Evaluate a consequential AI workflow
Contact BeaconGuard when an AI or agent can move beyond recommendations into actions that communicate externally, update a regulated record, change a production system, affect a patient or customer, or initiate another consequential side effect.
Useful context to include
- Organization and industry
- Your role
- The bounded workflow under consideration
- What exact actions the AI or agent may attempt
- Which identity, delegation, MCP/A2A, API, or application paths are involved
- Which system ultimately executes the side effect
- Which approvals or policy authorities should govern it
- Primary review goal: architecture, security, evidence, or deployment fit
- Approximate timeline
Do not submit
- PHI
- Customer records
- Credentials
- Production secrets
- Confidential evidence packages
Common starting points
Healthcare
AI-assisted patient communication, scheduling, operational updates, or bounded discharge operations.
Financial services
AML/KYC, fraud, dispute, customer communication, case-state, or other customer-impacting actions.
Internal automation
Agents or automations capable of consequential changes to production systems.