Bounded AI: a practical governance model for mid-market companies
Approved sources, a named reviewer, logged activity and a stop-the-line path. Everything beyond that is documentation.
Executive summary
- Mid-market companies rarely need an enterprise AI policy framework; they need four controls implemented inside the workflow.
- Governance designed after deployment is inspection. Governance designed into the workflow is quality.
- Bounded scope is a performance decision as much as a risk decision.
The governance conversation usually starts with a policy document and ends with an approval committee. Neither changes what happens at the point of work. The controls that hold are the ones embedded where the output is produced and consumed.
The four controls that carry most of the weight
- Approved data sources, defined per capability rather than per organization.
- A named human reviewer for every consequential output, identified by role.
- Activity logging with retention aligned to the company's obligations.
- A stop-the-line escalation path any operator can trigger without seeking permission.
Why bounded scope improves results
A capability with a narrow definition, defined inputs and explicit refusal behavior is easier to evaluate, easier to explain and more reliable in production. Broad, open-ended assistants are harder to measure and harder to defend when something goes wrong.
Classification before implementation
Classify each use case by data sensitivity and decision consequence before building. A drafting assistant over internal documents and an assistant that touches customer commitments are not the same control problem, and should not receive the same oversight.
The bounded AI control model
- 01
Classify
Rate each use case by data sensitivity and decision consequence.
- 02
Bound
Define inputs, outputs, scope limits and refusal behavior.
- 03
Source
Approve the data the capability may read, and nothing else.
- 04
Review
Name the role that reviews consequential output before it leaves.
- 05
Log
Record inputs, outputs, reviewers and overrides with defined retention.
- 06
Stop
Give every operator an escalation path that halts the automated route.
Applied to a document-heavy process
A firm implemented retrieval over its internal precedent library. The capability was bounded to approved documents, returned citations with every answer, and refused to answer where no source supported it.
Consequential outputs — anything reaching a client — required review by a named role. Activity was logged with a retention period the firm defined. The control model was four decisions, made before the build, not a policy written after it.
Action checklist
- Classify every use case before approving a build.
- Define approved data sources per capability, not per company.
- Require citations wherever an answer supports a decision.
- Name the reviewing role for each consequential output path.
- Log inputs, outputs, reviewers and overrides from day one.
- Test the stop-the-line path with real operators before go-live.