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Technology Leadership & Organizational Excellence
Intermediate to AdvancedLeadership roadmap and team enablement plan

Learn to lead high-performance engineering organizations with clear decision rights, distributed leadership, and AI-augmented team management for the future of work.

...culture erodes. Examples or metaphors: Air traffic control — coordinates from a distance, relies on systems and protocols Orchestra conductor — doesn't play instruments but elicits coordinated performance Gardener...

2 DaysWorkshop
Coming Soon
LeadershipOrganizational DesignDecision RightsAI Augmented TeamsView 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.

...on something better. Which one to reach for: What you need Best choice General daily use — writing, thinking, drafting ChatGPT or Claude.ai Analysing a document over 50 pages Claude.ai — it holds more...

Half DayIntensive
Beginner FriendlyNo technical background required
AI ToolsAI PlatformsGenerative AIAI LandscapeLLMsAI FluencyView Details
How to Think With AI
Beginner to Advanced5-7 hoursPersonal AI Fluency framework + working habits

AI Fluency — the four competencies that separate people who use AI from people who think with it. Delegation, Description, Discernment, Diligence. Master these and everything else follows.

...is the mode most people underuse — and where the deepest value is. Augmentation means using AI as a thinking partner. Not to do your work for you, but to help you do your work better. You're in uncertain...

2 DaysIntensive
4 CompetenciesComplete Framework
AI FluencyGenerative AIProductivityAI WorkflowsResponsible AIView Details
Data and AI
Intermediate4-6 hoursData readiness assessment + governance framework + pipeline blueprint

The data foundations that make AI work. Data quality, governance, architecture, pipelines, and the GenAI shift from training to retrieval. Most AI failures are data failures — learn the patterns and prevent them.

...millions in AI models and platforms while neglecting the data that feeds them. They build sophisticated systems on top of messy, siloed, ungoverned data — and wonder why the results are unreliable. The hard...

1.5 DaysIntensive
Data ReadinessAssessment
Data QualityData GovernanceData ArchitectureFeature EngineeringData PipelinesRAGVector DatabasesGenAI DataAI FluencyView Details
Investment & Prioritisation
Advanced (EA, TS)5-6 hoursInvestment prioritisation model + business case guide (including TCO and unit economics) + sequencing criteria

How to decide which technology initiatives get funded, in what order, and why — connecting architecture to financial decisions and business outcomes.

...Quantifying risk: Technical — probability of failure × cost of failure. Operational — impact on running systems. Financial — cost overrun probability. Strategic — opportunity cost. Every investment needs both...

1 DayIntensive
StrategicEA · TS
ArchitectureInvestmentPrioritisationBusiness CaseStrategyFinOpsView Details
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.

...demand forecasting Strategic bets Create new capabilities or markets AI-powered products, autonomous systems Prioritisation criteria: strategic alignment (25%), value potential (30%), feasibility (20%),...

2 DaysIntensive
Strategy + RoadmapDeliverable
AI StrategyBusiness TransformationOperating ModelAI MaturityValue RealizationView Details
What Architecture Is
All levels — SA, EA, TS3-4 hoursArchitecture definition canvas + what it is / what it isn't reference card

What software and enterprise architecture actually is — its structure, relationships, and decisions — and what it is not. No diagrams. No jargon. Just clarity.

...enterprise architecture is the only thing that matters. Both are wrong. Architecture is fractal. The same thinking applies whether you're designing a single service or an entire organisation. A component-level...

Half-dayIntensive
FoundationFor all roles
ArchitectureFoundationsDecision MakingView 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.

...Language Model. ChatGPT, Claude, Gemini — they're all LLMs. You've probably used one this week without thinking much about what's happening behind the screen. The name is a bit misleading. "Language model"...

2 DaysIntensive
Beginner FriendlyNo math required
LLMsMachine LearningTransformersGenerative AIView Details
Effective Prompt Engineering
Beginner to Advanced6-8 hoursFull prompt design framework + personal prompt library

Every major prompt engineering technique — from basic clarity to advanced agentic reasoning. Not a list of tips. A mental model you can apply to any task, any tool, any context.

...answer Step-Back — zoom out first Least-to-Most — build up from simple Advanced techniques — for production systems, agentic workflows, maximum quality Prompt Chaining — one task per prompt Generated Knowledge...

2 DaysIntensive
19 TechniquesComplete Coverage
Prompt EngineeringLLMsGenerative AIProductivityAI WorkflowsView Details
Fractional Technology Leadership Engagement
Startups and scale-ups needing senior technology leadershipTechnology strategy, architecture governance, team development, board reporting

Embed experienced technology leadership into your organisation on a part-time basis—owning architecture decisions, team development, and delivery governance.

...we start — the one thing to hold onto Most startups don't need a full-time CTO. They need CTO-level thinking. I've sat with founders who hired their first VP Engineering at Series A — and watched that...

1-3 Days/WeekEmbedded
Fraction of CostFull-time Hire
Fractional CTOFractional VP EngineeringFractional Chief ArchitectPart Time LeadershipView Details
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