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AI Safety & Governance
Putting human judgment back in the loop: risk-based review, compliance mapping, and an audit-ready trail over your automated AI workflows — powered by Eloryn.
Last updated 2026-06
As AI agents move into production, the hard part is trust: decision-makers are reluctant to let an agent autonomously move money, modify records, or message customers. This engagement adds enforced oversight to your automated workflows so agents never take critical actions unchecked.
How we work
- Risk profiling — find where AI decisions carry business or compliance risk (customer-facing communication, financial or data modifications) and define the compliance scope (PIPEDA, AIDA, internal policy).
- Risk-based routing — classify every proposed action; low-risk actions are auto-approved and logged, higher-risk actions are held.
- Human-in-the-loop — Eloryn’s Sacred Pause escalates held actions to a human reviewer to approve, edit, or deny, with role-based approval workflows.
- Compliance mapping — tie each policy rule to specific regulatory requirements, with an immutable, exportable audit trail.
- Secured operations — real-time monitoring, audit-ready ledgers, and clear escalation pathways.
What sets it apart
- Deterministic enforcement — intent is evaluated in code, then co-signed before execution.
- An immutable, exportable audit trail designed to support security and compliance review.
- Human-scale review — routine decisions are batched into digests rather than overwhelming reviewers.
- Hardware-key sign-off available for high-risk approvals.