Leading Human/AI Workforce: Humans First, AI Second

  • Start date: 22 Oct 2026
  • Duration: 2 Days
  • Location: IMI Campus, Dublin
  • Investment: €1499
  • Open

Course Overview

Work out where digital workers fit, what they should handle, and how to manage them properly.

Most organisations are somewhere in limbo between informal AI use and widescale operational adoption. Tools are being tested and workarounds are appearing, while senior leaders are asking what can be handed over, what still needs human judgement, and where the actual value sits.

PwC found that 79% of companies say AI agents are already being adopted, while McKinsey reports that 62% of organisations are at least experimenting with them. In Ireland, PwC found that 70% of organisations plan to increase AI-related budgets, but only 9% report broad adoption.

That leaves many managers in an awkward position. They are expected to make sensible decisions about where AI fits in workflows and teams, but often without a clear framework for doing it.

This two-day programme is designed to solve that problem. Participants work through their own business context, identify where digital workers could take on useful work, build working examples in a guided lab, and develop a practical plan for how people and digital workers should operate together.

Just for your team

Every programme in our full suite of short programmes can be delivered exclusively to your staff. If you have 10 or more participants for a specific programme, we can partner with you to deliver it on our campus or at a location of your choice.

Talk to us about your requirements today

Programme Highlights

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Find the work that is worth handing over
Use a structured framework to identify and prioritise work that suits a digital worker in your team or function, rather than guessing where AI might help.
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Build working examples during the programme
Participants build digital workers in a guided IMI lab across three practical areas: decision support, knowledge management, and workflow orchestration.
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Decide where people need to stay involved
Work through review points, escalation, accountability, and handoffs so the design works in practice, not just on paper.
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Leave with something useful back at work
Participants leave with a clear starting point for internal decisions, working examples they can show and test, and a practical 90-day plan for putting digital workers to work in a controlled way.

Programme Faculty

Matthew Atherfold has more than 20 years of international experience spanning HR technology, SaaS, FinTech, and enterprise systems. His work focuses on helping organisations prepare for AI, with particular expertise in the future of work. He supports senior leaders in areas such as AI strategy, operating model development, and data-driven decision-making. He is also the founder of Future Academy, an initiative dedicated to equipping the next generation of leaders with practical, applied AI capabilities.

 

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