Part of our guide to What is an AI execution layer? A plain-English guide for operators
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When AI was a chat window, an outage meant you wrote the email yourself. Once agents receipt payments, chase invoices and answer the phone, the vendor behind them is as critical as your bank feed. That is the trade-off of an AI execution layer: more work done, more dependence. The answer isn't to avoid dependence; it is to make it survivable.
Three ways a single vendor can stop your agents
Outages, including ones that aren't the AI company's fault
AI services run on cloud infrastructure, and cloud infrastructure fails. In October 2025 a fault in Amazon DynamoDB's DNS management in AWS's Northern Virginia region caused hours of disruption to many services that depend on it, as AWS describes in its post-event summary. You don't need to know which data centre your AI vendor uses to plan for this; you need to know what happens to your work when it is unavailable for an afternoon.
Model retirements and price changes
Models have a shelf life. Anthropic's deprecations page lists retirement dates and promises at least 60 days' notice for publicly released models; after retirement, requests to the old model fail. Other providers run similar schedules. A retirement is manageable if someone re-tests your workflows on the replacement in time. Price and usage-limit changes work the same way: they rarely arrive as a surprise, but they do arrive.
Policy and account changes
Providers change acceptable-use policies, regional availability and terms. An account can be suspended by an automated check. If every agent in your business runs through one account with one provider, a single decision you don't control can pause everything.
What you need to own, whichever vendor you use
Lock-in is mostly about where the valuable things live. Make sure these are yours, in a form you can take with you:
- Your records. Contacts, deals, notes and next actions should sit in a system you can export from (CSV at minimum), not only inside an agent's memory.
- Your instructions. The rules your agents follow ("never text tenants after 7pm", "always attach the progress note to the invoice") should be readable text you can copy out, not hidden configuration.
- Your logs. What was done, by which agent, who approved it. You may need these for a dispute, an audit or a privacy request; our security team covers this in audit trails for AI agent actions.
- Your accounts and credentials. Agents should connect to your mailbox, your CRM and your phone numbers through access you grant and can revoke, not through accounts the vendor owns.
- Your files. Documents agents produce should land in your drive or your system of record.
Model portability: test it before you need it
A workflow is portable if it would still work, perhaps a little worse, on a different model. Most aren't tested for this until an outage forces it. A simple quarterly drill:
- Pick three of your most important agent tasks.
- Collect five real past examples of each, with the output you accepted.
- Run them on an alternative model (or ask your vendor to) and compare against the accepted outputs.
- Note where the alternative falls short and whether the gap is acceptable for a few days.
- Write down which tasks should pause during an outage and which can run on the fallback.
If you built your own stack, this drill is your job. If you buy, ask the vendor how they do it and how fast they can switch. We cover that trade-off in build your own AI agents vs buy.
The exit plan checklist
Write this down once, keep it with your business continuity notes, and review it when you add a major workflow.
- List every task agents perform and mark each one critical, important or nice to have.
- For critical tasks, write the manual fallback in two lines (who does it, using which system).
- Confirm you can export CRM records, notes and files today. Do a test export.
- Copy out the standing instructions and rules for each agent into a document you control.
- Confirm how long logs are kept and how to download them.
- Know your contract terms: notice period, cancellation, what happens to your data after you leave.
- Check that phone numbers used for calls and SMS can be ported or redirected.
- Keep the list of integrations and access grants so you can revoke them in one sitting.
- Name the person who decides to switch to fallback, and how they will be told about an outage.
- Re-run the portability drill after any major model change.
Questions to ask any AI vendor, including us
| Question | A good answer | A red flag |
|---|---|---|
| Which model providers do you use, and can you switch? | Names more than one and explains the process | "We only use X" with no plan |
| How much notice do you give before changing models behind my workflows? | A defined process with testing | Changes happen silently |
| Can I export my records, instructions and logs? | Yes, in standard formats, self-serve | Only on request, or only partly |
| What is the minimum contract term? | Monthly, cancel anytime | Long lock-in with exit fees |
| Where is my data stored and processed? | Specific answer, including sub-processors | Vague or "in the cloud" |
| Who owns phone numbers and channel accounts? | You do, or they can be transferred | The vendor, with no transfer path |
| What happens to my data after I leave? | Deletion on a stated schedule, with confirmation | No stated policy |
Where data goes is its own topic, especially in Australia, where the Privacy Act's cross-border disclosure rules apply. Our security writers explain it in sovereign AI in Australia. The OAIC's guidance on commercially available AI products also says due diligence should be ongoing, not set and forget.
How Fulcrum Cortex approaches lock-in
We are a vendor too, so judge us by the questions above. Here is what we can say from our published facts. Cortex lists several model and cloud providers among its integrations, including Anthropic, OpenAI, AWS, Microsoft Azure, Google Cloud and SCX.ai, which offers sovereign AI models. Agents connect to your own Google Workspace, Microsoft 365 or Zoho mailbox and to CRMs and accounting systems such as HubSpot, Salesforce, Xero and MYOB, so records stay in systems you control. Plans are monthly and cancel anytime. Cortex is 100% Australian owned.
What we can't do is make any provider immune to outages, including ourselves. That is why the exit plan above belongs to you, not to us. Lock-in also shapes the consolidation decision; if you are thinking of retiring tools, read our SaaS consolidation maths with this checklist beside it.
For how Cortex handles data and access, see our privacy page, and bring your vendor questions to a demo.
Frequently asked questions
What is AI vendor lock-in?
It is dependence on one AI provider that makes it costly or slow to leave, or that leaves your business stuck if the provider has an outage, raises prices, changes policy or retires a model. It is reduced by owning your data, instructions and logs, and keeping workflows portable.
How do I avoid being locked into one AI model?
Keep your instructions as plain text, keep records in systems you can export from, and test your most important tasks on an alternative model every quarter. Prefer vendors that support more than one model provider and monthly terms.
What happens to my AI agents if OpenAI or Anthropic goes down?
Tasks that depend on that provider stop or slow down until it recovers, unless your setup can route to an alternative model. Plan which tasks can wait, which have a manual fallback and who decides to switch.
Can I export my data from an AI agent platform?
You should be able to, and you should check before signing up. Ask whether records, standing instructions and logs can be exported in standard formats, and do a test export in your first week.
Sources
- Summary of the Amazon DynamoDB Service Disruption in the Northern Virginia (US-EAST-1) Region · Amazon Web Services
- Model deprecations · Anthropic
- Guidance on privacy and the use of commercially available AI products · OAIC
General information only, not legal, financial or professional advice. Check the source for your circumstances.



