Graft AI starts from how companies actually work across legacy apps, internal tools, and screen-based workflows. It learns steps, decisions, permissions, exceptions, and success conditions, then turns them into stable tools for agents with approvals, audit trails, verification, and UI-drift repair built in.
Features
- Legacy and internal tool mapping
- Living operational map
- Stable agent tool interface
- Permissions and approvals
- Audit and verification
- UI drift detection and repair
Use Cases
- Agent-enabling legacy systems
- Screen workflow automation
- Enterprise operations mapping
- Safe approval-based execution
- Internal tool operation
- Agent reliability governance
FAQ
Graft AI starts from how companies actually work across legacy apps, internal tools, and screen-based workflows. It learns steps, decisions, permissions, exceptions, and success conditions, then turns them into stable tools for agents with approvals, audit trails, verification, and UI-drift repair built in. Core capabilities include: Legacy and internal tool mapping, Living operational map, Stable agent tool interface.
Common scenarios include: Agent-enabling legacy systems, Screen workflow automation, Enterprise operations mapping.
