As AI agents become increasingly capable of coordinating tasks, making decisions and working across departments, businesses face a fundamental challenge: how should they organise and manage a workforce where humans and intelligent systems collaborate?
Traditional organisational structures were designed around people, departments and clearly defined responsibilities. But as autonomous AI agents take on more complex tasks, these established models may need to change. From accountability and leadership to employee skills and performance measurement, the rise of agentic AI is forcing business leaders to rethink how work gets done.
In this episode of the Silicon UK AI for Your Business Podcast, David Howell, Editor-in-Chief of Silicon UK, is joined by John Michaelides, Senior Principal at Slalom, to explore how businesses can successfully integrate AI agents into their teams while maintaining human oversight, trust and accountability.
The conversation examines whether outcome-focused teams could replace traditional departmental boundaries, how managers’ responsibilities may evolve, and what new skills employees will need to thrive alongside AI colleagues. They also discuss the practical steps organisations can take to introduce agent-led workflows without creating uncertainty or undermining employee confidence.
As businesses move towards a future where people and AI agents share responsibility for delivering results, is the traditional organisational chart becoming obsolete?
Listen now to discover how business leaders can prepare their organisations for the next evolution of work.
John Michaelides, Senior Principal, Slalom.
John has 30 years of consulting experience across private and public sectors. A recognised leader in ethical, privacy-led data use, John holds credentials as a Certified GDPR Practitioner, Chartered Engineer (CEng), and Chartered IT Professional (CITP). He earned his MEng (Hons) in Computing from Imperial College London and is a member of the British Computer Society.
John specialises in data privacy, security, and ethics, with particular expertise in data and AI governance. His impressive portfolio includes developing enterprise data and AI policies, standards and controls for global pharmaceutical and insurance companies, conducting InfoSec assessments, and creating comprehensive data strategies that balance innovation with regulatory compliance.
As an experienced delivery leader and Agile coach, John has guided organisations through complex data challenges, including GDPR implementation and remediation projects involving millions of healthcare professional records across multiple jurisdictions. His approach combines technical expertise with strategic vision, helping clients establish robust data governance frameworks while fostering a modern culture of data that prioritises both security and ethical considerations.