Doing More With Less

As Tools for Modern Privacy Teams

Privacy teams are being asking to do more than ever before.

More regulatory change. More internal stakeholders. More data. More risk. More urgency.

And all of it with the same - or often fewer - resources.

As a result, privacy leaders are turning to AI and automation to scale their programs, accelerate response times, and reduce operational burden. From data mapping and DSAR handling to risk assessments and policy documentation, AI is increasingly being explored as a force multiplier for modern privacy operations.

But adoption is uneven.

Some use cases are delivering real productivity gains. Others are introducing new risks, blind spots, or governance challenges. And in many areas, human judgement remains not just important - but essential.

Join a select group of privacy leaders in New York City for a private, closed-door dinner discussion on how AI is actually being used inside modern privacy teams today - what is working, what is not, and what responsible adoption really looks like in practice.

Dinner Discussion Topics

1. Where AI Actually Delivers Value

Where has AI meaningfully saved your team time, cost, or headcount - and where has it failed to meet expectations?

2. Automation vs Human Judgement

Which privacy workflows are you comfortable automating today, and which still absolutely require human involvement? Why?

3. Governing AI Tools Themselves

How do you evaluate and govern AI tools from a privacy risk perspective, especially when those tools process personal data?

4. What Has Really Changed?

What has changed most in your privacy function over the 12-18 months - and how much of that change is driven by AI versus broader regulatory or organizational pressure?

5. Building a Privacy Function From Scratch

If you were starting a privacy function today with limited resources, where would you deploy AI first - and where would you be most cautious?

AI is Changing Privacy Operations  - But Not Replacing Judgement

AI is already reshaping how privacy teams operate. But the most effective teams are not those that automate everything.

They are the ones that understand where AI adds leverage - and where human oversight remains essential. 

Join your peers in New York City for a focused, practical discussion on how privacy teams are really using AI today.

Request your invitation below.