Evidence infrastructure for autonomous systems

Authority should not be granted on promise.

It should be earned.

Earned turns independently verified performance into bounded, explainable and revocable operating capacity.

Conversations with founding design partners are now open.

Capacity envelope revocable
Scopetask-specific
Evidenceindependently verified
Controlbounded · expiring
Performance earns capacity.
Evidence determines its boundary.

A reliable history in one task does not create universal trust. Earned converts relevant evidence into a precise permission envelope for a specific action, context and period of time.

From track record to operating authority.

No universal reputation score. No opaque trust badge.

  1. 01

    Capture what happened

    Actions, conditions and outcomes are recorded as separate, traceable facts.

  2. 02

    Establish what is proven

    Only independently supported, task-relevant evidence enters the decision basis.

  3. 03

    Compile the boundary

    Policy converts that evidence into limited, explainable and revocable authority.

Not a score.
A machine-executable boundary.

Action
What may be done
Scope
Where and for whom
Limit
How far it may go
Oversight
When a human or system must intervene
Expiry
When authority must be earned again

Bring one real decision boundary.

Start with a consequential workflow in which an AI agent is ready to act—but the evidence for granting it more authority is still unclear.

The first engagement reconstructs one decision from the evidence available at the time and turns it into an explicit authority boundary.

  • 01Boundary map for one real agent action
  • 02Evidence gap analysis showing what is proven and missing
  • 03Decision memo with bounded, reviewable next steps
No production integration required Redacted inputs can be used first Your team retains decision control
Talk about your workflow

Minimum data.
Explicit boundaries.

The engagement begins with the smallest evidence set that can answer the question—not unrestricted access to your systems.

01

Start redacted

Sensitive identifiers can be removed before the first assessment.

02

Separate evidence from claims

Observed facts, outcomes and interpretations remain distinguishable and reviewable.

03

Agree the lifecycle

Access, retention and deletion are defined before real material is transferred.

04

No silent expansion

Evidence from one task cannot justify broader authority without a new decision.

Ivan Bondarenko

Founder, EARNED

Ivan is an operator and systems builder working from first-hand experience of decisions made under incomplete information. EARNED develops that work into an evidence discipline for the agentic economy: authority expands only when relevant performance has been demonstrated.

EARNED is an early-stage independent initiative emerging from ongoing Project ATLAS research. The present design-partner program validates a specific commercial use case; it is not a production certification or a universal trust score.