Table of Contents
When a regulator asks why a specific message was cleared rather than escalated, "the AI decided" isn't sufficient. For most supervision systems, it's also the most honest answer they could give. Mira is MirrorWeb's AI supervision agent, built natively on a decade of regulated communications data. Every decision it makes comes with a plain-language rationale tied to your firm's own compliance logic, the explainability that turns a black box into a documented record that holds up when an examiner asks why.
Every decision Mira makes - not just the alerts that reach a human reviewer but every message it filters automatically - is logged with its full rationale. The specific factors evaluated. The compliance logic that governed the outcome. If an examiner asks about a communication your team never saw, the record already exists, created at the point of decision rather than reconstructed after the fact.
What a Defensible Record Looks Like
Sampling was never a compliance strategy, it was a concession to volume. When supervision tools could only review a fraction of communications, firms accepted the gap and hoped it didn't matter. Mira reviews every message, which means the record is complete. There are no gaps for an examiner to find.
When Mira sends an alert for human review, it arrives with a specific explanation: which risk indicators were detected, which regulatory concerns apply, and what made automated resolution inappropriate. Your reviewers understand what they're being asked to judge before they open the message.
When a message is filtered without escalation, that decision is documented too. Not just that it was cleared, but why: the matching factors, the logic behind the outcome. The explanations are written in plain language, traceable to your firm's own compliance policies. Not cryptic outputs. Notes from a knowledgeable colleague: "Filtered as routine internal communication based on sender, recurring weekly pattern, and 12-week history of identical cleared messages."
Nothing disappears. Every alert, every decision, every override stays accessible and exportable when a document request arrives.
Where Rep-Centricity Makes the Record Richer
A supervision system that evaluates each message in isolation produces thinner explanations. The message either matches a rule or it doesn't. Mira builds a longitudinal picture of each advisor over time, so when it makes a decision, there is more context behind it and more to put in the record. The same message looks different depending on who sent it, their history, and your firm's own standards. Mira understands that distinction and documents why it treated them differently.
That context is what separates a compliance record that satisfies an examiner from one that raises more questions than it answers.
Bulk Actions Don't Dilute Accountability
Processing thousands of messages in a single operation doesn't mean losing the individual record. Each message in a bulk action maintains its own audit entry, explaining not just that it was grouped with similar items, but specifically why: same sender, matching subject pattern, part of the same thread. Scale doesn't thin the documentation.
When volume is high, it could be tempting to accept less precision in exchange for speed. That trade-off is where compliance programs become vulnerable. A record that explains every decision individually, regardless of how many were processed at once, is one that holds up under scrutiny rather than inviting it.
Ready Before the Request Arrives
In its 2026 examination priorities, the SEC stated it will examine whether firms have adequate policies to supervise their use of AI, and will review the accuracy of any claims firms make about their AI-powered tools. Decisions must be explainable, not just effective.
With Mira, that answer is already built. Every decision in the review period is logged, timestamped, and exportable. There is no reconstruction, no scrambling to explain a process after the fact. The documentation exists because it was created at the point of every decision, not in response to the request.
When the examiner asks, the answer is already in the record.
