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Your HCI Proof of Concept Measures the Wrong Thing.

Most organizations evaluate private cloud and HCI platforms by running a technical POC. The POC passes. The platform fails. The reason is structural — and fixable. The Platform Fitness Evaluation Model (PFEM) tells you what to measure instead.

...storage failure, what would your experience be?" That answer tells you more than any benchmark. Layer 3: Governance Compatibility Most organizations skip this layer entirely. The core question: Does this platform...

Enterprise Architecture Infrastructure Private Cloud Hyperconverged Infrastructure Platform Selection Governance Technology Leadership Read Insight

Risk, Compliance & Control Points

Intermediate to Advanced (SA, EA, TS)5-6 hoursRisk and control register template + compliance mapping guide + architecture risk heat map

How architecture manages technical risk and meets regulatory obligations — covering architectural risk analysis, compliance by design, privacy by design, security controls as decisions, operational risk, control points, and demonstrating compliance through architecture.

...technical risk and meet regulatory obligations. The structure of a system — its boundaries, integrations, data flows, and access controls — determines its exposure. I've seen teams wait until the security review...

1 DayIntensive

CriticalSA · EA · TS

Architecture Risk Compliance Security Governance Control Points View Details

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.

...controls before those patterns cause operational harm. That kind of literacy changes the tone of AI governance. It replaces panic with pattern recognition. It also creates a healthier culture around AI...

1 DayPractical

Risk AwarenessOperational

AI Risk Failure Modes Hallucinations Automation Bias AI Governance View Details

Standards & Reference Architectures

Intermediate (SA, EA)4-5 hoursReference architecture library starter + standards register + architecture principles catalogue

How to create, govern, and operationalise architecture standards and reference architectures — the agreed patterns and structures that create consistency, reduce duplication, and accelerate delivery at scale.

...re-solving solved problems. What standards are: Pre-decided choices — "We use PostgreSQL for relational data" so teams don't re-debate the database every project. Guardrails — "All APIs must be versioned"...

1 dayIntensive

PracticalStandards exercise

Architecture Enterprise Context Standards Reference Architecture Governance Consistency View Details

AI Operating Model & Team Design

Intermediate4-5 hoursAI operating model blueprint + team role map + governance forum design

AI success is not just about tools. It depends on how teams are organised, who owns what, how standards are set, and how delivery, governance, and platform capabilities work together.

...failures Why organisation design matters The major operating model patterns Platform, product, and governance roles Decision rights and ownership Capability pathways and centres of gravity How capability...

1 DayStrategy

Operating ModelDesign

AI Operating Model Team Design AI Governance Transformation Platform Teams 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.

...Keep it in mind. Purpose The goal of this workshop is concrete: design the ownership structure and governance model that lets your organisation move from isolated AI pilots to a coordinated, scalable...

1 DayIntensive

Clear OwnershipAI at Scale

AI Strategy AI Governance Operating Model Organisational Design View Details

Technical Debt & Rationalisation

Intermediate to Advanced (SA, EA, TS)5-6 hoursTechnical debt taxonomy + rationalisation prioritisation framework + modernisation criteria

How to understand, measure, prioritise, and reduce technical debt — the accumulated cost of shortcuts, outdated decisions, and deferred maintenance.

...missing test is different from a wrong architecture. A deprecated library is different from a shared database. Treating all debt the same leads to wrong priorities. Four types of debt require different...

1 DayIntensive

StrategicSA · EA · TS

Architecture Technical Debt Rationalisation Modernisation Governance View Details

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 Governance Decision Rights Enterprise Architecture Agentic Ai Technology Strategy Architecture Governance Read Insight

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.

Executive Summary Who this is for: Enterprise Architects, CTOs, Solution Architects, Architecture Governance Teams Problem it solves: Organizations deploying AI agents have no structural record of who...

Architecture Architecture Governance Enterprise Architecture Ai Governance Ai Strategy Read Insight

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.

...patterns Protocols — MCP and A2A Tool use — giving agents hands Memory — what agents remember Multi-agent systems Governance — controlling agents The agent architecture in one diagram Cheat sheet The shift from automation...

2 DaysIntensive

Agent DesignWorkshop

AI Agents Agentic AI MCP A2A Multi Agent Systems AI Orchestration View Details

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