Accounting firms

Accounting Firms: How to Inventory Years of Business Records for AI Data Licensing

By FirmSignal Editorial · · 7 min read

AI-assisted educational guide with automated source checks. FirmSignal is independent of Mode and may earn a referral fee if you complete a qualifying transaction through our link. Eligibility, valuation, terms and data handling are determined by the buyer.

Conceptual illustration of tabbed accounting ledgers, an unmarked calculator and organized reconciliation folders connected to abstract data tiles.
AI-generated conceptual illustration.

As an accounting firm, you may be considering licensing your historical company operating data for AI research and training. Before exploring this opportunity, it's essential to inventory your years of business records to determine what data you have, its value, and any potential risks or limitations. In this article, we'll guide you through the process of preparing your business records for AI data licensing, including a hypothetical worked example and a checklist to get you started. Mode buys an agreed copy of company-owned operating records for AI research and training. Records can include email, documents, chat, CRM, and billing data. Mode agrees on the scope with your company and removes or transforms sensitive information before onward delivery. To be eligible, companies must have at least 10+ employees for legal, 15+ for accounting, medical, and finance, and 50+ for all other businesses. Companies in the United States, Canada, United Kingdom, and Australia are reviewed on a case-by-case basis. [1]

Understanding Mode's Company Data Partnerships

Mode buys an agreed copy of company-owned operating records for AI research and training. Records can include email, documents, chat, CRM, and billing data. Mode agrees on the scope with your company and removes or transforms sensitive information before onward delivery. To be eligible, companies must have at least 10+ employees for legal, 15+ for accounting, medical, and finance, and 50+ for all other businesses. Companies in the United States, Canada, United Kingdom, and Australia are reviewed on a case-by-case basis. [1]

  • Determine if your company meets the eligibility criteria
  • Identify the types of records you have, such as email, documents, and CRM data
  • Consider the potential value of your data for AI research and training

Protecting Personal Information: A Guide for Business

The Federal Trade Commission (FTC) provides guidance on protecting personal information, including sensitive data such as Social Security numbers, credit card information, and other personally identifying information. The FTC recommends taking stock of the data in your files, scaling down to only what is necessary, locking it to protect it, pitching it when no longer needed, and planning ahead for security incidents. [2]

  • Conduct an inventory of sensitive data in your files and on your computers
  • Scale down to only collect and retain necessary information
  • Implement physical and electronic security measures to protect sensitive data
Conceptual illustration of workflow records for accounting firms organized for an inventory and scope review.
AI-generated conceptual illustration.

Inventorying Your Business Records

To inventory your business records, start by identifying the systems, owners, dates, and exclusions for each type of record. For example, you may have working papers, engagement workflows, bookkeeping processes, and reconciliations. Consider the following hypothetical worked example: Let's say your accounting firm has the following records: Working papers: stored in a document management system, owned by the engagement team, dated from 2020 to 2022, excluding taxpayer/client secrets. Engagement workflows: stored in a project management tool, owned by the partner-in-charge, dated from 2018 to 2020, excluding confidential client information. Bookkeeping processes: stored in an accounting software, owned by the bookkeeping team, dated from 2015 to 2018, excluding sensitive financial data. Reconciliations: stored in a spreadsheet, owned by the reconciliation team, dated from 2020 to 2022, excluding personally identifiable information.

  • Identify the systems used to store and manage each type of record
  • Determine the owners of each record, including employees and third-party vendors
  • Specify the date ranges for each record, including creation and modification dates

Preparing Your Records for AI Data Licensing

Once you have inventoried your business records, you can begin preparing them for AI data licensing. This may involve de-identifying sensitive information, transforming personal identifiers, and removing or redacting confidential data. Before licensing your data, ask the buyer the following questions: What types of data are you interested in licensing? How will you use the data for AI research and training? What security measures will you take to protect the data? How will you ensure compliance with relevant laws and regulations?

