The Next AI Governance Challenge
The Next AI Governance Challenge
/blogs/authors/soniya-bopache

Soniya Bopache

SVP and GM of Arctera

2026-07-21T00:00:00.000Z
eds-arctera:tags/arctera,eds-arctera:tags/data-compliance

The Next AI Governance Challenge: Can You Prove What Happened?

Every executive I talk to is thinking about AI. How fast can we move? Where can it create value? How do we give teams room to innovate while keeping the business protected?

Those are the right questions. But for regulated organizations, there’s another question moving up the priority list:

Can we show what happened when AI was used?

"Prefer to listen? This topic is also featured on Risk & Reason, Arctera’s podcast on the risks shaping compliance decisions. Listen to the episode on why AI communications governance is moving from policies to records — and what Compliance teams may need to show when AI-assisted communications are questioned."

Listen to the Risk & Reason episode:

https://www.youtube.com/watch?v=ylW8fSjiGwU

That question is at the heart of our new "State of AI Governance 2026" report, based on a survey conducted by Hanover Research, which aimed to benchmark how regulated organizations are governing and defending AI-assisted communications and decisions.

We commissioned this research because we believe the AI governance conversation has been missing a critical layer. There’s a lot of discussion about models, policies, productivity, and responsible use. There’s far less discussion about what happens when AI-assisted content enters the communications, records, reviews, investigations, and decision workflows that regulated organizations already have to manage.

That’s our lane. AI communications governance is becoming central to how organizations manage risk, preserve trust, and move forward with confidence.

The findings point to three critical points every executive should have on their radar.

1. AI-assisted communications are already part of regulated work.

AI is no longer on the periphery; it is now woven into workflows like drafting responses and summarizing meetings. The research found nearly three quarters (71%) of organizations are using AI in regulated tasks, meaning AI governance must extend to the workflow level. This is essential to ensure evidence follows content across every channel, from email to enterprise archives.

2. Policies do not always create the records teams need.

A policy can tell employees how AI should be used. It does not automatically create the record Compliance needs to show what happened. The research found that while more than half (55%) have the core AI policies, training and review steps in place, fewer than one in five (19%) have the logging, retention, detection and scoring controls needed to show what happened. Effective AI governance requires moving beyond policy to proof. When AI-assisted communications are questioned, organizations must be able to reconstruct what happened—who reviewed it, where it went, and how it was retained—across every system.

3. Investigations are hard when records are scattered.

The true test of AI governance is whether your organization can reconstruct the audit trail when questioned. Can you connect the prompt, output, and review history across systems? Strengthening AI communications governance means leveraging enterprise archives as a foundation for investigation readiness, ensuring you can defend AI-assisted work with confidence.

To advance AI governance, executives should consider five questions.

AI creates a powerful opening for regulated organizations. It can help teams work faster, serve customers better, find insights sooner, and make smarter use of enterprise information.

The organizations that lead will be the ones that build trust into the way AI-assisted work is governed.

A practical starting point is to ask five questions:

These questions help leaders move from AI ambition to AI confidence.

The next phase of AI governance will be defined by the ability to show how AI-assisted work was governed, reviewed, retained, reconstructed, explained, and produced when questions arise.

That’s the shift ahead for regulated organizations. And it’s why AI communications governance deserves a seat at the executive table.

To explore the research further: