AI for Investor Relations: from Insight to Implementation. Design It. Pitch It. Do It.

A pressure cooker masterclass to kick-start your AI strategy in Investor Relations. Leave with a plan that’s ready to launch.

1 half day virtual classroom - 3 March 2026
1 day in person session in Milan - 20 May 2026
1 hour coaching session on demand
 
Course overview
 
From automating reporting to uncovering insights in shareholder data, artificial Intelligence is transforming the way investor relations teams work. But where do you start, how do you implement safely, and how do you convince leadership?
 
This hands-on hybrid course is designed for IR professionals who want to move beyond theory.
 
Across three focused stages, you will learn to identify real AI opportunities, tackle security and compliance issues, and build a concrete, organization-ready project plan to ‘sell’ internally.
 

Session

Format

Duration

Focus

1

Online Prep Session
Full group

Half-day (Morning)

Outline of course. Orientation, readiness, and opportunity scanning & selection

 

Email

 

Return template

2

Face-to-Face Workshop

Full group + breakout workgroups

1 full day

Hands-on group work, application design, and feedback

3

Individual Coaching Session

Individual (1:1 coaching)

1 hour (online)

Personalized feedback and refinement of project plan

 
Who should attend
 
Investor Relations Managers, Corporate Communications Professionals, Financial Reporting Managers, and anyone tasked with innovation or digital transformation in the IR function.
 
Key Takeaways (Practical + Tangible):
 
  • Complete AI project plan, ready to present internally
  • AI readiness and risk assessment
  • Actionable checklist for secure, ethical implementation
  • Internal buy-in strategy and presentation framework
  • Personalised expert feedback on your plan
 
Learning outcome
 
By the end of the program, participants will:
 
  • Identify high-impact AI opportunities in their IR workflows (you will be asked to select 1 to work out)
  • Assess internal readiness and data maturity using provided templates
  • Design a practical AI implementation roadmap with risk and security considerations
  • Prepare a compelling internal business case for AI adoption
  • Leave with a ready-to-present AI project plan tailored to their organization
 
Bart Verhulst - SaaS Founder Investor Relations & Artificial Intelligence