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AI Procurement, Vendor Evaluation & Tool Selection
Beginner to Intermediate3-4 hoursVendor evaluation scorecard + tool selection checklist + risk review template

Choosing AI tools is not a beauty contest. Learn how to evaluate vendors, compare capabilities, assess risk, avoid lock-in, and buy systems that your organisation can actually govern and adopt.

...capability decisions. A platform choice influences workflow design, governance posture, integration architecture, user habits, and future switching costs. In other words, you are rarely buying only a tool....

Half DayDecision Focused
Vendor SelectionPractical
AI ProcurementVendor EvaluationTool SelectionPlatform StrategyAI GovernanceView Details
Decision Rights & Delegation
Engineering Managers, Tech Leads, Directors, CTO, VP Engineering3-4 hoursDecision rights map by altitude and domain, with every gap, overlap and delay node named

Decisions made at the wrong altitude are the commonest source of both bottleneck and drift — which makes delegation a design problem, not a trust problem.

...process for technology decisions. It usually looks like this. A team cannot agree. They escalate to the architecture board. The architecture board cannot agree. They escalate to the CTO. The CTO makes a call....

1 DayIntensive
AltitudeWho decides what
Decision RightsDelegationGovernanceDecision VelocityView Details
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.

...involved AI projects have a habit of engaging only the people who build or buy the technology. The data scientists. The IT team. The innovation lab. But adoption requires buy-in from everyone who will...

2 DaysIntensive
Adoption PlaybookDeliverable
AI AdoptionChange ManagementProject DeliveryStakeholder EngagementAI CultureView Details
What is Generative AI?
Beginner3-4 hoursClear mental model of Generative AI + reference materials

Generative AI — what it actually is, how it works, what it's good at, and where it goes wrong. No hype. No math. Just clarity.

...produced fresh, in the moment, from patterns it absorbed during training. There is no lookup. There is no database of correct answers sitting behind the curtain. Think of it more like a session musician who...

Half DayIntensive
Beginner FriendlyNo math required
Generative AILLMsAI FundamentalsMachine LearningView Details
AI Tools, Landscape & Platforms
Beginner to Intermediate3-4 hoursPersonal AI tools map + selection framework + team stack recommendation

The AI tools landscape — what the major platforms are, how they actually differ, and how to choose the right one for the right job. Stop chasing every new launch. Start making deliberate choices.

...image/audio/video understanding Meta Llama 4 Open-source flexibility, self-hosted deployment Your org needs full data control or can't send data to a vendor Mistral Efficient performance, EU data residency You're...

Half DayIntensive
Beginner FriendlyNo technical background required
AI ToolsAI PlatformsGenerative AIAI LandscapeLLMsAI FluencyView Details
Developer Experience as a Control System
CTOs, Engineering Leads, Platform Engineering Teams, Engineering Managers3-4 hoursA delivery friction map across four sprints, one named constraint pillar, and a traced DX-to-delivery signal

DevEx is not a perk — it is the set of operating conditions that governs how fast and how safely change moves through your delivery system.

...one move. Try it yourself — The category test Question Your answer Which report does your DevEx data appear in, and who chairs that meeting? How often is it reviewed, compared with how often delivery...

1 DayIntensive
ConditionsNot satisfaction
Developer ExperienceDelivery PerformanceFeedback LoopsPlatform EngineeringView 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.

...their own experiments without standards. Governance shows up late. Procurement buys tools in silos. Data teams, engineering teams, and business teams all touch the same workflow with different incentives...

1 DayStrategy
Operating ModelDesign
AI Operating ModelTeam DesignAI GovernanceTransformationPlatform TeamsView Details
Execution Stability & Structured Refactoring
CTOs, Engineering Directors, Principal Engineers, Engineering Managers3-4 hoursA classified structural risk map — your top friction modules sorted into dicing, slicing and peeling with a governance rule attached

Delivery slows because structural entropy accumulates unmeasured. Classify refactoring into dicing, slicing and peeling to restore predictability.

...Refactoring happens in bursts nobody planned for, so its cost lands in whichever sprint it lands in. Architecture reviews become subjective. Without structural metrics to anchor them, reviews reduce to...

1 DayIntensive
LayersNot cleanup
Execution StabilityRefactoringDelivery PredictabilityStructural RiskView Details
How LLMs Work
Beginner to Intermediate4-6 hoursWorking mental model + reference materials

What actually happens inside a Large Language Model — from the moment you type a prompt to the moment it responds. No math. No fluff. Just a clear picture you can hold in your head.

...become "Chat" + "G" + "PT" — three tokens — because the combined string wasn't common enough in training data to earn its own dedicated token. Try it yourself — Tokenize your own text Take a sentence from...

2 DaysIntensive
Beginner FriendlyNo math required
LLMsMachine LearningTransformersGenerative AIView 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.

...of them. Each team was experimenting. Nobody was deciding. An AI operating model isn't a technology architecture. It's an answer to one question: who in this organisation owns AI decisions, at what level,...

1 DayIntensive
Clear OwnershipAI at Scale
AI StrategyAI GovernanceOperating ModelOrganisational DesignView Details
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