AI-Driven Decision-Making for Managers
Corporate Training Courses Company

AI-Driven Decision-Making for Managers

Course schedule

Classroom Training:
DateVenueDurationPrice
25 - 29 May 2026London5 days£4,995
3 - 7 Aug 2026London5 days£4,995
19 - 23 Oct 2026London5 days£4,995
1 - 5 Jun 2026Paris5 days£4,995
29 Jun - 3 Jul 2026New York5 days£4,995
27 - 31 Jul 2026Singapore5 days£4,995
24 - 28 Aug 2026Barcelona5 days£4,995
28 Sep - 2 Oct 2026Paris5 days£4,995
26 - 30 Oct 2026New York5 days£4,995

Please note: prices shown above are exclusive of VAT (20%).

If you don’t see your preferred course date, please contact us.
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Course Overview

This course explores how AI supports evidence-based managerial decision-making. Delegates study data modelling, scenario planning, and algorithmic insights. Participants learn to interpret and validate AI outputs. The programme equips managers to balance human judgement with technological intelligence.

Who Should Attend

Managers and analysts applying AI insights to support data-driven strategic decisions. Past delegates have included:

  • Operations Managers
  • Strategy Analysts
  • Decision Scientists
  • Planning Officers
  • Business Intelligence Managers

Course Outcomes

  • Use AI tools to enhance evidence-based management decisions.
  • Interpret predictive and prescriptive analytics for strategic planning.
  • Balance human judgment with machine intelligence in critical decision areas.
  • Assess bias, fairness, and transparency issues in AI-driven models.
  • Develop managerial dashboards for continuous AI-assisted performance monitoring.

Course Topics

Managerial Analytics with AI

  • Leverage AI analytics to enhance strategic decision-making.
  • Integrate predictive and prescriptive analytics in management dashboards.
  • Interpret AI outputs to support evidence-based leadership decisions.
  • Assess ethical and governance considerations in managerial AI use.

Scenario Planning and Forecasting

  • Use AI to simulate multiple business scenarios and outcomes.
  • Model predictive forecasting using large-scale datasets.
  • Develop dynamic dashboards for data-driven planning.
  • Incorporate AI insights into enterprise risk management frameworks.

AI Applications Across Business Functions

  • Identify applications of AI across finance, HR, and operations.
  • Explore cross-functional efficiencies through AI systems.
  • Assess integration challenges in multi-departmental AI initiatives.
  • Develop strategies for scaling AI across enterprise functions.

Data-Driven Decision-Making with AI

  • Use AI-powered analytics for faster, informed decision-making.
  • Apply machine learning models for predictive and diagnostic purposes.
  • Enhance visualisation and performance tracking through AI dashboards.
  • Implement frameworks for continuous AI-driven improvement.

Ethical AI and Responsible Innovation

  • Understand the global standards for ethical AI innovation.
  • Apply fairness and inclusion principles in AI design.
  • Evaluate governance frameworks supporting responsible AI use.
  • Promote transparent and sustainable AI innovation practices.

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