RegSense: AI-powered compliance review for Canadian investment firms

Reduce marketing review time while producing audit-ready evidence for PMs, IFMs, and EMDs.

  • Automatically scan marketing materials for performance claims, yield language, disclosures, and comparisons
  • Map findings directly to NI 31-103, NI 81-102, and CSA guidance
  • Generate structured, reproducible evidence for regulators and internal audit
Request Early Access

Preparing pilot deployments with Canadian portfolio managers, investment fund managers, and exempt market dealers.

Manual compliance review doesnt scale

Todays marketing reviews are:

  • Manual. PDFs, decks, and webpages are checked line-by-line by humans.
  • Inconsistent. Different reviewers flag different issues on different days.
  • Hard to audit. Months later, its unclear who approved what, against which rules, and why.

For Canadian registrants, this shows up as:

  • Slow turnarounds for marketing and performance materials
  • Subjective judgments with no structured trail
  • Stress during exams: can you prove this was reviewed against NI 31-103 / NI 81-102?

A compliance review engine, not just an AI chatbot

RegSense ingests your marketing materials and runs them through a deterministic review pipeline:

  • Document analysis. Detects performance claims, yield language, benchmark comparisons, and required disclosures.
  • Rule mapping. Maps each finding to NI 31-103, NI 81-102, and relevant CSA guidance.
  • Structured findings. Produces a machine-readable record of what was flagged, why, and how it was resolved.

Outcome

  • Faster reviews
  • Less back-and-forth with marketing
  • A defensible record you can show to regulators and internal audit

What a RegSense review looks like

From flagged issues to audit-ready output.

Example input

A fund facts sheet with:

  • 1-, 3-, and 5-year performance numbers
  • Top quartile performance language
  • A benchmark comparison vs. S&P/TSX

RegSense findings (simplified)

  • Finding #1  Performance claims

    Detected 3 references to historical returns. Mapped to NI 81-102 sections on performance presentation. Status: requires confirmation of standard calculation and disclosure wording.

  • Finding #2  Top quartile claim

    Detected comparative performance language. Mapped to CSA guidance on misleading performance claims. Status: requires supporting data and clarifying disclosure.

  • Finding #3  Benchmark comparison

    Detected benchmark name and index comparison. Mapped to NI 31-103 guidance on fair presentation. Status: OK, pending reviewer confirmation.

All findings are stored as structured data and linked to the document, reviewer, and timestampnot buried in email threads.

Built as a verifiable compliance system

RegSense is designed for regulated environments, not demo-ware:

  • Document UI integration. Works with tools your teams already use (e.g. Google Docs / Slides via Apps Script or webhooks).
  • Governance layer. Every review event is written to an event ledger for traceability.
  • Deterministic outputs. The same document and rules produce the same findings, every time.
  • Evidence storage. Findings, decisions, and artifacts are stored in a structured way for future exams.

Not just AI for compliancean opinionated system for evidence you can stand behind.

Built for Canadian registrants

RegSense is designed for:

  • Portfolio Managers (PMs)
  • Investment Fund Managers (IFMs)
  • Exempt Market Dealers (EMDs)

Use cases:

  • Pre-clearance of marketing and performance materials
  • Periodic review of websites, decks, and factsheets
  • Preparing for exams and internal audit with a clean evidence trail

From ad-hoc review to structured, reproducible compliance

Before RegSense

  • Manual reviews in email and PDFs
  • Reviewer-by-reviewer judgment
  • Approvals scattered across drives and inboxes
  • Stress during exams: can we reconstruct what happened?

After RegSense

  • Automated detection of key issues and references
  • Findings mapped to specific rules and guidance
  • Centralized log of reviews, decisions, and evidence
  • Clear story for regulators: what was reviewed, when, and against which rules

Join the early access cohort

Were preparing pilot deployments with a small set of Canadian PMs, IFMs, and EMDs.

If you have recurring marketing and performance review workloads and care about deterministic, audit-ready evidence, wed like to talk.

Request Early Access

Tell us about your firm and review process. Well respond with fit, timelines, and a proposed pilot scope.