AI for Executive Decision-Making
Workshop for Leadership Teams

AI for decision making means using AI to gather and analyse information, generate and compare options, model scenarios and challenge assumptions so that people make better and faster decisions. In some routine cases, AI also makes the decision itself within limits set by people.

Organisations use AI to analyse data and spot patterns, forecast demand and risk, generate and compare options, model scenarios, and automate routine decisions such as fraud checks, pricing within agreed bands and ticket routing. At executive level, Capgemini's 2026 research found more than half of CXOs use AI selectively to support or inform strategic decisions, with 17% using it regularly.

Yes. AI can summarise information, lay out options with their pros and cons, model scenarios, run a pre-mortem and argue the opposite case. It works best as a thinking partner: you stay responsible for the decision, and you should check its facts and reasoning, especially for high-stakes or unusual situations.

AI can inform and challenge executive decisions, and it can make routine, codifiable decisions within agreed limits. Strategic, rare and hard-to-reverse decisions should stay with accountable leaders. In a Cambridge Judge Business School simulation, AI outperformed humans on profitability and market share but struggled with unpredictable disruptions.

A practical model has five levels: AI informs (summarises and analyses), AI advises (generates options and a recommendation), AI decides with human approval (human in the loop), AI decides with human oversight (human on the loop), and fully automated decisions with periodic audit. People remain accountable at every level.

There is no official '30% rule' for AI. The phrase is used informally, most often to suggest that AI can handle around 70% of routine work while people keep around 30% for judgement, oversight and relationships. Treat it as a rule of thumb, not a standard; the right split depends on the decision and its risk.

Yes. AI assistants such as ChatGPT, Claude, Gemini and Microsoft Copilot can build a decision tree as structured text, a table or diagram code that drawing tools can render. They are useful for structuring options and outcomes, but the probabilities and values they use should be checked against your own data and judgement.

The 10-10-10 rule, popularised by author Suzy Welch, asks how you will feel about a decision in 10 minutes, 10 months and 10 years. It helps balance short-term emotion against long-term consequences, and it works well as a prompt for AI-assisted reflection on a difficult choice.

There is no official list, but skills that consistently remain human include judgement in ambiguous situations, ethical reasoning, accountability, empathy, building trust and relationships, creativity in setting direction, and leading people through change. In decision-making, these are exactly the parts leaders should keep while AI handles analysis.

Decision intelligence is a discipline that combines data, analytics and AI to design, automate and improve how decisions are made across an organisation. It focuses on the decision rather than the data, asking which decisions matter, what information they need and how much AI should be involved.

Common examples include credit and fraud decisions in banking, dynamic pricing in retail and travel, demand forecasting and inventory decisions in supply chains, screening acquisition targets in strategy, and comparing investment cases in capital allocation.

The main risks are automation bias (trusting AI because it sounds confident), using AI on problems outside its capabilities, prompts that simply confirm what you already believe, biased or incomplete data, blurred accountability, and models that miss shocks with no precedent. Harvard Business School and BCG research found consultants using AI were 19% less likely to reach the correct answer on a task outside AI's capabilities.

There is no single best tool. AI assistants such as ChatGPT, Microsoft Copilot, Claude and Gemini suit framing problems and challenging assumptions; AI features in analytics tools help leaders question their own data; and decision intelligence platforms support recurring operational decisions. The decision, your data and your governance rules should choose the tool.

CEOs, CXOs, leadership teams, business unit heads and board members who make or approve significant decisions, ideally attending together so that the team agrees shared decision rights and habits.

Yes. 10X AI Leaders delivers instructor-led AI for executive decision-making workshops in person for organisations in any country, with live online delivery available where travel isn't practical. We are tool-neutral and work with the AI tools your organisation has approved.