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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.

Executive Summary Who this is for: CIOs, CTOs, Enterprise Architects, AI Strategy Leaders Problem it solves: Confusion between Generative AI, AI Agents, and Agentic AI leading...

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.

...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...

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
Nobody Uses ADRs as an Agentic Decision Log. They Should.
Nobody Uses ADRs as an Agentic Decision Log. They Should.

Why Architectural Decision Records are the only structure most organizations already have that can govern AI agent accountability — and how to extend them into an Agentic Decision Log before the EU AI Act deadline.

...CTOs, Solution Architects, Architecture Governance Teams Problem it solves: Organizations deploying AI agents have no structural record of who authorized the agent to act, what decisions it can make autonomously,...

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.

...from automation to agency Agents vs traditional automation The agent loop — how they actually work Agentic reasoning patterns Protocols — MCP and A2A Tool use — giving agents hands Memory — what agents...

2 DaysIntensive
Agent DesignWorkshop
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 design Governance...

1.5 DaysIntensive
CurrentSA · EA · TS
The AI Evolution Stack: How AI Systems Mature from Simple Models to Governed Platforms
The AI Evolution Stack: How AI Systems Mature from Simple Models to Governed Platforms

A structured guide explaining how AI systems evolve from simple model usage to governed platforms, and how to scale complexity without losing architectural control.

Executive Summary Who this is for: Technology leaders, architects, founders scaling AI beyond experimentation Problem it solves: AI systems growing in complexity without proportional governance Key...

The Enterprise AI Operating Model: From Experimentation to Institutional Capability
The Enterprise AI Operating Model: From Experimentation to Institutional Capability

A structured executive guide explaining how to move from AI experimentation to an Enterprise AI Operating Model with governance, autonomy control, and cost discipline.

Executive Summary Who this is for: CIOs, CTOs, Enterprise Architects, AI Transformation Leaders Problem it solves: AI initiatives running as disconnected pilots without governance...

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
Responsible AI Implementation Workshop
AI/ML Engineers, Data Scientists, Product Managers, Compliance OfficersResponsible AI implementation guide, safety guardrail templates, compliance checklist

Implement responsible AI practices including safety guardrails, alignment mechanisms, bias detection, and regulatory compliance.

Before we start — the one thing to hold onto Most teams think responsible AI is a compliance checkbox. I've sat in rooms with legal teams who believed that once they'd filled...

1-2 DaysHands-on
Compliance ReadyGovernance