Leveraging AI for Business Success

Leveraging AI for Business Success

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.

Course Overview

Delegates examine how AI can transform organisational culture and performance. The course covers AI strategy, change management, and workforce adaptation. Participants learn to foster ethical and human-centred AI adoption. The programme equips leaders to create innovative, future-ready organisations.

Who Should Attend

Business leaders and strategists leveraging AI for organisational growth and competitive advantage. Past delegates have included:

  • Business Strategists
  • Innovation Managers
  • Operations Directors
  • AI Consultants
  • Transformation Leads

Course Outcomes

  • Identify key business problems solvable through AI and data science.
  • Assess ROI potential and performance impact of AI-enabled solutions.
  • Integrate machine learning models into business decision-making processes.
  • Develop practical frameworks for AI deployment and scaling.
  • Promote a culture of innovation and continuous learning through AI adoption.

Course Topics

Value Realisation from AI Initiatives

  • Define success metrics and KPIs for AI project evaluation.
  • Measure ROI and business impact from AI transformation programmes.
  • Develop frameworks for sustaining long-term AI value creation.
  • Communicate AI achievements across strategic stakeholder groups.

Scaling AI Use Cases

  • Design governance frameworks to scale AI across departments.
  • Assess resourcing and training requirements for AI maturity.
  • Leverage best practices from enterprise-level AI deployments.
  • Promote cross-functional collaboration in scaling AI systems.

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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