Make AI observable, controllable, auditable, and safe enough for enterprise use.
Governance built in from the start, not added after an incident.
The controls that make AI safe enough for production.
Access scoped by role, never broader than the task requires.
Explicit rules for which models and data sources a given workflow may use.
Agents act only within a defined, auditable set of tools and actions.
Sensitive data handling defined before an agent or model can reach it.
Full request-level logs across models, agents, and data connectors.
Structured evaluation and human approval gates before production actions.
Explicit handling for adversarial input and sensitive-data exposure.
A defined process for responding to and learning from AI-related incidents.
No architecture can guarantee legal compliance on its own. We design systems to support your governance and compliance requirements — final validation remains a legal and contextual determination.
Agents operate within an explicit, auditable set of tools and actions — never open-ended autonomy.
Every action is logged at the request level, so incidents can be traced and addressed — not just noticed after the fact.