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Use cases

Built for the industries that can't afford to guess.

Deterministic enforcement for AI agents operating in regulated, high-stakes environments. Every action governed before execution.

Industries

Healthcare

Patient data has one boundary: the care relationship.

Clinical assistants and patient-support agents sit next to some of the most sensitive data an organisation holds.

Enforcement pipeline

01Cross-patient record access

Risk

A patient-support agent, given an ambiguous query, retrieves or discusses another patient's records, diagnoses or prescriptions.

Checkpoint
DENY

Agents are scoped strictly to the authenticated care relationship. Cross-patient queries never reach the database.

02Clinical actions without oversight

Risk

An agent modifies a record, schedules a procedure, or alters a care plan based on a single unverified instruction.

Checkpoint
ESCALATE

Any action with direct clinical consequence is paused and routed to a clinician for review before it executes.

03PHI leaking into outputs

Risk

Diagnosis codes, medication names or identifiers appear in a response to someone outside the authorised relationship.

Checkpoint
MODIFY

Sensitive field patterns are detected and redacted before a response reaches the end user or gets logged.

Regulatory frameworks this scenario touches — not certifications CuriousDevs holds

DPDP Act, 2023 (health data)HIPAA (for global deployments)ISO 27001SOC 2

Let something decide for you. Just not unsupervised.

Bring one workflow you are nervous about. We will show you exactly where the checkpoint goes and what it would have stopped last month.

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Questions

The things people ask first

Short answers on how this runs, what it costs you in speed, and what you can hand to an auditor.

A decision checkpoint for software and machines that act on their own — it approves, trims, escalates or refuses each action, and keeps a signed record of why.