Developing Executive Leadership through AI

15 - 19 Nov. 2026

London - Fees : 6200

Enable senior leaders to translate strategy into AI-powered results—making faster, clearer decisions, building resilient operating systems, and modeling ethical, accountable use of AI across the enterprise.

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15, Nov 2026
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Developing Executive Leadership through AI

15, Nov 2026
London
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Details

A practical, executive-focused program that fuses leadership craft with modern AI. Participants learn to turn fragmented signals into decision intelligence, shape portfolios of AI initiatives, and run an operating cadence where AI augments judgment without diluting responsibility or trust. The outlines emphasize board-ready communication, foresight, culture building, and rigorous governance.

Target Group

Target Group

  • C-suite and business unit leaders
  • Directors and senior managers leading transformation or large portfolios
  • PMO and strategy leaders accountable for benefits realization
  • Finance, operations, and commercial heads driving performance
  • HR/talent leaders shaping capability and culture for AI
  • Risk, compliance, and data/AI leaders enabling responsible scale

Goals

  • Link enterprise priorities to AI opportunities with measurable value, risk, and time-to-impact
  • Design decision workflows that combine human expertise, scenarios, and AI analysis
  • Build an operating cadence that surfaces leading indicators, interventions, and learning
  • Communicate strategy and change with concise, data-backed narratives and visuals
  • Strengthen culture, capability, and psychological safety for responsible AI adoption
  • Establish governance for data quality, model validation, security, and auditability

Target Competencies

Target Competencies

  • Strategic framing and value mapping for AI initiatives
  • Executive decision design with scenarios, options, and risk signals
  • Operating cadence and performance leadership
  • Data-informed storytelling and stakeholder influence
  • Culture building, change leadership, and psychological safety
  • Governance, security, data quality, and model risk oversight

Outlines

Strategy-to-Value with AI

  • Mapping value levers where AI moves revenue, margin, risk, and experience
  • Market and customer sensing turned into options, hypotheses, and bets
  • From pilots to platforms: portfolio criteria, sequencing, and scale economics
  • Executive guardrails for accountability, approvals, and decision rights
  • Quick-win playbook with baseline KPIs and benefit tracking

Decision Intelligence & Board-Ready Briefing

  • Framing critical decisions with assumptions, thresholds, and confidence cues
  • Scenario building for demand shifts, cost shocks, and regulatory change
  • Evidence packs: dashboards, narratives, options, and trade-offs
  • Bias awareness and explainability practices for executive reviews
  • Leadership lab: drafting a decision brief that prompts action
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