AI agents built for regulated work.
We design AI workflows around the controls buyers, compliance teams, and IT reviewers expect: access control, auditability, data minimization, retention, and human oversight.
Compliance is an implementation discipline.
These frameworks are not marketing badges for every project. They guide how we scope data flows, permissions, documentation, and review points for each deployment.
SOC 2 Type II
Useful for vendor reviews because it focuses on whether security controls are designed and operating effectively over time.
GDPR
Relevant when workflows process personal data, especially around lawful basis, minimization, transparency, retention, and data subject rights.
HIPAA
Relevant when workflows touch protected health information and require administrative, physical, and technical safeguards.
What this means in practice.
A secure AI agent is not just a model connected to tools. It is a controlled workflow with defined permissions, observable behavior, and a clear path for human accountability.
Access boundaries
Role-based access, least-privilege permissions, and clear ownership for every connected system.
Audit evidence
Logs, review records, version history, and approval checkpoints that make automated work inspectable.
Sensitive data handling
PII/PHI identification, masking where appropriate, retention rules, and data minimization by default.
Human review paths
Escalation rules for regulated, high-impact, ambiguous, or customer-facing decisions.
Vendor review readiness
Documented architecture, subprocessors, data flows, and deployment controls for security questionnaires.
No blanket compliance claims.
Compliance depends on the client, data type, deployment architecture, vendor agreements, and internal controls. We help design the workflow and evidence package so your legal, security, and compliance stakeholders can review it properly.
