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In Person Event

MineOS Doing More With Less: AI Tools for Modern Privacy Teams

London
18:30 - 21:30 GMT25.02.26

Scaling Your Privacy Program Without Compromising Judgement

Location: The Beaumont, London

 

Privacy teams face growing expectations: respond faster, manage rising regulatory complexity, and scale operations - all with limited resources.

This invitation-only, in-person dinner brings together senior privacy and GRC leaders and to share practical, real-world strategies for using AI and automation responsibly. From data mapping and DSARs to risk assessments and documentation, learn what works, where human judgement is still critical and where AI can introduce new risks if applied carelessly.

Expect candid conversations, actionable insights, and lessons you can apply immediately to your privacy program.

 

Key Discussion Topics:

Participants will explore how AI can help privacy teams:

  • Streamline privacy operations while maintaining compliance
  • Automate repetitive workflows without sacrificing quality or oversight.
  • Evaluate and govern AI tools safely when handling personal data.
  • Identify where AI delivers real productivity gains - and where human judgement remains essential.
  • Balance efficiency, risk management, and regulatory obligations in a modern privacy function.

 

Questions for Discussion

  • Where has AI actually saved your team meaningful time or headcount - and where did it fall short?
  • Which privacy workflows can you confidently automate, and which require human oversight? Why?
  • How do you evaluate and govern AI tools from a privacy risk perspective?
  • What operational changes over the past 12-18 months have been driven by AI versus other pressures? 
  • If building a privacy function from scratch with limited resources, where would you deploy AI first - and where would you be most cautious?

 

Request an Invitation

This is a private, invitation-only event.

Join your peers to explore how AI can help your privacy team do more with less - without compromising compliance or human judgement.

AI Automation
AI Compliance