GenAI in Business Strategy & Risk Management

GenAI in Business Strategy & Risk Management

CPD hours: 5.00

Course Overview

Use AI to think more strategically. This course shows how finance leaders can use GenAI to support long-term planning, evaluate investment risks, and enhance portfolio decisions. You’ll explore how AI can simulate scenarios like market shifts or supply chain disruptions, helping you make smarter decisions faster. Whether you’re assessing an acquisition or identifying competitive advantages, this course arms you with the practical skills to bring AI into the boardroom - linking data, strategy, and insight.

Learning Objectives
  • Build AI-powered models to forecast scenarios and assess market conditions.
  • Evaluate M&A, investment, and capital planning strategies using GenAI insights.
  • Apply AI simulations to identify and mitigate financial and operational risks.
Course Modules
  1. GenAI in strategic competitive analysis
  2. GenAI in strategic choice and evaluation
  3. GenAI in strategy execution and monitoring
  4. GenAI in risk identification and assessment
  5. GenAI in risk control and management

Discount for members

This course is discounted for ICAEW members. Login in the top right corner to update the price before adding to your basket.

Interested in the complete programme? Save more with our bundle option and get early access to all upcoming Accelerator courses.

If you'd like more information about enterprise pricing and rolling this out in your organisation, speak to our Academy team today.

GenAI Accelerator Programme Disclaimer

The GenAI Accelerator Programme by ICAEW is designed to educate professionals on generative AI in finance and accounting. This disclaimer outlines the programme’s scope, limitations, and responsibilities, emphasising that all content is for educational purposes only. Participants are advised to exercise independent judgement and follow relevant legal, ethical, and data protection standards when applying any concepts or tools discussed.

Click here to read the full disclaimer

Cost: £100.00
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