Replacing legacy SaaS with an AI-orchestrated layer can cut real cost and complexity — but only if the migration is done carefully. A big-bang cutover is how migrations go wrong. Here’s the phased method, and how dgm handles it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)
What “migrating off legacy SaaS” means
It means moving workflows (and their data) off separate legacy tools and onto an AI-orchestrated layer that carries out the same work — so you run fewer tools, with less glue between them (see how to replace your SaaS stack with AI). It’s a consolidation, not just a swap.
The phased method
- Map the stack. What you run, what overlaps, what each costs (see AI tooling audit).
- Pick one workflow to migrate first — a clear win, not your most critical system.
- Migrate it — move the workflow and its data onto the AI layer.
- Run in parallel briefly — keep the old tool live until the new version is proven, as a fallback.
- Retire the old tool once the new one is validated.
- Repeat per workflow.
This keeps operations running throughout and de-risks each step.
Don’t forget data migration
Getting your data out cleanly is a key step — and a place where lock-in hides (hard-to-export data traps you). Check export and portability before committing, and migrate and validate data per workflow so nothing is lost or corrupted.
Keep what genuinely works
Don’t migrate for its own sake. Keep best-in-class tools that do something uniquely well; migrate the overlapping ones and the ones that mainly shuffle data. The goal is lower cost and complexity, not change for change’s sake.
How dgm helps
dgm maps your stack in its $399 assessment, then migrates workflows in phases onto osFoundry — built to consolidate SaaS — at $3,999/month, running old and new in parallel where prudent, validating data, and keeping what works. If you’d rather explore the platform yourself first, go straight to osFoundry; if you want a careful migration, that’s where dgm comes in.