Solutions

Governance & audit evidence

Turn agent activity into evidence a regulator will accept.

A descending spiral of sealed, timestamped audit records
Turn agent activity into evidence a regulator will accept.

Governance moved from a policy document to a board-level control in a single year. Orcher produces the artifact that governance actually requires: a hashed record, per action, naming the human whose authority was exercised and the verification that cleared it.

The problem

  • Logs are rotated, redacted, and disputed; they are not evidence of authorization.
  • Agent registries record that an agent exists, not that an action was authorized.
  • Mapping a new regulatory requirement to controls takes most enterprises weeks.

The Orcher approach

  • Every directive produces one Verified Execution Cycle with a permanent hashed record.
  • Evidence packages export per regime and per period without a reconstruction project.
  • Role bindings make non-repudiation structural rather than procedural.

The evidence problem, stated plainly

Every enterprise running agents can produce logs. Almost none can produce evidence. A log says a request was made and a response was returned. An auditor, a regulator, or opposing counsel is asking a different question: who authorized this specific action, under what role, on the basis of which verified facts, and can you prove the record has not been altered since.

That gap is not a tooling shortfall. It is structural. Authorization was never captured as a first-class object, so it has to be reconstructed afterwards by correlating identity logs, application logs, and model telemetry that were never designed to agree with each other. Reconstruction projects are expensive, slow, and — when the evidence matters most — inconclusive.

What Orcher produces instead

Orcher captures authorization before execution rather than inferring it afterwards. The directive is signed by a named professional, bound to their role, verified against systems of record, and hashed into an append-only ledger together with the action it produced.

The output is a Verified Execution Cycle: a single record that answers the authorization question completely, per action, without correlation. Evidence packages are exported scoped by regime, period, role, or system — the same underlying record satisfies an internal audit, a supervisory enquiry, and a litigation hold.

Why review queues do not close the gap

The instinctive control is a human approval step. The evidence says it does not work at scale. Unaided professional accuracy on these decisions sits around 82%; in the presence of confidently wrong AI advice it falls to 45.5%. Approval gates that present hundreds of plausible actions under time pressure manufacture rubber-stamping and call it oversight.

Orcher moves the control from review to verification. The Logic Scrubber re-derives the facts an action depends on from the systems of record, in a separate process boundary, and halts anything that does not reconcile. Humans keep the authority; they stop being the throughput bottleneck and the liability sink.

Three widening phases of deployment moving across a dark field
One workflow, proven end to end, before anything scales.

Rollout

How a deployment actually starts

One workflow, proven end to end, before anything scales.

  1. 01

    Pick one governed workflow

    A single high-consequence workflow with a clear system of record and a named professional who owns the outcome.

  2. 02

    Model the directive and role

    Define the directive shape and map the role's real authority — limits, populations, jurisdictions — against your identity provider.

  3. 03

    Wire verification

    Connect the Logic Scrubber to the systems of record that hold the facts the action depends on, and set the halt semantics.

  4. 04

    Prove the evidence package

    Run the workflow, then export the evidence package and put it in front of the audit function before scaling to the next one.

What you get

Per-action authorization evidence

Every committed action carries its directive, role, and verification result in one hashed record.

No reconstruction projects

Evidence is exported from the ledger rather than assembled from correlated log stores.

Defensible halts

Actions that do not reconcile are recorded as halts with structured reasons, which is itself evidence of a working control.

Questions

What enterprises ask first

Does this replace our GRC platform?
No. It supplies the artifact GRC platforms have never been able to obtain from an agent stack: per-action proof of authorization, rather than an attestation that a policy exists.
Which regimes does the evidence package map to?
Packages are scoped per regime and period. The underlying record is regime-agnostic — it captures authorization, verification, and integrity, which is what every regime is ultimately asking for.
Can we start without changing our agent framework?
Yes. Orcher governs the boundary — directive in, verified action out — so existing agents and orchestration frameworks keep running underneath it.

Most often bought for

Industries running this, and the components behind it

Derived from the Orcher components this solution engages.

Proof

Measured, sourced, and cited

38%

of enterprises can name an owner for agent decisions

from 7% — Vol. I, p.2

6 days

to map a new requirement to controls, versus 11 weeks

Vol. I, p.29

8–12%

of AI budget now spent on governance

from 3–5% — Vol. I, p.23

Components engaged

How Orcher delivers it

Bring a directive. We will show you the cycle.

Briefings walk one of your real workflows through the seven components end to end.