  • De-identify sensitive information, such as Social Security numbers and credit card information
  • Transform personal identifiers, such as names and addresses
  • Remove or redact confidential data, such as client secrets and financial information

Practical Checklist for Inventorying Business Records

To ensure that your business records are properly inventoried and prepared for AI data licensing, follow this practical checklist: Identify the systems used to store and manage each type of record, Determine the owners of each record, including employees and third-party vendors, Specify the date ranges for each record, including creation and modification dates, De-identify sensitive information, such as Social Security numbers and credit card information, Transform personal identifiers, such as names and addresses, Remove or redact confidential data, such as client secrets and financial information.

  • Review and update your inventory regularly
  • Ensure compliance with relevant laws and regulations
  • Prioritize the security and confidentiality of your data
  • Use encryption and access controls to protect sensitive data
  • Develop a written records retention policy to identify what information must be kept, how to secure it, how long to keep it, and how to dispose of it securely when you no longer need it

Conclusion

Inventorying your business records is an essential step in preparing for AI data licensing. By following the steps outlined in this article, you can ensure that your data is properly prepared and protected. Remember to always prioritize the security and confidentiality of your data, and to carefully review any agreements or contracts before licensing your data. The Federal Trade Commission (FTC) provides guidance on protecting personal information, including sensitive data such as Social Security numbers, credit card information, and other personally identifying information. The FTC recommends taking stock of the data in your files, scaling down to only what is necessary, locking it to protect it, pitching it when no longer needed, and planning ahead for security incidents. [2]

  • Review and update your inventory regularly
  • Ensure compliance with relevant laws and regulations
  • Prioritize the security and confidentiality of your data

Additional Considerations

In addition to the steps outlined above, consider the following when preparing your business records for AI data licensing: The potential risks and limitations of licensing your data, including the potential for data breaches or unauthorized use. The potential benefits of licensing your data, including the potential for new revenue streams and the support of AI research and training. The importance of carefully reviewing any agreements or contracts before licensing your data, including the terms and conditions of the license and the rights and obligations of all parties involved.

  • Consider the potential risks and limitations of licensing your data
  • Consider the potential benefits of licensing your data
  • Carefully review any agreements or contracts before licensing your data

Final Thoughts

In conclusion, inventorying your business records is a critical step in preparing for AI data licensing. By following the steps outlined in this article, you can ensure that your data is properly prepared and protected. Remember to always prioritize the security and confidentiality of your data, and to carefully review any agreements or contracts before licensing your data. Mode buys an agreed copy of company-owned operating records for AI research and training. Records can include email, documents, chat, CRM, and billing data. Mode agrees on the scope with your company and removes or transforms sensitive information before onward delivery. To be eligible, companies must have at least 10+ employees for legal, 15+ for accounting, medical, and finance, and 50+ for all other businesses. Companies in the United States, Canada, United Kingdom, and Australia are reviewed on a case-by-case basis. [1] The Federal Trade Commission (FTC) provides guidance on protecting personal information, including sensitive data such as Social Security numbers, credit card information, and other personally identifying information. The FTC recommends taking stock of the data in your files, scaling down to only what is necessary, locking it to protect it, pitching it when no longer needed, and planning ahead for security incidents. [2]

  • Review and update your inventory regularly
  • Ensure compliance with relevant laws and regulations
  • Prioritize the security and confidentiality of your data

Frequently asked questions

What types of records can be licensed for AI data research and training?

Records can include email, documents, chat, CRM, and billing data, among others.

How do I ensure the security and confidentiality of my data?

Implement physical and electronic security measures, such as encryption, access controls, and secure storage, and ensure compliance with relevant laws and regulations.

What are the benefits of licensing my data for AI research and training?

Licensing your data can provide a new revenue stream and help support the development of AI technologies.

Sources and further reading

  1. Mode — company data partnerships
    Checked November 4, 2026
  2. FTC — Protecting Personal Information: A Guide for Business
    Checked November 4, 2026

Program criteria can change. Confirm current eligibility and written terms with the buyer. Hypothetical examples illustrate preparation and are not actual transactions.

← All guides