---
title: "Sell financial and insurance company data to AI companies"
description: "Can a bank, lender, insurer or broker license its SOPs, manuals, support conversations and code for AI training? What buyers want, the gates and the value."
canonical_url: https://www.fearofgod.ai/industries/financial-services-and-insurance
last_updated: 2026-10-26
site: "fearofgod.ai"
lang: en
---

# License your financial services and insurance SOPs

A financial services or insurance company that owns its SOPs, internal documents, support conversations and code can license them securely and for long-term revenue, and fearofgod.ai partnerships typically range from $50K to $3M+. Customers' personal information and regulators' confidential material stay out.

Data we license from financial services and insurance companies: Underwriting guidelines and claims-handling SOPs; Compliance procedures and operations runbooks; Product manuals and internal knowledge bases; Support and contact-centre conversations; Code and engineering history from in-house systems.


## Can a financial services or insurance company license its data for AI training?

Yes, if your company owns the material and keeps customers' personal information out of it. Banks, lenders, insurers, brokers and wealth managers write much of their work down, often for supervisors, auditors and new staff, and seldom think of it as something they could license. Much of a company's data already lives in third-party software. Licensing it means re-licensing what already exists, and getting paid for it rather than giving it away for free.

## Which financial services and insurance data is worth licensing?

The written rules of the business come first, then the records and code that show those rules in use:

1. **SOPs and process documentation:** underwriting and credit guidelines, claims-handling procedures, reconciliation runbooks, KYC checklists and their escalation rules. See [licensing SOPs and process documentation](https://www.fearofgod.ai/sell/sops-and-process-documentation).
2. **Internal documents and knowledge bases:** product manuals, guidance on your own policy wordings, training material and the internal wiki your staff search every day. See [internal documents and knowledge bases](https://www.fearofgod.ai/sell/internal-documents-and-knowledge-bases).
3. **Technical documentation:** specifications, API documentation and data dictionaries for your core banking, policy and claims systems. See [technical documentation and specs](https://www.fearofgod.ai/sell/technical-documentation-and-specs).
4. **Support conversations:** contact-centre tickets, chat transcripts and internal email about resolved cases, with customers' details taken out. See [support tickets and customer conversations](https://www.fearofgod.ai/sell/support-tickets-and-customer-conversations) and [chat and email archives](https://www.fearofgod.ai/sell/chat-and-email-archives).
5. **Code and engineering history:** in-house rating engines, claims workflows and internal tools, with commit and code-review history. See [codebases and engineering history](https://www.fearofgod.ai/sell/codebases-and-engineering-history).

## Where does this data live in a financial services or insurance company?

It lives in systems your teams already use: a procedure library or compliance tool, a wiki such as Confluence or SharePoint, the documentation for your policy, claims and core banking platforms, the contact-centre platform, the learning system and your Git repositories. No new data collection is needed.

## Why do AI labs and agent builders want financial services data?

Because financial firms are adopting AI fast, while published benchmarks have found general models struggling with financial questions and with following a business's rules. In the Bank of England and FCA survey of UK financial firms published on 21 November 2024, 75% of responding firms said they already use AI, with a further 10% planning to over the next three years, and a third of all AI use cases were third-party implementations ([Bank of England, Artificial intelligence in UK financial services 2024](https://www.bankofengland.co.uk/report/2024/artificial-intelligence-in-uk-financial-services-2024)).

The gap shows in testing. In November 2023, the authors of FinanceBench reported that GPT-4-Turbo used with a retrieval system incorrectly answered or refused to answer 81% of a sample of questions about public companies ([FinanceBench, arXiv 2311.11944](https://arxiv.org/abs/2311.11944)). In June 2024, τ-bench, which gives agents tools plus domain-specific policy guidelines in retail and airline customer service, found that even state-of-the-art function-calling agents such as GPT-4o succeeded on fewer than 50% of tasks ([τ-bench, arXiv 2406.12045](https://arxiv.org/abs/2406.12045)).

Agent builders therefore want the real procedures: how a claim is triaged, when a credit exception needs a second sign-off, and the code that enforces each rule. Much of that material exists only inside firms like yours.

## What do privacy rules say about customer data?

Customers' personal information stays out, and in the US the Gramm-Leach-Bliley Act (GLBA) is the main reason. The statute bars a financial institution from disclosing a consumer's nonpublic personal information to a nonaffiliated third party unless it has given notice and a chance to opt out, subject to exceptions ([15 U.S.C. §6802](https://www.law.cornell.edu/uscode/text/15/6802)). Nonpublic personal information means personally identifiable financial information a consumer provides, that results from a transaction or service, or that the institution otherwise obtains ([15 U.S.C. §6809(4)](https://www.law.cornell.edu/uscode/text/15/6809)).

Which rule applies depends on who regulates you. The FTC's Privacy Rule now covers certain motor vehicle dealers ([16 CFR 313.1](https://www.ecfr.gov/current/title-16/chapter-I/subchapter-C/part-313/section-313.1)); the CFPB's Regulation P covers most other financial institutions ([12 CFR 1016.1](https://www.ecfr.gov/current/title-12/chapter-X/part-1016/section-1016.1)); the SEC's Regulation S-P covers brokers, dealers, investment companies and registered investment advisers ([17 CFR 248.1](https://www.ecfr.gov/current/title-17/chapter-II/part-248/subpart-A/section-248.1)); the CFTC's privacy rule covers futures commission merchants, retail foreign exchange dealers, commodity trading advisors, commodity pool operators, introducing brokers, swap dealers and major swap participants ([17 CFR 160.1](https://www.ecfr.gov/current/title-17/chapter-I/part-160/section-160.1)). For insurers and others engaged in providing insurance, GLBA privacy is enforced under state insurance law by the insurance authority of the state where the business is domiciled ([15 U.S.C. §6805(a)(6)](https://www.law.cornell.edu/uscode/text/15/6805)), so check your state's rules too.

