Vendor Lock In and Your AI Data
Vendor lock-in is rarely a decision you make on purpose. It is the slow accumulation of switching costs until leaving a system is too expensive to contemplate, and with AI the currency of that cost is your own data.
The more of your operation a provider holds, the higher the wall around the exit gets. By the time the pricing changes or the service degrades, the migration has become a project nobody wants to fund.
The cost side is not hypothetical either: Flexera's 2025 State of the Cloud Report found 84% of organizations struggle to manage cloud spend, and a bill that hard to see clearly is where repricing hides. Lock-in is what makes the repricing stick.1
How Lock In Accrues
Lock-in builds through convenience, one reasonable step at a time. You upload documents, wire up integrations, accumulate months of history, and tune prompts to a particular model's quirks.
None of it feels like a trap while it is happening, which is exactly why it works. Each step is sensible on its own, and together they quietly raise the cost of ever walking away.
The Teaching Is the Hostage
The trap holds because the hostage is rarely your files, it is the teaching. Most vendors will let you export the raw chats and documents; what stays behind is the derived layer, the corrections, the extracted relationships, the tuned workflows and access rules, the search index that finally knows your business.
That layer cannot be rebuilt by re-uploading, only re-taught over months, and a wrapper keeps it on the vendor's side by design. Most organizations look at that bill and stay, and the pricing tends to assume it.
Open Formats Are Leverage
Portability is not a feature you use day to day; it is leverage you hold permanently. A calendar that exports to ICS, documents that stay documents, and a knowledge base you can read directly all keep the exit unlocked whether or not you ever use it.
FactoryOS leans on standard formats for this reason. Your schedule and your records are not hostage to a schema only one company can read.
Price the Exit First
The cost of leaving is a question to ask before you arrive, not after the relationship sours. A straight answer about how data is exported, in what formats, and how long it takes tells you most of what you need to know.
A vague answer is itself an answer. The exit cost will never be lower than on the day you sign, so estimate it while you still have leverage.
Ownership Removes the Lever
Owning the infrastructure removes the lock-in that actually traps you, because the hostage -- your data and the teaching built on it -- is no longer in anyone else's hands. When the hardware, the data, and the software are all yours, no external party can reprice your access or strand your history.
The switching cost a vendor quietly relies on simply does not exist. It is a quieter advantage than raw capability, but it is the one that still matters a decade in.
Questions That Expose It
A few direct questions surface lock-in before you commit. Ask how you get your data out and in what format, whether the search index, workflows, and access rules come with it, who can see it while it sits with the vendor, and what happens to it if you stop paying.
The answers sort partners from landlords quickly. Which of your current AI dependencies could you actually walk away from tomorrow?
The Same Questions Turned Here
Fairness demands the lens point both ways, so here are FactoryOS's answers. The license is perpetual: the version you bought keeps running for as long as you choose to run it, on hardware you own, with your data in standard formats on your own disk.
The strictest tier goes further, holding source and keys in escrow under a legal continuity agreement so the system outlives its vendor. Stop paying anyone anything, and the box still works tomorrow.