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Your HCI Proof of Concept Measures the Wrong Thing.
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.

...How many people need to be available for a Severity 1 incident on this platform? Compare that to your current team structure. Upgrade cadence fit: How frequently does this platform require upgrades? Map...

Roadmaps & Transformation Sequencing
Intermediate to Advanced (SA, EA, TS)5-7 hoursRoadmap template + transition state design guide + sequencing logic + dependency overlay

How to build multi-year transformation roadmaps that sequence architectural change realistically — accounting for dependencies, capacity, risk, and the fact that the organisation must continue operating while it transforms.

Quick Navigation Start here — What a roadmap is Defining transition states Sequencing principles Dependency mapping Capacity and risk Communicating the roadmap Maintaining...

1.5 DaysIntensive
StrategicSA · EA · TS
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.

...Rules Rules engine (conditional) Rules engine, if-then Workflows Workflow designer (predefined) BPM, state machines Agents The agent (dynamic) Orchestration, memory, tool use The shift from workflows to...

1.5 DaysIntensive
CurrentSA · EA · TS
AI Knowledge Systems — RAG, Search, Memory & Internal Knowledge
Intermediate4-5 hoursKnowledge system map + RAG decision framework + memory design checklist

Many useful AI systems are not smarter because the model is smarter. They are smarter because the system can retrieve, search, remember, and ground itself in the right knowledge at the right time.

...relevant policy, retrieve the relevant section, preserve the right context window, remember the right state, and avoid inventing what it cannot support. In other words, a lot of apparent intelligence is...

1 DaySystems Thinking
Knowledge DesignPractical
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.

...and predictable, traditional automation is better. Process Why it needs flexibility, not fixed rules Current pain e.g. Processing customer refund requests Each case has different context and history Takes...

2 DaysIntensive
Agent DesignWorkshop
AI Implementation & Technical Architecture
Intermediate to Advanced5-7 hoursAI architecture blueprint + MLOps framework + deployment playbook

Turning AI prototypes into reliable, scalable production systems. MLOps, model serving, RAG architecture, monitoring, and the engineering discipline that most AI projects are missing.

...planned one), rate each dimension. Your largest gap is your biggest implementation risk. Dimension Current state Target state Gap size Data Sample / Production pipeline Small / Medium / Large Code Notebook...

2 DaysIntensive
ArchitectureBlueprint
Technology, Infrastructure, Cloud & Security Design
Intermediate to Advanced (SA, EA)6-8 hoursInfrastructure decision framework + cloud pattern reference + security controls map

Where abstract architecture meets physical reality — choosing the platforms, compute, networking, and security controls that make the solution work at scale.

...more. PaaS = balanced. SaaS = provider manages more. Try it yourself — The cloud model check For your current workloads, where do they sit? Workload Current model Should it be? Why? If everything is IaaS,...

2 DaysIntensive
PracticalSA · EA
AI Strategy & Business Transformation
Intermediate to Senior Leaders5-7 hoursAI strategy framework + operating model blueprint + 12-month roadmap

Building an AI strategy that drives real business transformation. Vision, operating models, value frameworks, maturity assessment, and portfolio management. Turn AI potential into measurable outcomes.

...projects should we fund?" without first answering "where is AI taking us?" An AI vision is not a mission statement. It is a concrete description of what the organisation looks like when AI is working well —...

2 DaysIntensive
Strategy + RoadmapDeliverable
Platform Thinking
Intermediate to Advanced (SA, EA, TS)5-6 hoursPlatform strategy canvas + internal platform design guide + shared capability register

How to shift from building one-off solutions to building reusable internal platforms — shared foundations that allow teams to deliver independently without solving the same problems repeatedly.

...project team. Try it yourself — The team check How is your platform team funded and measured? Factor Current state Should be Funding model Continuous Success metrics Adoption, satisfaction Product management...

1 DayIntensive
CurrentSA · EA · TS
AI Adoption, Change & Project Delivery
Intermediate5-6 hoursAI adoption playbook + stakeholder engagement plan + delivery framework

Moving AI from exciting pilot to boring-but-valuable production. The people, the process, and the delivery discipline that turns AI potential into daily practice.

...— Your stakeholder map For your AI initiative, map every stakeholder group. Who's missing from your current engagement? That's your adoption risk. Stakeholder What they need to know What they need to do...

2 DaysIntensive
Adoption PlaybookDeliverable