Use cases / Risk, legal and compliance
AI Compliance Automation
Collect evidence and monitor controls continuously instead of at audit time.
01
Problem
Compliance teams chase screenshots and spreadsheets before every review. Evidence is stale the day it is gathered.
02
AI capability
Map controls to systems, collect evidence on a schedule, test controls, and raise gaps with the supporting records attached.
03
Data
The agent works from the context you connect, not from the open internet by default.
- Control library and policies
- System configuration and logs
- Access reviews
- Platform audit records
04
Agent
Compliance Agent
Gathers evidence, tests controls and drafts findings for the control owner.
05
Workflow
- 1. Map control to source
- 2. Collect evidence
- 3. Test control
- 4. Detect gap
- 5. Raise to owner
- 6. Track remediation
- 7. Package evidence
06
Governance
Governance runs inside the agent at runtime: policy changes what it can actually do.
Can
- Read configuration and logs it is granted
- Run read-only control tests
- Draft findings
- Package evidence
Cannot
- Change system configuration
- Mark a control as passed without evidence
- Edit audit records
- Attest on behalf of the organization
Requires approval
- Closing a finding
- Sharing evidence externally
- Adding a control to scope
Records
Agent identity, Data accessed, Model used, Output, Tools called, Policy applied, Decision, Approval, Action, Outcome.
Suggested starting autonomy: L2 Approve
Start at L2 because findings and attestations are accountable decisions; the agent prepares, an owner approves.
07
Outcome
What you measure, so the agent earns more autonomy on evidence:
- Time to assemble evidence for a review
- Controls with current evidence
- Gaps found between audits
- Remediation time
Questions
Does this make us compliant?
No tool does that on its own. Swfte provides the technical controls, governance mechanisms and evidence required to deploy AI within your applicable regulatory, security and policy requirements. The exact posture depends on your use case, jurisdiction, deployment and configuration.
Can it support EU AI Act work?
It can help organize risk records, human oversight rules and evidence that such work needs. Legal interpretation remains with your counsel.