AI tools for SEC compliance help a CCO review ads, email, and books-and-records. They are not a chatbot that signs off. Buy commodity surveillance when the vendor owns the exam artifact. Build or hire the context layer when work crosses CRM and the archive. The human stays accountable.
AI tools for SEC compliance are screening and drafting systems that help a CCO review ads, email, and books-and-records. They are not a chatbot that signs off. Buy commodity surveillance when the vendor already owns the exam artifact. Build or hire the context layer when the work crosses CRM and the compliance archive. The human stays accountable.
Do not buy a generic "AI compliance" product and call it a program.
If the job is email or advertising surveillance and the vendor already retains the flags, the reviewer decision, and the archive, buy that tool. If the job is assembling a review packet from CRM fields, household files, and prior correspondence, you need a firm-owned context layer: retrieval, redaction, and a queue a person already owns.
The SEC's FY 2026 examination priorities say examiners will look at whether representations about AI are accurate and whether firms have policies to monitor and supervise AI use, including back-office and regulatory-technology workflows. That is the existing rulebook applied to new tools. It is not a new exemption.
howtheF builds the internal layer for US RIAs between $1B and $10B AUM. We do not sell a client-facing chatbot or an "AI account manager."
A useful tool has a job, an owner, and an artifact an examiner can open.
Advertising review. Drafts go in. Policy conflicts, testimonials, and performance-claim flags come out. A compliance officer decides. The packet lands in the archive you already keep.
Email and communications surveillance. Messages are screened against written policies. Alerts go to a reviewer. Auto-clearing without context is not supervision.
Books and records. Evidence collection, workpaper drafts, questionnaire fill from an approved library. Conclusions and sign-off stay human.
A chat window that summarizes a policy PDF is not any of those jobs. It is a research aid. Treat it that way.
Schwab's public AI guidance puts data governance and security as the condition for moving from experiment to strategy. Compliance tools fail that test when prompts, outputs, and reviewer edits live only in a chat history.
Buy when the vendor owns the exam artifact: the flag, the disposition, the retention clock. Commodity email and advertising surveillance is that category when the product is built for regulated firms and you can show how a record is stored.
Build or hire when the work crosses systems. A CCO reviewing a campaign that pulls CRM segments, prior letters, and an IPS is not buying a second login. That is a context layer: retrieval over firm-controlled sources, a policy shell that redacts NPI before a model sees it, and output written to the archive.
The composition choice is the same as the rest of the stack. A longer treatment is here: Build vs buy AI for RIAs.
Do not paste household files into unmanaged ChatGPT to speed up a review. That pattern is covered in Can financial advisors use ChatGPT with client data.
The Division of Examinations' FY 2026 priorities keep AI under emerging financial technology. Examiners will review the accuracy of what firms say about their AI capabilities. They will assess whether policies exist to monitor and supervise AI in areas such as back-office operations, fraud detection, and trading, and whether firms are using regulatory technology to automate internal processes.
Read that as: say what the tool does, supervise it, keep records. Do not advertise an AI compliance program your written policies cannot describe.
Existing adviser obligations still apply: marketing standards, fiduciary conduct, books and records, and supervision. AI changes the speed of drafts and alerts. It does not move the signature.
Hartford Funds treats AI as a practical efficiency tool. That only holds if hours come off a named review queue, not off a chatbot that nobody can replay.
That is the same five-step sequence as How to implement AI at an RIA. If you need a partner to run it, the screen is in Who helps RIAs implement AI.
We treat AI tools for SEC compliance as workflow infrastructure, not audit insurance. First scope is one internal review: advertising, communications, or a books-and-records packet. Retrieval is wired to CRM and the archive you already keep. A person signs off. The artifact lands where your examiner already looks.
We design and operate custom internal AI for wealth firms. We do not sell a client-facing chatbot. If the first workflow does not run in production, we do not expand the scope.
howtheF's refusal list is short and public: no client-facing advice bots, no NPI in plaintext prompts, no "set and forget" agents on regulated work.
No. Tools draft, screen, and assemble evidence. The Chief Compliance Officer remains responsible for the compliance program. Use AI to shrink repetitive review, not to eliminate supervised judgment.
Buy commodity surveillance when the vendor already owns the flag, the disposition, and the retention record. Build or hire the context layer when a review has to pull CRM, household files, and the archive into one packet.
No. A chat summary is not a filed advertising review or a books-and-records entry. If the work matters, it has to land in a system your examiner already knows, with a named human decision.
The FY 2026 examination priorities put AI under emerging financial technology. Examiners will check whether statements about AI capabilities are accurate and whether firms have policies to monitor and supervise AI use. There is no separate AI exemption.
Custom internal AI on your CRM, custodian, and compliance archive. Licensed models, firm-owned retrieval and policy, human approval, output written to a review queue. No client-facing advice bot.
Automate RIA client reporting as internal ops: retrieve verified performance data, draft commentary, require human review, and publish to the portal you already have. Not a client-facing advice bot and not a new reporting platform.
An AI CRM is not a native feature on a vendor roadmap. Keep Wealthbox, Redtail, or Salesforce. Buy the note-taker. Own a context layer across CRM, custodian, and the compliance archive, with human approval before anything writes to a household record.
Buy commodity tools when the vendor owns the artifact. Build or hire a firm-owned context layer on CRM, custodian, and the archive, scoped to one internal workflow, when off-the-shelf cannot file the packet. For US RIAs between $1B and $10B AUM.
See how HowTheF.ai can help your firm implement AI that actually works.