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ADR Templates: 5 Variations for Different Contexts + Governance Automation
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.

...five-template ADR system called the Contextual Decision Record Stack (CDRS) matched to decision type, plus automation that removes the manual burden of governance follow-up Time to implement: 30–60 days Business...

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.

Quick Navigation Start here — The evolution of automation What agentic systems are Architecture patterns for agents MCP and A2A protocols Human-in-the-loop...

1.5 DaysIntensive
CurrentSA · EA · TS
AI Agents and Automation
Intermediate to Advanced6-8 hoursAgent use case map + architecture blueprint + governance framework

AI agents — what they are, how they work, the protocols shaping them (MCP, A2A), and the governance you need before you let one act on your behalf. The bridge between AI that talks and AI that does.

Quick Navigation The shift from automation to agency Agents vs traditional automation The agent loop — how they actually work Agentic...

2 DaysIntensive
Agent DesignWorkshop
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.

...Once you understand that, many incidents stop looking mysterious. Hallucinations are not mysterious. Automation bias is not mysterious. Weak controls around new tools are not mysterious. They are ordinary...

1 DayPractical
Risk AwarenessOperational
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.

...composition Putting it all together Cheat sheet Before we start — the one thing to hold onto AI and automation are changing what humans in technology organisations need to do. Platform thinking shifts...

1 DayIntensive
StrategicEA · TS
AI Workflow Design & Process Redesign
Beginner to Intermediate4-5 hoursAI workflow map + redesign canvas + exception-handling pattern

Most organisations do not need more prompts. They need better workflows. Learn how to redesign work around AI, human review, exceptions, and measurable outcomes.

...accountability, exception handling, and downstream consequence converge. In many workflows, the best early automation targets are: preparation summarisation extraction classification drafting recommendation These...

1 DayHands-on
Workflow DesignPractical
Architecture in the Age of AI: What Can Be Automated — and What Cannot
Architecture in the Age of AI: What Can Be Automated — and What Cannot

A governance-driven perspective explaining why software architecture cannot be automated because decision accountability and consequence ownership cannot be delegated to AI.

...ambiguous. Audit trails weaken. Escalation boundaries blur. This is not an AI failure. It is a governance failure. Automation magnifies misalignment. The Governance Principle in the AI Era Architecture fails when: Tools...

From Creation to Autonomy: Understanding Generative AI, AI Agents, and Agentic AI Through a Workplace Analogy
From Creation to Autonomy: Understanding Generative AI, AI Agents, and Agentic AI Through a Workplace Analogy

A clear executive guide explaining Generative AI, AI Agents, and Agentic AI using a corporate office analogy to prevent autonomy risks in enterprise AI.

...reasoning Tool selection decisions Iterative improvement loops Reduced human oversight This is not automation. This is delegated authority. The Autonomy Spectrum Enterprise AI maturity can be viewed as...

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.

...data produces unreliable results. I've seen organisations jump straight to AI — chatbots, predictions, automation — without fixing the data foundation. The result is unreliable AI, wasted investment, and...

1.5 DaysIntensive
CurrentSA · EA · TS
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.

...avoid Why AI changes work before it changes jobs Tasks, roles, and capability shifts Augmentation vs automation How role redesign actually works The skills that rise in value Manager responsibilities in...

1 DayTransformation
Role DesignPractical