Workflow Governance
Workflows are where Worka becomes powerful. They are also where Worka can become difficult to control if you are not careful.
A workflow may involve:
- multiple AI team members
- several tool calls
- service connections
- hooks and hand-offs
- approvals
- publication or sharing decisions
Your job is to make that power explicit and reviewable.
What governance needs to answer
For each important workflow, you should be able to answer:
- who can start it
- which AI team members may participate
- which tools they may use
- what can happen automatically
- what requires approval
- what must happen mechanically through hooks rather than AI judgment
- what final outcomes are allowed
If those answers only exist in prompt text, you do not have enough governance.
AI team members and tool access
Workflow governance starts with the roles inside the workspace.
Each AI team member should have:
- a clear job
- a bounded tool surface
- clear approval rules
- clear hand-off rules
That gives you something concrete to review. A workflow built from vague all-powerful roles is harder to govern than one built from narrow named roles.
Hooks and mechanical policy
Hooks are part of workflow governance because they turn important behavior into rules rather than suggestions.
Use them when:
- a hand-off must always happen
- a result field must always be copied forward
- a task must not complete without a condition being met
- a known failure must always route to review or rework
Where the AI should exercise judgment, let it. Where the platform must behave predictably, use hooks.
Approval boundaries
Approval rules are one of the clearest signs that a workflow is governed rather than merely automated.
Typical approval boundaries include:
- attaching a new pack
- exposing a shared or public view
- making a service public
- connecting a new external system
- sending a customer-facing message
- publishing a release
Make those boundaries visible in the workflow so users know what is waiting and why.
Reviewing a workflow
When reviewing a workflow, walk it in order:
- what starts the work
- which role receives it first
- what data is passed forward
- where tool calls happen
- where approvals happen
- what the terminal outcomes are
If you cannot explain the workflow in that order, it is probably too opaque for production use.