December 10, 2025 - 4 min read
Supervising AI Without Starting Over

Shilo Thomas
Product and Solutions Marketing, Data Compliance
Compliance leads: You already supervise human conversations. Emails. Chats. Calls. All captured, monitored, and archived under books-and-records requirements.
Now there’s a new participant in those conversations: AI.
Copilot, ChatGPT, and every generative model your teams use to draft, summarize, or suggest is now part of your firm’s communication footprint, and therefore your regulatory exposure.
But that doesn’t mean you have to rebuild your supervision stack to handle it.
AI in the Communications Stack
Generative AI isn’t an external tool anymore. AI is embedded across the platforms your employees use daily: Teams, Outlook, Slack, Zoom. Every prompt, response, and summary it generates is a form of communication data.
The challenge is simple but serious: How do you capture and supervise that data before regulators, auditors, or courts start asking for it?
Regulators are already signaling that AI-generated communications fall under the same books-and-records obligations as email or chat.
For the legal and regulatory backdrop, read our previous post: Making AI Influence Defensible in Audits & Discovery
That precedent changes everything. If your employees use AI tools to generate client communications, those AI generated communications are now subject to the same scrutiny as any other regulated message.
From Off-Channel to On-Record
At enterprise scale, AI isn’t dabbling in communication; it’s generating it. Firms processing 50 million tokens per month are effectively handling the equivalent of 25,000 emails per day or 600 books worth of content every month.
Those are communications volumes that regulators already expect you to govern. And while AI output may look like automation, it’s actually dialogue—context, intent, and instruction that can influence decisions. If it’s shaping what your organization says or does, it’s part of your records.
The Good News: Your Existing Framework Works
You don’t need to rip and replace your compliance systems to bring AI under supervision. You just need to extend the controls you already trust.
“For those of you already leveraging the Insight platform, we will bring the opportunity to capture both Copilot data and OpenAI data. We already have a framework inside our tool to ingest it and preserve it.”
— Irfan Shuttari, GITEX 2025

Arctera Insight captures, indexes, and monitors AI-generated communications alongside email, chat, and voice, giving you a unified, defensible governance view.
That means you can:
- Ingest prompts and responses from enterprise AI systems.
- Apply surveillance policies the same way you do for human communications.
- Retain and produce records instantly for discovery or audit.
- Prove governance with full lineage and audit trails.
All without creating a separate system for AI.
Governance in Action
When regulators ask how your firm governs AI, the answer shouldn’t be a future plan. It should be demonstrable today.
Arctera Insight turns that conversation from theory to evidence:
- Capture Copilot and OpenAI data via native APIs.
- Apply policy-based retention and supervision rules.
- Search, audit, and export with the same speed and defensibility as any other communication channel.
Compliance doesn’t need a new platform. It needs continuity. That’s how FS firms can extend supervision to AI without starting over.
See how Arctera Insight captures, indexes, and supervises AI communications—alongside every other channel you govern.
Accelerating Investigations with Arctera Insight demo:
Next Step
If your supervision program is ready to include AI, you don’t have to start over — you just need the right foundation.
Explore how Arctera manages AI data, models, and compliance — responsibly, transparently, and at enterprise scale.