Give useful AI work an accountable path.
Take a known, unapproved workflow and define where it can send data, which actions it can perform, and who owns the exceptions.
The action to govern
Export customer records
A useful shortcut can become an uncontrolled data transfer.
A support team builds an assistant to summarize customer cases. When that assistant exports records to an outside service, a local productivity tool becomes a security and ownership question. Start with that concrete boundary.
The summary can proceed. The data export is blocked.
After the workflow is connected to the governed path, a request to send customer records to an unapproved destination meets an explicit data policy.
Export customer case records
The export contains customer data and targets an unapproved external service.
- Requested by
- Support assistant
- Data
- Customer case records
- Destination
- Unapproved external service
Applicable rule
Customer records may only be sent to an approved destination.
Blocked
The records remain in the source system. The team can use an approved destination or seek a policy review.
Turn the known workflow into a managed service.
Agree the useful task with the team that built it, then set an owner and verify the access and data boundaries needed to operate it.
Business team
The task worth keeping
Describe the actual workflow, its users, and the systems it reads or changes.
Security team
The data boundary
Approve destinations, data scope, and conditions that require additional review.
Platform team
The managed path
Connect the workflow to the controls and verify credentials, coverage, and ownership.
Execution Lineage
See which boundaries were actually enforced.
Use recorded actions and policy outcomes to review the connected workflow. Evidence describes that configured scope and helps the team identify the next boundary to address.
Explore Lineage Explorer- Which workflow made the request?
- The agent identity, action, and associated execution context.
- Where was the data going?
- The requested destination and the policy evaluated for the transfer.
- What happened at the boundary?
- The permitted action, required review, or denial and its reason.
Define what a successful evaluation must show.
Bring one workflow, the action you need to control, and the people who own its rules. Agree the integration scope and acceptance criteria with KLA.
Discuss your workflow- An approved destination supports the intended business task.
- A restricted export is stopped at the connected action boundary.
- The team records what is covered and resolves any direct access outside that path.
Does KLA discover every unapproved AI tool?
This use case starts with a known workflow and connects its execution path to governance. Organization-wide discovery of unapproved applications requires the appropriate inventory and security tooling.
Can the team keep its existing assistant?
That depends on its runtime, tool interfaces, and access model. Map the current workflow first, then validate an integration that covers the consequential actions and data transfers.
Where should we begin?
Choose a known workflow that handles sensitive data or writes to a business system. Identify its owner and destination systems, then test both approved and prohibited actions.