What meeting intelligence tool actually works for finance compliance?

I've been tasked with evaluating meeting intelligence tools for a specific, high-stakes use case: finance compliance. This isn't about fluffy productivity gains or finding action items. We're talking about regulated environments—think SEC, FINRA, MiFID II. The requirement is to generate an immutable, searchable, and auditor-friendly record of discussions, decisions, and commitments made in meetings, with a clear chain of evidence.

I've trialed or deeply researched a bunch of players in this space, including the forum's namesake, Read AI, along with Otter, Fireflies, Gong, and even some custom-built solutions using Whisper APIs. Most fail the compliance-grade test. They're great for sales teams to replay calls, but they fall short when you need to prove, beyond a doubt, who said what and when, and to have that transcript locked down.

Here's my blunt breakdown of what *actually* matters and where the tools typically fail:

* **Speaker Diarization Accuracy is Non-Negotiable:** In a compliance investigation, if you can't accurately and consistently attribute every sentence to the correct individual, the transcript is useless. Most consumer tools are mediocre at this, especially with cross-talk or remote participants with varying audio quality. You need a tool that allows you to pre-register speaker profiles and has a very high confidence threshold.
* **Immutable Audit Trail:** The raw audio/video file, the transcript, and any metadata (participant list, meeting ID, timestamps) must be cryptographically linked. Any edits (like redacting PII) must be logged as a new, derivative artifact with a full change log. Many SaaS tools just give you an editable text file—that's a compliance nightmare.
* **Integration with Secure Storage:** The output cannot live solely in the tool's cloud. It must automatically export to and trigger retention policies in your compliant storage (e.g., an S3 bucket with object lock, governed by Terraform). The workflow should be automated and invisible.
* **Keyword & Concept Flagging:** It's not enough to search. The tool should proactively flag potential compliance-related phrases ("off-channel communication," "guaranteed returns," "material non-public information") for immediate review by the compliance team.

Based on this, my current stance is that a pure "out-of-the-box" SaaS tool is insufficient for hardcore finance compliance. You likely need a hybrid approach. For example, using a highly accurate transcription engine (like AWS Transcribe with custom vocabularies) piped into your own infrastructure, where you manage the audit trail and storage.

A simplified, conceptual workflow we built for a client looked something like this (names anonymized):

```hcl
# Terraform snippet showing the locked-down pipeline resources
resource "aws_s3_bucket" "compliance_audio_landing" {
bucket = "comp-audio-landing-${var.env}"
object_lock_enabled = true

lifecycle_rule {
id = "glacier-30day"
enabled = true
transition {
days = 30
storage_class = "GLACIER"
}
}
}

# Event triggers transcription job, output to another locked bucket
resource "aws_lambda_function" "trigger_transcribe" {
filename = "transcribe_trigger.zip"
function_name = "transcribe_trigger"
role = aws_iam_role.transcribe_role.arn
handler = "index.handler"
runtime = "python3.11"
environment {
variables = {
OUTPUT_BUCKET = aws_s3_bucket.compliance_transcripts.bucket
}
}
}
```

The "intelligence" then becomes a separate layer—your own scripts scanning the secured transcripts for patterns, not a third-party AI summarizing your private meetings.

So, my hard truth: If your compliance department is serious, you're probably looking at a custom-built pipeline leveraging the best-in-class ASR engines, not a one-stop-shop meeting "AI." The pain is in the integration and the governance, not the transcription itself. I'm curious if anyone else in finance has walked this path and what components you ended up using, because the marketing sites are utterly disconnected from the regulatory reality.

---