You Don't Own Your Model. You Don't Own Your Data Either.

I have 1,500 meeting recordings. Every sales call, every strategy session, every bit of advice I have given over years.

For a long time they all lived in Fathom. Brilliant tool. I rely on it. But one day it hit me: if Fathom shut down tomorrow, all of that would be gone. Years of conversations, advice, and stories. Not mine to keep, just mine to borrow.

Everyone is worried about losing their AI model right now, but AI data ownership is the bigger risk. The Fable ban made the model fear real. The model is the easy thing to replace. The data underneath it is the part you can never get back.

Here is why your data is the real asset, and how to bring it home.

The model is not the only thing you're renting

When we talk about AI dependency, the conversation jumps straight to models. Which one is best. What happens if it gets banned. How do you swap providers.

That matters. But it misses a bigger exposure sitting in plain sight.

Your business data is scattered across tools you do not own. Your meeting transcripts live in a note-taker. Your customer history lives in a CRM. Your prompts and saved chats live inside one AI app. Your content lives on social platforms. Every one of those is rented.

A model you can replace. You point your work at a different provider and carry on. Your data is different. It is unique to your business, and if a tool takes it with them, no other tool can hand it back.

That is the asymmetry most businesses miss. They spend the energy worrying about the replaceable thing and none on the irreplaceable thing.

What happens when the tool dies

This is not a hypothetical. Funded, established SaaS tools go dark with very little warning, and their customers find out the hard way that the data was never really theirs.

In early 2025, Bench, a Canadian accounting platform that had raised around $100 million, shut down abruptly and left thousands of businesses scrambling to recover their own bookkeeping and tax records. Skybox Security closed its doors after raising more than $330 million. Funding does not protect you. Only your own copy does.

Those examples come from analysis of the 2025 SaaS shutdowns. And the data-loss problem runs wider than full shutdowns. A 2025 review of SaaS data loss found 74% of organisations had lost SaaS data, often through errors and access issues, not just vendor collapse.

Even Forrester has called the shift, arguing in "SaaS as we know it is dead" that the era of trusting your business to a stack of separate cloud tools is ending. The tools come and go. Your data should not go with them.

Most businesses behave as if their tools will simply keep running tomorrow. I would bet that 95% of people using Fathom, Fireflies, or Granola have never once exported their recordings. If those tools shut down, that IP just vanishes.

The recordings story

So I did something about my own exposure.

I pulled all 1,500 Fathom recordings out and brought them down into a database I control. Then I used AI to map them: by client, by topic, by the decisions and advice inside each one. That mapping was the real value. It turned a pile of transcripts into a searchable asset.

Here is the part that matters. If Fathom shut down today, I lose nothing. Every conversation, every story, every piece of advice I have given stays with me, in a format I can read and move and feed into any model I want.

That is the difference between renting and owning, made concrete. The tool became optional. The data became permanent.

You do not need 1,500 recordings for this to apply. The principle is the same whether you have ten or ten thousand. The recordings, the customer notes, the content you have produced: that is your business's memory. It should not live somewhere you cannot reach.

AI data ownership: what you own versus what you rent

It helps to draw the line clearly.

What you rent	What you can own
The AI model	Your prompts, SOPs, and decision rules
The note-taker	The transcripts and recordings
The CRM interface	The customer history and contact data
The social platform	The content you produced
The automation tool	The workflow logic, exported and backed up

The left column will change. Tools get bought, sunset, repriced, or banned. The right column is your actual business. The work for the next year is moving everything you can from the left column into the right.

This is the same idea behind knowledge architecture for AI: structure your IP so it sits in your hands, ready to plug into whatever model or tool comes next.

How to bring your data home

You do not need to rebuild your stack to fix this. You need a copy of the important data in storage you control. Start here.

1. List where your high-value data lives. Recordings, customer history, content, prompts, and SOPs. Note which tool holds each one.
2. Export from each tool now. Most have an export button. Pull transcripts, contacts, and content into structured files such as CSV, JSON, or plain text.
3. Put it somewhere you control. A cloud bucket, a simple database, or a data warehouse for the structured, high-value stuff. The test is whether you can read it without the original tool.
4. Map it so it is useful. Raw exports are a start. The value comes when you organise them by client, topic, or outcome. This is where AI earns its keep, exactly as it did with my recordings.
5. Make the export repeat. A one-off backup goes stale. Schedule it so your owned copy stays current.

Do the recordings and customer data first. They are the hardest to recreate and the easiest to lose.

If building a warehouse and export pipeline sounds like a job for someone else, DevWiz builds the systems that bring your data home. This is one piece of running AI as an operating system. The full picture is in our AI orchestration guide.

You have a legal right to your data. Don't rely on it.

If you operate under GDPR, you already have a right to this. Article 20, the right to data portability, says you can receive your personal data in a structured, commonly used, machine-readable format and move it elsewhere.

That right is useful. It is also slow, and it depends on the vendor still being around to honour it. A company that has gone under cannot process your export request.

So treat the legal right as a backstop, not a plan. The plan is having your own copy already, before you need it. A right you can only exercise after the lights go out is not much of a safety net.

FAQ

What does it mean to own your data? A copy lives in storage you control, in a format you can read and move, independent of any single tool. Renting means it only exists inside someone else's platform.

Why is data ownership more important than model choice? Models are interchangeable. Your customer history, recordings, and content are not. The model is fuel. The data is the asset.

How do I back up data from tools like Fathom or a CRM? Use the export function to pull structured files, store them in your own storage, and schedule the export to repeat. GDPR Article 20 also gives you a legal right to a machine-readable copy.

Where should business data live so I own it? In a cloud bucket, database, or warehouse you control. The test is whether you can read and move it without the original tool.

The takeaway

If you do one thing after reading this, do not start with the model. Start with the data.

Get your recordings, your customer history, your content, and your prompts into a place you own. The tools sitting on top can change as often as they like once the data underneath is yours.

In the end, business comes down to data: what your clients need, what your market is doing, what your own work has taught you. Keep that, and you keep the business. This is the first thing we build in the program, because everything else depends on it.

Want to find out which of your assets are most exposed? Take the AI readiness assessment and we will show you what to bring home first.