Switching AI tools — check what cannot come with you
Parallel running is the step people cut, and the one that prevents the expensive mistake.
AI Tools Hub Editorial · published · updated
What to check
| Asset | Question | If it cannot move |
|---|---|---|
| Conversation history | Is there an export | Past work becomes unreferenceable |
| Custom configuration | Can instructions be copied | Reconfiguration effort |
| Generated output | Downloadable | Rebuild it |
| Shared team assets | Bulk export for everyone | Per-person handling |
| API integrations | How much calling code changes | Engineering time |
Order of operations
- Export everything exportable, before cancelling anything
- Reproduce your single most important workflow on the new tool
- Run both in parallel for about a month
- Use that month to find what the new one cannot do
- Cancel only once nothing is outstanding
Budget the overlap
A month of parallel running doubles that month's cost. Count it as migration cost up front; skipping it to save money is how you discover the gap after the old tool is gone.
Timing
Avoid your busy season, and align with the renewal date — switching just after an annual renewal discards eleven months. Decide thirty days before renewal, since some contracts set a deadline for stopping auto-renewal.
Not switching is a valid answer
If the migration effort takes more than about twelve months to repay, wait for the next renewal. A better tool is not automatically worth the move.
Keep future options open
Store prompts as text outside the tool and put a thin abstraction in front of API calls. Small effort now, real optionality later.
FAQ
What if there is no export?
Copy what matters by hand or stay. Avoid the situation by checking export capability before you sign.