100%
— Answers ground to your record · with citations
AI first · grounded · cited · safe
Your RIA compliance consultant, on call 24/7.
An AI compliance consultant that knows the regulations AND your firm's own policies, cites the exact rule and record behind every answer, and handles the routine questions you'd otherwise pay an outsourced CCO by the hour for.
— CCO
When did Eleanor Hartwell last receive our Form ADV Part 3, and did she acknowledge it?
R RegFin AI · 2.1s
Eleanor Hartwell received Form ADV Part 3 (v2024.07) on Jul 18, 2024 via the client portal, with read-receipt confirmed at Jul 19, 2024, 9:42 am ET. She acknowledged it the same day. There is no acknowledgment yet for the v2025.07 version delivered Aug 03, 2025. A reminder is queued for Apr 18.
Her household member Robert Hartwell did acknowledge v2025.07 on Aug 06, 2025.
— tools used
✓crm.client_lookup
✓documents.delivery_log
✓archive.read_receipts
0
— Of your data trains the model
2s
— Median answer latency on a sourced query
∞
— Every query & answer archived for exam
The math a CCO runs
Cheaper than an outsourced CCO. Available when they aren't.
An outsourced compliance consultant runs roughly $30K–$125K a year, and you still wait for the callback, then watch the clock on every billable hour. The routine questions ("Does this email trip the Marketing Rule?" "When did we last deliver this client's ADV?") are exactly the ones you shouldn't have to pay by the hour to answer.
RegFin's AI consultant answers those instantly, with the exact rule and record cited, at no marginal billable hour. You keep the outside consultant for the hard calls and stop paying for the easy ones.
✓Routine questions, answered now
The day-to-day "is this allowed / when did we / who signed" questions come back in seconds, with citations. No email, no callback, no hourly meter running.
✓No marginal billable hour
Ask it once or a hundred times a day; the cost doesn't move. An outsourced CCO bills $30K–$125K a year and still charges for the back-and-forth.
✓On call 24/7
It doesn't take vacation, miss a deadline, or go quiet at quarter-end. The answer, and the citation behind it, is there the moment you need it.
✓Your consultant, amplified
This doesn't replace judgment on the hard calls. It clears the routine volume so the expertise you do pay for goes where it actually matters.
How AI earns a place in compliance.
AI is a tool, not an authority. These three principles are non-negotiable in how we build it, and they're how an examiner can tell yours from a generic wrapper around ChatGPT.
— Principle 01
Grounded, not generative
RegFin's AI cannot answer a question about your firm without first retrieving the records it'll cite. If the record doesn't exist, the answer says so. No hallucinated rule citations, no invented attestation dates, no made-up policy text. Ever.
— Principle 02
Cited, every time
Every answer shows the documents, archive items, CRM rows, and rule clauses it pulled from, all clickable. A CCO can verify any claim in seconds. If a citation can't be produced, the assistant doesn't make the claim.
— Principle 03
Read-only by default, audited always
The assistant reads the record. To write (send a doc, approve a review, change a policy), a human approves the proposed action. Every query, citation set, and action is itself archived. Your AI usage is examinable.
AI inside every module
Not a chatbot in a corner. A function in every workflow.
— Ask the record
The firm's compliance memory, on demand.
"Did we deliver the updated ADV Part 3 to clients in the conservative model?" "Who signed v3 of the Code of Ethics?" "Show me every client missing a suitability attestation in Q1." Cited answers across documents, attestations, archive, trades, and CRM.
→ Which households are missing 2025 ADV Part 3 acknowledgments?
4 households · 7 individuals · last delivered Aug 03 · last reminder Apr 10 · queued for re-send
— Marketing reviews
Marketing Rule reviewer
Drafts → Marketing Rule citations → suggested rewrites. Catches testimonial triggers, performance claims, and hypothetical-return language before they ship.
— Form ADV
ADV change detector
Watches your operations (AUM bands, client counts, owners, custodians) and surfaces every reportable item with the section it implicates.
— Trade monitoring
Pattern + outlier explainer
When the trade monitor flags an event, the AI explains why in plain English: the rule that triggered, comparable trades, and the relevant compliance context.
— Forms & tasks
Submission triage
Reads the submission, parses uploaded statements, flags threshold trips, and routes for review with the issues already summarized.
— Vendor due diligence
SOC 2 reader
Drop in a vendor's SOC 2 report; the AI summarizes scope, exceptions, test results, and deltas vs. last year, cited line by line.
— Archive search
Semantic search across comms
"Find every text where an advisor discussed performance attribution with a client." Answers in plain language, with the source messages linked.
Boundaries, not features
How we keep AI audit-safe by construction.
The right question for any AI vendor isn't "what can it do," it's "what can it not do, and how do you know." RegFin's answer is plain: the AI only ever sees your firm's records, never trains on your data, can't take an action without a human's approval, and keeps a sealed log of every prompt and response.
An examiner can pull every AI interaction your firm has ever had: what the AI saw, what it returned, and what action a human took on it. That record holds up because it's WORM-sealed alongside the rest of your archive.
✓No training on your data
Your firm's records, comms, and prompts are never used to train any model, ours or a vendor's. Nothing you ask leaves your firm to make someone else's AI smarter.
✓It only sees your firm's records
The AI only ever sees your firm's records, never another firm's. There is no shared knowledge base across firms; your archive is your archive.
✓No autonomous writes by default
Out of the box, the AI proposes; a human approves. You can enable autonomous actions per-workflow, with the audit log treating each as a CCO-delegated action.
✓Refusal by design when uncited
The model is instructed not to answer factual questions about your firm without retrieving citations. "I don't have a record of that" is a valid answer.
✓Every prompt + response archived
Hashed, time-stamped, tied to the user identity, sealed under WORM. Pulled into exam exports alongside the rest of your record.
FAQ
The questions a cautious CCO actually asks.
RegFin uses frontier LLMs through enterprise agreements that do not train on your data, paired with a compliance-specific knowledge base covering the SEC Marketing Rule, the Advisers Act, IA Act release notes, every Risk Alert since 2019, and a curated state-level library. The specific model can change as the frontier moves. What doesn't change is the rule that every answer is grounded in your records and shows its citations.
Wrong answers, when they happen, are wrong-in-citation-checkable ways: the model fabricates a date or a clause that doesn't appear in the citations. Every answer carries the records it used; verifying a claim takes seconds. We also keep a feedback loop: flagged answers are reviewed, the system tuned, and a sealed correction posted to your firm's log.
Yes. AI is a feature layer, not the foundation. Every module functions without it; archiving, monitoring, vendor due diligence, and forms are deterministic systems. AI is the assistant that makes them faster to use. You can disable AI per-module or firm-wide, and the rest of the platform doesn't notice.
The AI only ever sees your firm's records, never another firm's, no matter what a prompt asks. A question about another firm's data comes back with "no record," because there isn't one for it to find.
Most adoption starts with the CCO and a power user who wants to stop digging through three systems to answer a question. From there it spreads via two paths: marketing review (advisors get instant Marketing Rule feedback), and "ask the record" (anyone needing to find historical context). The interface is the same chat surface inside every module; there's nothing new to learn.
Every AI interaction is part of the archived record. We can export a complete log: prompts, responses, citations retrieved, actions proposed, and human approvals, all hashed and time-stamped. If an examiner asks about AI usage policies, you have the policy you set in RegFin and the evidence that the system enforced it.
See it on a sample firm
Bring us a hard question.
"Did we ever deliver an updated ADV Part 3 to so-and-so?" "Which clients are missing their annual suitability attestation?" A demo runs questions like these against a sample firm, every answer backed by a citation.
Book a demo →