Leading AI labs will pay real money for a filtered copy of the workplace records your team already created: email, Slack, CRM, docs, tickets, calls. Not a loan. Not equity. A payout for data you already own.

A few years ago, a lot of operators chased the same instinct through the Employee Retention Credit. Some claimed it. Some were told they did not qualify. Some never finished the paperwork. The instinct was right either way: if value is already inside the business, go get it.

That instinct still holds. The buyer just changed.

The Money Isn’t in a Tax Form This Time

It’s in the operating history your team already produced: the Slack threads, email chains, tickets, CRM notes, call transcripts, and project files that show how real people solve real problems at work.

AI labs building workplace agents cannot get that from the public internet. Wikipedia does not have your billing dispute. Reddit does not have your escalation path. After lawsuits over unconsented training data, those labs increasingly need licensed, consented copies of how work actually happens. And they pay for them.

Remember Spirit Airlines? Reporting covered that Google paid 8 figures for operational business data, not logos or planes. That deal woke buyers up. The same kind of records now sit inside living companies every day.

If that sounds abstract, it isn’t. You already generate the asset. The only question is whether you’ll be the one who monetizes it.

What You’re Sitting On (And Why Buyers Care)

Buyers are not hunting “customer secrets” as a product. They want the pattern of work: how a double charge got caught, how finance approved a refund, how a bug got patched, how a deal moved through CRM.

That pattern usually lives in tools you already pay for:

• Email and calendar
• Documents and shared drives
• Chat and collaboration (Slack and the like)
• Calls and transcripts
• CRM and sales systems
• Billing and operations tools

If your company was curious enough to look into the ERC, there’s a decent chance you also have years of this digital footprint, whether or not a credit ever landed.

“Won’t This Expose Our Customers?”

That’s the first objection every serious operator has. It should be.

The buyers do not want your unfiltered customer files handed over as a dossier. They want decision-making and workflow history. The companies facilitating these deals strip names, contacts, and other identifiers from an agreed copy before anything is delivered for AI training. Your originals stay in your systems. You approve systems and date ranges before export. Passwords are not handed over.

In plain English: the useful “how the work happened” remains. The personal identifiers get transformed or removed.

Who Actually Pays… and How the Money Shows Up

This is where most “free money” pitches get vague. Here’s the concrete path.

Mode.Inc launched a major enterprise data monetization initiative covered by Yahoo Finance and Business Wire: helping businesses and nonprofits license historical workplace records to leading AI companies. Mode is backing this with a $5 billion data monetization initiative, has facilitated over $1 billion in consumer earnings and savings, ranked #1 on Deloitte’s Technology Fast 500 in North America, and counts collaborators and shareholders that include Apple co-founder Steve Wozniak.

Qualifying companies are seeing payouts commonly discussed in the $100,000 to $5,000,000 range depending on volume, history, industry, and quality. No debt. No equity. You’re paid for a filtered copy of operating history you already created.

How you actually get it:

1. Apply with basics about company size, history, and systems.
2. Review an estimate, then a fixed offer after Mode looks at what’s in scope. A short non-binding LOI can hold an estimate while diligence happens.
3. Approve the scope (which systems, which dates) before anything is exported. Your team signs into approved systems; Mode handles extraction and de-identification.
4. Get paid under the written agreement. From serious kickoff toward payment, the timeline is often measured in roughly 60 days, not another year of tax theater.

The Fastest Way to See If This Is Real

Prefer to hear it from the operator who built the program? Mode’s founder and CEO, Dan Novaes, walks through the opportunity in under 7 minutes:

Who This Is Actually For

Strongest fits are companies with real desk-worker history and records they own:

• Legal: 10+ employees
• Accounting, medical, and finance: 15+ employees
• All other businesses: 50+ employees
• U.S.-based teams with several years of owned operating records; Canada / UK / Australia reviewed case by case on some funnels

More office workers, more years of history, and hotter industries (legal and accounting especially) tend to mean more value.

Why Operators Move on This Instead of “Raising”

• Bank debt: guarantees, covenants, interest.
• Equity: dilution and board drama.
• Another tax-credit cycle: slow and picked over.
• Licensing anonymized operating history: cash for past work, originals stay put, a few hours from your team, not a rebuild of how you operate.

Mode stumbled into this as a serial acquirer when other vendors wouldn’t let them audit PII removal on their own portfolio’s data. They built the tooling, used it internally, and opened it to outside businesses and nonprofits.

Do This Next

You don’t need to become an AI company. You need a short conversation that answers one question: is the operating history already on your servers worth six figures, or seven?

If you looked into the ERC because you wanted non-dilutive cash from something you’d already built, this is the same playbook with a new buyer.