Comparison · Build vs Buy
Old ERP: replace it or augment it with AI
Rebuild the legacy ERP from scratch, or keep it and add the AI layer it lacks. What actually pays off for an SME.
In brief
Augment your legacy ERP with AI agents (option B) if it still holds up core processes but lacks automation: first delivery in 4 weeks, lower cost, lower risk, and you see straight away whether the missing layer adds value. Replace it fully (option A) if the vendor is gone, data is locked, or core processes are no longer supported, not just because it's old. Measure where it hurts first, then decide.
Option A
Replace the legacy ERP
Rebuild or migrate the whole ERP onto a new platform, with data and processes reconstructed from scratch.
Pros
- +You remove technical debt at the root: a clean, maintainable base
- +One system to run, fewer fragile integrations
- +You can redesign obsolete processes instead of inheriting them
Cons
- −Long, costly project: data migration is often the riskiest part
- −Risk of operational downtime during cutover
- −The team has to relearn everything, with change resistance
- −You also rebuild the parts that already worked fine
Best for
- Firms with a closed-vendor or unsupported ERP
- Companies whose core processes are no longer supported by the current system
- Those with data locked in a non-extractable format
Option B
Augment it with AI agents
Keep the ERP and add AI agents that read and write to its data to cover the missing piece (extraction, reconciliation, reporting, triage).
Pros
- +First working version in 4 weeks, not months
- +No downtime: the ERP keeps running as-is
- +Lower risk: with Soraia you pay only if the agreed target is met
- +You cover the missing value without touching the core
Cons
- −The ERP's technical debt stays underneath
- −You need a way to read/write the data (API, export, database)
- −It doesn't fix deep structural limits of the legacy system
- −It adds one more component to maintain
Best for
- SMEs whose ERP works but lacks automation on some processes
- Those wanting to free hours on finance, ops or support without stopping operations
- Those wanting to validate value before a replacement project
| Criterion | Replace the legacy ERP | Augment it with AI agents |
|---|---|---|
| Time to first result | Months (migration project) | 4 weeks (first delivery) |
| Operational risk | High (cutover, data migration) | Low (ERP stays live) |
| Upfront cost | High, hard to phase | Assessment ~2,000, Sprint 10-50k |
| Technical debt | Removed at the root | Stays underneath, mitigated on top |
| Team impact | Relearn everything | Little changes for users |
| Reversibility | Low once migrated | High, client owns the code, no lock-in |
The verdict
It's not 'old, so bin it'. If the ERP holds up your core processes but lacks automation on finance, ops or support, augmenting it with AI agents is almost always the smarter move: in 4 weeks you see the value, without stopping operations and with the code already yours. Full replacement pays off when the system is genuinely at the end of the road (vendor gone, data locked, core processes no longer supported) or when the AI layer would just be a patch on an unmanageable base. The right question isn't 'new or old', but 'where does it actually hurt, and what's the cheapest way to cure it'.
FAQ
What people usually ask us.
Is augmenting with AI just delaying the replacement?
Can AI agents actually read data from an old ERP?
How much does augmenting cost versus rebuilding the ERP?
What if I later decide to replace the ERP anyway?
What if the AI layer doesn't deliver the expected value?
Not sure which one fits your case?
20 minutes with the CEO to work out the right choice for your processes. No pitch, no obligation.
