop design Governance and risk Where to start Orchestration tools and frameworks Guardrails and evaluation Observability Economic guardrails Putting it all together Cheat sheet Before we start...

1.5 DaysIntensive

CurrentSA · EA · TS

Architecture AI Agents Agentic Systems MCP A2A Automation Orchestration View Details

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