AI Is Changing Communications Compliance: What Leaders Need to Know

Hello and welcome back to UC Today. For years, communications compliance has meant one thing: monitoring what people say. Emails, chats, calls, meetings — all captured, supervised, and retained because a human being produced them. But that definition is already out of date. Co-pilots are drafting responses. Meeting assistants are generating summaries and action items. Recommendation engines are shaping decisions before a person even weighs in. None of that fits neatly into the old model of communication surveillance, and compliance teams are having to work out, often in real time, whether it needs to. To talk through what this shift actually means, I'm joined by SVP and GM of Arctera and Enterprise Bolt, Sonia Bache. Sonia, thank you very much for joining us today. Thanks, Marcus. Glad to be here. Really looking forward to this conversation. Let's start, if it's okay, Sonia, with where this is actually showing up. Where are organizations already encountering AI generated content within regulated communications workflows? We are already seeing AI now becoming embedded in regulated communication workflows because it's becoming a part of how the work gets done. Now employees, as you mentioned, using AI to draft their emails, summarize meetings, generating various reports, and really at times responding to customers across various communication platforms. At the same time, compliance teams are using AI to identify potential risks, prioritize communications for review, and accelerate the overall investigations of the workflows. What's important is that AI isn't replacing governance. It's truly raising the standard for it. What I mean by that is in highly regulated industries like financial services, healthcare and the public sector, organizations still need to retain communications, demonstrate oversight and respond to regulators with confidence. As AI becomes another participant in business communications, those AI assisted interactions need to be governed with the same rigor as any other business records. So those that succeed will be the ones that combine AI innovation with trusted governance. Thank you, Sonia. I think from that answer it's clear that this isn't just a hypothetical future problem. It's one that's live in workflows today. So given that, how does AI change the way organizations need to think about compliance, supervision, and recordkeeping? Yeah, I think that landscape is now drastically shifting, or I should say AI is changing the way organizations think about compliance, communication, surveillance and in general the record keeping because it's becoming an active participant in everyday business processes. Organizations are no longer just governing human generated communications but they also need to govern AI assisted and AI generated content that influence business decisions, and that's very important because that means compliance is evolving beyond capturing and retaining records to ensure information is trusted, transparent and explainable throughout its life cycle. But governance is no longer about preserving the past. It's truly now becoming building the trust in how decisions are being made. And that's very critical. Now, what we're talking about here raises a question that a lot of compliance leaders are wrestling with right now. So why are AI prompts, responses and recommendations increasingly being viewed as business records in their own right? Yeah. I would say that we are entering into an era where AI isn't just creating the content, it's participating in the business processes. As I said, when an AI generated email or a report or a recommendation or even a customer response influences a business decision, it becomes part of the organization's corporate record because you have exchanged some meaningful information through AI. Now organizations need to be able to retain, explain how it was created and demonstrate compliance if regulations or a court ask questions later. The moment AI generated content influences a business decision, it truly stops being just an AI output. It becomes a business record that needs to be governed. And it's truly an important step now in the era where a lot of communication platforms are generating volumes of data. This governance is extremely critical. Off the back of that, Sonia, it's a really excellent point. Why is end-to-end visibility across collaboration platforms and AI tools becoming so critical? Yeah. With AI in general, the technology industry has gone through profound transformation, right? The workplace has fundamentally changed. Business decisions no longer happen in just email. They happen across various collaboration platforms — just in our day-to-day life, right? We use many collaboration platform tools like Google Chat, Slack, emails. It's a very comprehensive tool set that we are using in our day-to-day life. Now, as communication becomes more distributed, organizations need a unified view of their business information to manage the risk consistently. And without that visibility, they create blind spots that increase compliance, legal, and security exposure. Now, you can't govern what you cannot see. And in today's digital workspace, visibility is the foundation of compliance. On the back of that, as you've just rightly touched on, visibility is so important, but a lot of organizations are still thinking of compliance today as very much a capture and retention exercise. You know, get everything, keep everything, and then you're covered. Why is that approach no longer sufficient on its own? Look, I think capture and retention workflows do remain the foundation of compliance, but they are no longer sufficient on their own. AI is dramatically increasing both the volume and complexity of business information. So organizations also need to understand, classify and govern that information intelligently. I feel that the future of compliance is not about just preserving those records. It's about making information actionable, defensible and trusted. Capture and retention preserve information, but intelligence turns it into insight, and that's very critical. Now, there's often an assumption that when it comes to governance and innovation, that they're diametrically opposed — they pull in opposite directions. That more oversight means slower AI adoption. How does strong information governance actually accelerate AI adoption rather than slowing it down? Yeah, great question. How many times we come across this question and read many articles around that, right? But I think the biggest barrier to AI adoption isn't the technology. It's truly the trust and the confidence along with it. Organizations need confidence that AI is using the right information, it's producing reliable outcomes and operating with clear business and regulatory boundaries. That's exactly what governance provides. It establishes the policies, oversight, transparency, and accountability that allow organizations to innovate without increasing risk. AI moves at the speed of innovation, but governance ensures it moves with confidence. So for my final question, Sonia, I'd love to bring it back to what people watching this should do with all of this really valuable information. So what practical steps should compliance, IT and collaboration leaders be taking today to prepare for AI-driven communications? As I said earlier, I think we are really moving fast in the current technology landscape with AI. But the most successful leaders are shifting their mindset from governing communications to governing information. And that starts with understanding where AI is being used, ensuring communications across every collaboration platform are consistently governed, and establishing clear policies for AI generated content. Just as importantly, organizations need to build transparency and accountability into AI from the beginning rather than trying to add a governance layer on top of it later. The organizations that will lead in the AI era isn't the ones taking the biggest risks. They are the ones building the strongest foundation of trust and governance. Well, fantastic, Sonia. That's all the time we have for this interview. Really appreciate your insights. Thank you very much for joining us on UC Today. Thank you, Marcus. So, if you're watching this video and thinking about where AI is already showing up in your own collaboration environment, we've got a follow-up conversation with Sonia on what building an AI governance strategy actually looks like in practice, starting with where organizations should focus first. That's here on UC Today. We'll see you there. I again smoothed a handful of filler words and repeated syllables for readability — let me know if you'd rather have the verbatim version with disfluencies kept in.