Trust infrastructure for consequential AI operations

When AI makes an important decision, you need proof.

Audrith gives organizations a verifiable record of who acted, under what authority, with what human oversight, and with what outcome.

Apply for a pilot See Witness live
AI-assisted hiring
Human approval trail
Witness Receipts
Decision Replay
Audit export
No free tier · No self-serve · Serious deployments only
The problem

AI can act.
Most companies still cannot
prove what happened.

As AI moves into hiring, approvals, routing, and other consequential workflows, the risk is no longer theoretical. When a decision is challenged, most teams still cannot clearly show the actor, the authority, the human review path, or the preserved record.

✕
No agent identity
When an agent acts, there is often no clear record of which agent, under what permissions, in what operational context.
✕
No authorization proof
Even when a decision is visible, it is rarely clear whether the agent was authorized to act under those exact conditions.
✕
No human oversight trail
When human review is needed, the approval is often informal. No timestamp. No reviewer on record. No defensible proof it happened.
✕
No structured proof object
Organizations cannot produce a coherent, portable record of what happened when an important AI-assisted action is questioned.
How it works

From black-box action
to defensible record.

Witness sits between your agents, your humans, and your audit trail. Every important operation flows through a structured, authorized, and verifiable path.

01
Identify the agent
Every agent has a Passport — identity, mission, organization, permissions, and oversight requirements. Not a black box. An operational entity.
02
Attach context and policy
Each operation runs inside a Mission Channel that ties participants, context, authorization references, and the relevant policy together.
03
Capture human oversight
When a human decision is required, Witness surfaces the request explicitly. Reviewer, timestamp, and outcome are all recorded.
04
Issue a Witness Receipt
Every consequential operation ends with a structured proof object — portable, human-readable, and verifiable by the organization and the affected person.
Core system

Five product objects.
One provable operation.

Audrith is built around five core objects that turn consequential AI-assisted decisions into records that can actually be defended later.

🤖
Agent Passport
Identity before action
Name, mission, permissions, ownership, oversight level, and operational history. The agent is no longer anonymous.
◆
Mission Channel
A secure operational thread
Context, policy, participants, decision state, and system actions — all in one auditable thread.
⚠
Approval Thread
Human oversight made visible
When escalation is required, the request, the reviewer, the timestamp, and the rationale are captured on record.
🧾
Witness Receipt
A structured proof object
Operation type, agent identity, authorization state, review status, result, and record integrity — all preserved together.
⏱
Decision Replay
Step-by-step reconstruction
When a decision is questioned, the company does not improvise. It replays the operation chronologically.
Mission Channel

Not a chat.
A secure operational thread.

Every important AI operation runs inside a Mission Channel — with identity, policy, human approval, and a Witness Receipt at the end. Not a conversation. An operation with proof.

🤖
Identity on every message
Every agent is identified, authorized, and operating under a verifiable mission scope. No anonymous actions.
📋
Context and policy attached
Every thread carries the mission context, the applicable policy, and the authorization reference. Always visible, always verifiable.
⚠
Human approval built in
When the operation reaches a decision boundary, the approval request surfaces inline. Reviewer, timestamp, outcome — all on record.
🧾
Witness Receipt at the end
Every important operation closes with a signed, immutable proof object — accessible by the organization, the affected person, and authorized reviewers.
Mission Channel vs Chat
PurposeOperational proof, not messaging
ParticipantsAgents + humans + policy
OutputWitness Receipt
AccessOrg + affected person + reviewers
audrith / mission channel
◆
# hiring / candidate-review
candidate_batch_march_2026 · Auth AR-0091 · Policy v2.3
Secure
In channel
🤖 Hiring Agent 04
📋 Scout
👤 Sarah M.
AR-0091 active
🔒
AudrithSystem14:21:52
Mission opened. candidate_batch_march_2026. AR-0091 active. Policy v2.3 loaded.
🤖
Hiring Agent 04Agent14:21:59
Mission received. Candidate #3847 loaded. Policy v2.3 active.
Identity verifiedAR-0091 active
📋
ScoutAgent14:22:01
Context validated. 4 docs parsed. No anomalies. Passing to Hiring Agent 04.
🤖
Hiring Agent 04Decision14:22:04
Recommendation: Reject — role mismatch. Confidence 87%. Human approval required.
⚠ Human approval required
👤
Sarah M. is reviewing
⚠ Approval request — Sarah M.
👤
Sarah M.
Hiring Manager
Candidate #3847 — rejection recommended. Role mismatch. Confidence 87%. Policy v2.3.
🔒
Secured operational thread — read only
Witness Receipt

Not a log.
Not a screenshot.
A proof object.