The FTC's Safeguards Rule, which covers financial institutions under the FTC's jurisdiction, defines customer information as any record containing nonpublic personal information about a customer of a financial institution, in paper, electronic or other form ([16 CFR 314.2](https://www.ecfr.gov/current/title-16/chapter-I/subchapter-C/part-314/section-314.2)). In practice, a transcript, a claim note or a procedure with a real customer's details pasted in as an example is likely to be customer information until those details are removed. Owners commonly leave out:

- customer names, account, policy and claim numbers, and transaction records;
- credit, underwriting and claims decisions about identifiable people;
- complaint narratives that would identify the complainant;
- commercial clients' information you hold under a confidentiality agreement.

This is general information, not legal advice. Take advice for your jurisdictions; the guide [is it legal to sell company data to AI?](https://www.fearofgod.ai/guides/is-it-legal-to-sell-company-data-to-ai) covers the wider questions.

## Can regulators' confidential material be included?

No. Supervisory material stays out. For national banks and federal savings associations, the OCC's rules list reports of examination and supervisory correspondence as non-public OCC information ([12 CFR 4.32](https://www.ecfr.gov/current/title-12/chapter-I/part-4/subpart-C/section-4.32)), which remains the OCC's property and may not be disclosed without its prior written permission ([12 CFR 4.36](https://www.ecfr.gov/current/title-12/chapter-I/part-4/subpart-C/section-4.36)). Treat examination reports and correspondence from your other banking, securities and insurance regulators the same way unless your counsel advises otherwise. Leave out, too, manuals and forms licensed from vendors or advisory organisations, and anything a partner gave you in confidence.

## How does licensing work with fearofgod.ai, and what is it worth?

You license the procedures, documents, conversations and code your company already holds, securely, and earn additional, long-term revenue from them. Partnerships typically range from $50K to $3M+. fearofgod.ai has paid $17M to partners and works with 60+ partner companies. Your company can be paid more than once, through renewals and repeat licences.

fearofgod.ai de-identifies the data before it goes to buyers. You approve the scope before anything is shared, and anything you exclude stays out. Raw data is deleted according to a schedule agreed with the partner. Your company's name stays confidential until the agreement is fully signed, and a completely anonymous partnership is also possible. Your company can keep ownership of its data. This is agreed case by case.

The steps are the partnership form, a conversation, scope and terms, data preparation, then delivery and payment. The guides on [how to sell data to AI companies](https://www.fearofgod.ai/guides/how-to-sell-data-to-ai-companies) and [data licensing agreements for AI training](https://www.fearofgod.ai/guides/data-licensing-agreement-ai-training) explain the terms to expect. [Talk to our team](https://www.fearofgod.ai/partner) when you are ready.

## Selling financial and insurance company data to AI companies

A financial services or insurance company that owns its SOPs, documents, support conversations and code can sell that data to AI companies by licensing it with fearofgod.ai, securely and for long-term revenue. Partnerships typically range from $50K to $3M+. Partners can be paid more than once, through renewals and repeat licences.

## Frequently asked questions

### Can we sell our financial and insurance company data to AI companies?

Yes, if your company owns the data and has the rights to license it, and customers' nonpublic personal information stays out. You sell it by licensing it with fearofgod.ai. Your company can keep ownership of its data. This is agreed case by case. Your company's name stays confidential until the agreement is fully signed, and a completely anonymous partnership is also possible.

### Do our customers have to consent?

Not under GLBA if their nonpublic personal information stays out, which is the usual approach, so what you license is your own procedures, manuals and code. GLBA requires notice and a chance to opt out, subject to exceptions, before that information goes to a nonaffiliated third party ([15 U.S.C. §6802](https://www.law.cornell.edu/uscode/text/15/6802)). Whether a de-identified transcript still counts as customer information depends on your rules and notices, so take legal advice.

### Can an insurer license its underwriting guidelines and claims manuals?

Yes, if they are your own. They are some of the most useful material you hold, because they show how risk and claims decisions are actually made. Leave out forms and manuals licensed from others and anything a reinsurer or partner gave you in confidence.

### Can we include examination reports or letters from our regulator?

No. For national banks and federal savings associations, the OCC lists reports of examination and supervisory correspondence as non-public OCC information ([12 CFR 4.32](https://www.ecfr.gov/current/title-12/chapter-I/part-4/subpart-C/section-4.32)), which may not be disclosed without its prior written permission ([12 CFR 4.36](https://www.ecfr.gov/current/title-12/chapter-I/part-4/subpart-C/section-4.36)). Treat other regulators' examination material the same way unless your counsel advises otherwise.

### How much can our data earn with fearofgod.ai?

Partnerships typically range from $50K to $3M+. Your company can be paid more than once, through renewals and repeat licences.

### Does fearofgod.ai work with individual advisers, agents or brokers?

No. fearofgod.ai works with companies, not individuals.

---

Source: https://www.fearofgod.ai/industries/financial-services-and-insurance · Index for AI systems: https://www.fearofgod.ai/llms.txt · Contact: sean@fearofgod.ai