AI governance layer

Agentic workflows should leave evidence, not anxiety.

Grace OS wraps agentic work in defined authority, policy gates, evidence lineage, action records, and human control. Your organization can inspect what the system was asked to do, what it used, and what it changed.

Governance designed into the operating layer
ScopedAuthority
GatedConsequential actions
LoggedDecisions + tools
HumanFinal control

The point

Accountability has to be built into the architecture. A policy document cannot supply it after the fact.

A governed system connects identity, purpose, approved context, model choice, tool permissions, intermediate decisions, actions, exceptions, and outcome into one reviewable record. That record supports oversight without pretending the model cannot fail.

01

Task contract

Define the requester, objective, authorized data, permitted tools, constraints, expected evidence, completion criteria, and escalation path before an agent begins.

02

Policy gates

Grace can check conditions before retrieval, model execution, tool use, export, or a consequential action, and route uncertain or disallowed work to a person.

03

Decision lineage

Capture the sources retrieved, model and configuration used, tool calls, outputs, approvals, exceptions, and system state needed to reconstruct the workflow.

04

Human control

Owners decide where automation ends: review, approve, reject, pause, override, or revoke an agent's authority. The consequence of the task drives the governance design.

Work with us

Narrow the authority. Make every action reviewable. The fear goes away.

We will identify the decisions your agents may make, the ones they must escalate, and the evidence reviewers need afterward.

Direct answers

Questions worth asking.

Can every model decision be fully explained?+

Not always. Model internals resist interpretation. The system can still preserve the task, supplied context, retrieved evidence, configuration, tool calls, outputs, approvals, and resulting actions for meaningful review.

Is an audit log enough for governance?+

No. Logs are one control. Effective governance also needs scoped authority, policy enforcement, identity, data boundaries, testing, monitoring, human review, and a defined response when the system behaves unexpectedly.

Can agents act autonomously?+

Only within the authority and controls defined for the deployment. High-consequence work can require approval or remain recommendation-only.