From vendor packet to governed approval path.
See the actual flow: intake, record creation, packet review, approval routing, request-more-info, and clean handoff inside one runtime.
How the workflow runs.
From intake to clean handoff, every step stays inside the same governed runtime.
Capture the packet.
Create the governed record, attach files, and structure the intake instead of chasing the request across inboxes and shared drives.
Review and route.
Let AI summarize completeness or risk while the workflow decides which approval or request-more-info branch comes next.
Approve with control.
Keep people in the decision path with explicit approval states, lifecycle controls, and traceable execution history.
Hand off cleanly.
Send an approved package, task, or notification once the packet is approved, so the next team starts with a complete record and clear context.
What the product keeps together
Generated record and forms
The system owns the packet record, files, and operator surface instead of layering notes on top of another tool.
Governed AI review
AI assists inside the workflow rather than acting as an untracked side assistant.
Approval and exception branching
The runtime can pause, request more information, route to another approver, or retry without losing state.
Clean handoff
The workflow ends with an approved package or notification, so the next team receives the record, files, and decision context in one place.
AI stays inside the workflow, not beside it.
AI can review, summarize, and route work, but the workflow still owns approvals, authorization, history, and recovery from intake through handoff.
- The same data model supports files, records, approvals, and history.
- The same approval and authorization rules apply to humans and AI.
- The same runtime history stays intact when the workflow branches or asks for more information.
Use a runtime or approval-history screenshot that proves the workflow keeps state, control, and traceability intact while AI participates.
What an operator can inspect during the run
Current packet state
The operator can see what files are attached, what still needs review, and where the request currently sits.
Approval context
The workflow makes it visible who needs to review, what happened already, and what the next governed branch will be.
History that survives branching
Request-more-info loops, retries, and approval decisions do not erase context. They stay attached to the same workflow history.
A concrete view of approvals in practice.
Your approval policy translates directly into the runtime. Below is a typical readiness-led SMB pattern; yours gets mapped during rollout.
| Spend under $10k / low risk | Spend $10k–$50k / standard | Spend over $50k / high risk | |
|---|---|---|---|
| Requester | Submit packet | Submit packet | Submit packet |
| AI completeness review | Assists | Assists plus flags gaps | Assists plus flags gaps plus risk summary |
| Finance operator | Reviews | Reviews and approves | Reviews |
| Controller or CFO | Not required | Approves | Approves |
| Security or IT | Not required | Not required | Required before approval |
Workflow questions
Do we need a supplier portal to get started?
No. Teams can start with governed intake records and packet files, then add more supplier-facing experience over time if needed.
Can the workflow match our approval path?
Yes. The rollout is mapped to your packet path, approval sequence, and request-for-more-information loops so the workflow matches how your team actually works.
What does the workflow produce at the end?
An approved package, export, or notification with the record, files, and history intact.
See it on your current vendor-onboarding workflow.
Bring the packet, approvers, and handoff pain. We will show how the runtime would structure the record and the approval path.