Artificial Intelligence for Business Strategy

Artificial Intelligence for Business Strategy

Course schedule

Classroom Training:
DateVenueDurationPrice
20 - 24 Apr 2026London5 days£4,995
6 - 10 Jul 2026London5 days£4,995
21 - 25 Sep 2026London5 days£4,995
18 - 22 May 2026Riyadh5 days£4,995
15 - 19 Jun 2026Dubai5 days£4,995
13 - 17 Jul 2026Cape Town5 days£4,995
10 - 14 Aug 2026Istanbul5 days£4,995
14 - 18 Sep 2026Riyadh5 days£4,995
12 - 16 Oct 2026Dubai5 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 gain practical skills in drafting, negotiating, and managing oil and gas contracts. The course covers contract types, risk allocation, and dispute resolution. Participants examine commercial and legal issues unique to the sector. The programme equips professionals to manage contracts that ensure compliance, performance, and profitability.

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

  • Integrate AI capabilities into corporate and functional strategies to create competitive advantage.
  • Assess market trends and organisational readiness for AI adoption.
  • Evaluate ethical, operational, and governance implications of AI-driven decisions.
  • Design a roadmap for AI-enabled transformation across business units.
  • Measure business value and ROI from strategic AI investments.

Course Topics

Introduction to Artificial Intelligence

  • Understand AI principles and types across industries.
  • Identify opportunities and challenges in AI adoption.
  • Evaluate emerging AI technologies and their impact.
  • Discuss the ethical, legal, and social implications of AI.

AI in Decision-Making

  • Apply AI insights for operational and strategic decisions.
  • Integrate predictive analytics to improve decision outcomes.
  • Use AI for scenario modelling and data interpretation.
  • Manage biases and transparency issues in algorithmic decisions.

Ethical AI and Governance

  • Implement frameworks for responsible and transparent AI use.
  • Identify ethical risks associated with automated decision systems.
  • Design governance models ensuring fairness and accountability.
  • Promote stakeholder confidence in ethical AI implementation.

AI-Driven Business Strategy

  • Understand how AI enables business model innovation and competitive differentiation.
  • Analyse the strategic implications of AI adoption across industries.
  • Develop frameworks for integrating AI within corporate planning and growth strategies.
  • Evaluate case studies on successful AI-led business transformations.

AI Integration and Change Management

  • Identify enablers and barriers to AI integration within organisations.
  • Design structured change management approaches for AI transformation.
  • Develop communication and stakeholder engagement plans for AI initiatives.
  • Assess readiness and maturity for AI adoption at enterprise level.

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