AI Business Consultancy Day | Manchester

Welcome and Introductions

Real-World AI Adoption: Lessons from the Frontline

In this candid session, Colin Goodbody of Bromford shares the organisation’s journey from fragmented legacy systems to an AI-enabled customer experience platform. Drawing on real-world lessons from a contact centre transformation delivered in just eight months, he explores how Bromford combined technology, process redesign and colleague adoption to reduce friction, improve insight and create better outcomes for customers and employees alike. Colin will discuss what worked, what they learned along the way, and how AI capabilities such as agent assist, automation and analytics are helping Bromford build a simpler, smarter and more scalable service model.

The Human Side of AI:  Change Management Fundamentals

Explore the human side of AI adoption, focusing on why successful transformation depends as much on people as technology. Examine why AI initiatives often fail without structured change management and learn how proven change management frameworks can be applied to AI, alongside insights into common employee mindsets such as fear of redundancy, lack of trust in AI, and skills anxiety. The session will also highlight the critical role of early engagement and transparent communication in building trust, reducing resistance, and driving meaningful adoption across the organisation.

Designing Your AI Adoption Strategy Around People

How to design a people-first AI adoption strategy that drives meaningful and sustainable change across the organisation. Explore how to build a structured adoption roadmap centred on employees, including identifying impacted roles and key personas to tailor approaches effectively. During this session you will learn how to create a skills and capability framework that supports workforce readiness, alongside a communication strategy designed to build trust and confidence in AI.

Overcoming Resistance to AI

This interactive session explores the challenge of overcoming resistance to AI adoption by inviting participants to share their own experiences with questions such as “What resistance are you seeing today?” and “How are you working to overcome this?”. Through open discussion, it surfaces common barriers and practical approaches, highlighting what has worked—and what hasn’t—across different organisations. The session encourages shared learning and reflection, helping attendees identify effective strategies to address resistance, build trust, and drive stronger engagement with AI initiatives.

Lunch and Networking

Building AI Skills, Culture and Leadership Capability

This session explores how organisations can build the skills, culture, and leadership capability needed to succeed with AI. It highlights the evolving skills landscape, emphasising the importance of AI literacy for all employees alongside the balance between specialist and generalist roles. The session also examines how to foster a culture of continuous learning, experimentation, and psychological safety to encourage adoption and innovation. Finally, it focuses on the critical role of leaders in role modelling AI usage and reinforcing desired behaviours, ensuring that capability-building efforts are embedded and sustained across the organisation.

AI Change Management in Practice

Explore how AI change management principles can be applied in practice through a detailed case study of a live AI adoption programme. Examine the framework used to shape and deliver the initiative, including how adoption barriers were identified and addressed, and how employee scepticism was transformed into advocacy. Learn how a simple four-step roadmap helped embed new behaviours and drive sustained adoption across the organisation. The session will conclude with practical guidance and a 90-day action plan that attendees can use to accelerate AI adoption within their own organisations.

Leading people through AI Change

This panel discussion explores how leaders can effectively guide their organisations through AI-driven change, addressing both the opportunities and the challenges involved. Panelists will share perspectives on the biggest mistakes organisations make when managing AI change, along with practical strategies for bringing sceptical employees on the journey and building trust. The conversation will also examine how to balance the pursuit of efficiency gains with maintaining a positive employee experience, ensuring people remain engaged and supported. Finally, the panel will look ahead to what the next 12 months may bring, offering insights into emerging trends and priorities for leaders navigating AI transformation.

Wrap Up and Close