The communications supervision market has matured fast, and AI has accelerated that significantly. There are more credible options available to regulated firms than ever before. Making the right choice comes down to knowing what to look for. But evaluating these options is not a simple, straightforward process, and the final decision is a vital one.
Here are four questions that will help you go into the process informed and come out with the right fit.
1. How Was Your Model Trained?
This is one of the most important questions a firm can ask, and one of the most frequently overlooked.
AI models are shaped by what they were trained on. A model built natively on years of regulated financial communications will understand that context in a way that a general-purpose model, retrofitted for compliance after the fact, simply cannot. The nuance of how registered representatives communicate, how market-sensitive language appears in context, how relationships evolve across a conversation history—none of that comes from a model that learned compliance as an afterthought.
Key questions: Ask vendors to be specific: how much data, from what context, and over what time period.
2. How Does Your System Go Beyond Keyword Matching?
Keyword matching has been the foundation of communications supervision for years, but it has a significant limitation: it flags the word, not the intent.
Consider a simple example. The oft-used phrase “let’s take this offline” is entirely unremarkable in most professional exchanges. In the context of a conversation where a potential conflict of interest has already surfaced, it reads very differently. A keyword-based system treats both identically. A contextually aware system does not.
Key Questions: Ask vendors how their model interprets the relationship between messages, the history behind a conversation, and the intent a reasonable reviewer would infer.
3. What Does Alert Reduction Look Like in Practice?
Supervision alerts are sometimes misunderstood. The majority of flagged communications will not represent genuine violations, and that is entirely expected. Surfacing communications for review is how supervision is supposed to work.
What matters is whether the system helps reviewers focus on the communications most worthy of their attention. A system that surfaces thousands of alerts of roughly equal weight makes that task harder. A system that ranks alerts by risk, with the context to support that ranking, makes it significantly easier.
Key questions: Ask vendors for real numbers from real deployments and ask how alerts are determined before they are presented to reviewers.
4. How Do You Ingest and Apply My Firm’s Compliance Policies?
Off-the-shelf supervision rulesets are designed for the broadest possible application, which means they rarely reflect how any individual firm really operates. Your policies, your risk appetite, your specific obligations under your compliance program—these are particular to your firm.
Key questions: Ask vendors whether they can ingest your actual compliance policies and enforce them as written, and whether updates to your program are reflected in the system without requiring lengthy reconfiguration.
Focusing on What Matters
Asking these questions early helps businesses move past surface-level comparisons and focus on what matters in practice. As regulatory obligations continue to evolve, the right fit is worth the due diligence.
Jamie Hoyle is SVP, Product at RedOak/MirrorWeb. The two companies combined in 2026 to deliver one platform for governing the full regulated communication lifecycle. Jamie joined MirrorWeb as Lead Software Engineer in 2017, eventually transitioning to Product and spearheading the development of their flagship communications supervision platform, MirrorWeb Insight.
In 2024, Jamie relocated to Austin, Texas to embed himself in the heart of the US compliance landscape and stay close to the customers shaping the future of digital communications oversight.