AI Strategist
For people who have to make decisions about AI, not just use it. Diagnose what goes wrong, understand the ecosystem, build a strategy, and learn from the leaders.
AI Failure Lab
Break AI on purpose. Diagnose the root cause, choose the intervention, and test the fix across models, data, RAG, agents and security.
AI Ecosystem
Who does what in the AI world — compute, data, models, infrastructure, agents and the people who give it purpose.
AI Strategy Consulting
Answer a short guided questionnaire and download a branded AI strategy report tailored to your organisation.
Thought Leadership on AI
Perspectives from the people setting the direction of AI, plus decks and essays worth your time.
The Eternal Flame of Learning
Flip through all 10 pages, or download the full PDF to read offline.
AI Strategist
From Using AI to Designing an AI-Powered Enterprise
Understanding AI is only the beginning. The next stage is becoming an AI Strategist.
An AI Strategist does not simply know how to use ChatGPT or experiment with the latest AI tools. They understand how to look at an organisation through a different lens:
- Where can AI create meaningful value?
- Which business problems should we solve first?
- Which workflows should be redesigned?
- What should humans do—and what should AI do?
- How do we move from isolated experiments to enterprise transformation?
The AI Strategist sees AI not merely as a technology, but as a new strategic capability.
The Evolution: From AI User to AI Strategist
From Prompts to Workflows
A single AI prompt can be useful. But a real business process usually involves many steps. Imagine preparing a competitive intelligence report.
The strategic question is no longer “Where can we use ChatGPT?” It becomes “How should this entire workflow operate when AI becomes part of the workforce?”
Understanding Agentic AI
Generative AI can create an answer. Agentic AI can pursue an objective. An AI agent can potentially be designed to:
- Understand a goal
- Break it into tasks
- Develop a plan
- Use tools
- Search for information
- Analyse data
- Take actions
- Check results
- Adjust its approach
- Escalate decisions to humans
Instead of asking AI to “analyse our competitors”, an organisation could deploy a Competitive Intelligence Agent that:
- Monitors competitors continuously
- Detects new product launches
- Tracks strategic announcements
- Compares market positioning
- Identifies emerging threats
- Summarises key developments
- Alerts the strategy team
The AI is no longer simply responding to a request. It is becoming part of an ongoing business capability.
The Rise of Multi-Agent Systems
The next level of Agentic AI involves multiple specialised agents working together — an AI-powered strategy team.
A human leader remains responsible for direction, judgement and final decisions. But the organisation now has an AI-powered digital workforce supporting its thinking and execution.
Workflow Design: The New Management Skill
Don't automate a broken process. Redesign the process first.
The Enterprise AI Strategy
1. Where Will AI Create the Most Value?
Not every AI project deserves investment. An organisation should look across:
- Revenue growth
- Customer experience
- Cost reduction
- Productivity
- Risk management
- Innovation
- Employee capability
- Strategic intelligence
2. Which Processes Should Be Automated, Augmented or Reimagined?
The greatest transformation often comes from the third category.
The AI Strategy Portfolio
An AI Strategist balances all four.
Building an AI-Ready Organisation
Human + AI: Designing the New Workforce
The future organisation will not simply be humans versus AI. It becomes Humans + AI Copilots + AI Agents + Automation. The AI Strategist must design the division of labour.
The strategic opportunity lies in combining these strengths intelligently.
The AI Strategist's Framework
When evaluating any AI opportunity, ask:
- 1.What is the business problem?
- 2.What is the potential value?
- 3.Is AI the right solution?
- 4.What data and systems are required?
- 5.What should AI do?
- 6.What should humans do?
- 7.What risks must be managed?
- 8.How will success be measured?
- 9.Can the solution scale?
- 10.Could this create competitive advantage?
This is the difference between AI experimentation and AI strategy.
The Ultimate Role of the AI Strategist
The AI Strategist does not chase every new AI tool. They connect technology with business value. They do not ask “What can this AI do?” They ask “What can this organisation become because of AI?”
The AI revolution is not simply about deploying smarter technology. It is about redesigning how organisations think, decide, create, operate, serve customers, innovate and compete.
The AI Strategist stands at the centre of that transformation. The future will not belong to the organisations with the most AI. It will belong to the organisations that learn how to redesign themselves around human intelligence and artificial intelligence—working together.