AI · Platform
A flexible AI backend, not locked to one model provider.
Underneath the Assistant, Agents and every other AI capability sits a model-provider abstraction — so Spark ERP is not wired to a single AI vendor. As models and providers improve, the platform can adopt them without every application being rebuilt.
A platform seam, not a bolted-on feature
AI is implemented as a platform service, the same way identity, workflow and integration are — a capability every application built on Spark ERP can call into, rather than something each team wires up on its own.
What that gives you
Provider independence
The platform is built to work with more than one AI model provider, so you are not locked to a single vendor's roadmap or pricing.
Consistent permissions
Every AI feature reads and writes through the same entity model and role-based access control as the rest of the application.
One audit trail
AI-driven actions show up in the same audit trail as a human-driven one — nothing happens on a side channel.
See where AI behavior is configured.
AI Studio is where administrators control which AI features are enabled and how they behave for a tenant.