A Witness Receipt shows the operation type, timestamp, agent identity, authorization state, human review status, result, and record integrity. When a decision is questioned, the company does not improvise. It produces the record.

✓ Signed by Audrith
✓ Immutable record
✓ Publicly verifiable
✓ Human-readable
WIT‑24A9‑1187 Witness Verified
operation_typecandidate_screening
timestamp2026-03-12 14:22:08 UTC
agentHiring Agent 04 · AUD-0482
missionCandidate Screening
authorizationAR-0091 — valid at time of action
human_reviewApproved — Sarah M.
operation_resultcandidate_rejected
recordImmutable — signed by Audrith
Cryptographic signature 0x4f2c...a719
First deployment

We start where the proof requirement
is already real.

AI-assisted hiring is the right entry point because the risk is immediate. AI can screen, rank, recommend, reject, or route candidates — but when those decisions are challenged, companies need more than screenshots and internal notes.

Without Witness
The company has activity, but not proof.
  • A candidate is rejected, but there is no structured record of which model or agent made the recommendation.
  • Human review may have happened informally, but no reviewer, timestamp, or approval state is preserved.
  • Legal, Talent, or leadership teams end up reconstructing the decision from screenshots, notes, and system fragments.
  • When challenged, the organization can explain what it thinks happened — not prove what did.
With Witness
The decision becomes reconstructable and defensible.
  • The acting agent is identified, the mission context is attached, and the authorization state is visible.
  • Human approval checkpoints are captured explicitly when review is required.
  • A Witness Receipt is issued at the end of the operation with the result and integrity record.
  • Talent and Legal teams can replay the decision path and export a coherent audit trail.
Public lookup

Were you affected by
an AI operation?

Enter your Witness Receipt number to retrieve a structured, human-readable record of what happened.

Free access — no account required — results in seconds
Pricing

Infrastructure pricing.
Not tool pricing.

Audrith is not sold like a lightweight SaaS widget. It is deployed where AI decisions carry legal, operational, and reputational consequences.

No free tier · No self-serve · Serious deployments only
Defending an important AI decision without a record is far more expensive than running a fixed pilot.
Fixed Pilot
$7,500 fixed scope
A 6–8 week fixed-scope deployment for one live workflow. Clear start. Clear end. Clear production decision.
  • 1 live workflow instrumented
  • Mission Channel setup
  • Approval logic captured
  • Witness Receipt flow configured
  • Audit export baseline
  • Founding team involvement
  • Defined scope and end date
  • Production decision at the end
Apply for pilot
Default Production Plan
Professional
$3,500 / month
The default production plan for teams running AI-assisted hiring workflows with a real audit, legal, and governance requirement.
  • Up to 5 workflows
  • 5,000 Witness Receipts / month
  • Decision Replay
  • Audit Export
  • API access
  • 36-month retention
  • NYC / EEOC / EU AI Act documentation
  • Priority support
Book a demo
Enterprise
Typically $5,000–12,000 / month
For larger deployments, multi-workflow environments, advanced integrations, extended retention, and deeper governance requirements.
  • Unlimited workflows
  • Unlimited Witness Receipts
  • Advanced governance
  • Extended retention options
  • Custom integrations
  • Protocol-level access
  • Dedicated support
  • Custom legal / procurement package
Talk to us
Pilots convert to Professional by default.
Clear path · No free tier · No self-serve
Get started

Trust is not enough.
Important AI operations need proof.

Deploy Audrith on one real workflow. Get a working Witness trail, a proof object, and a clear production decision in weeks — not months.

  • One real workflow, not a vague sandbox
  • Fixed-scope pilot with founding team involvement
  • Clear output: Witness trail, audit export, conversion decision
  • Only 3 founding design partner slots
Pilot → Professional → Enterprise when scope expands

Apply for a pilot

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