Meeting legacy software where it is
Older systems weren't built with AI in mind, but most expose a way in: a database, an export, a file drop, a screen, or an aging API. The craft is choosing the least invasive connection that's still reliable.
- Reading from the existing database or a read replica when there's no API
- Wrapping legacy functions in a thin, modern API layer
- Working through scheduled exports and file exchanges where that's all there is
- Screen or document automation as a last resort when nothing else exists
- Keeping the legacy system as the source of truth, untouched where possible
Reducing risk to a running system
The system you're adding AI to is probably load-bearing for your business, so the priority is not breaking it. We isolate the new work and add it alongside, not inside, the fragile parts.
- Running AI as a separate service so it can't crash the core system
- Read-only access first, with writes added deliberately and audited
- Staging against a copy before touching anything live
- A rollback path and monitoring from day one
- Rate limiting so integrations don't overload an older system
A path forward, not a forklift
This approach also buys you optionality. The abstraction layer we add can outlive the legacy system, so if you do modernize later, the AI features move with you.
- Incremental delivery, with one integration point proven before the next
- An interface that survives a future migration
- Documentation of the legacy system's real behavior as we learn it
- Honest guidance when a small rebuild is genuinely cheaper than a workaround
More on ai integrations
Frequently asked questions
Our system is really old and has no API. Is this even possible?
Usually yes. If there's a database, a file export, or even just screens a person uses, there's typically a safe way to connect AI. We assess what access exists and recommend the least invasive option that's reliable.
Will adding AI risk breaking the system we depend on?
We design specifically to avoid that. The AI runs as a separate service, starts read-only, and is tested against a copy before anything live. Your existing system stays the source of truth.
Should we just replace the old system instead?
Sometimes, but that's a big, risky project. Often a targeted AI integration delivers the value you're after for far less. We'll tell you honestly which path fits your situation rather than defaulting to a rebuild.