Start redacted
Sensitive identifiers can be removed before the first assessment.
Evidence infrastructure for autonomous systems
Authority needs more than a promise.
Evidence makes its boundary reviewable.
EARNED helps decision owners examine relevant, traceable evidence before they set or revise an agent's bounded operating limit.
Research conversations with decision owners are open.
Capacity envelope
revocable
Scopetask-specific
Evidenceindependently verified
Controlbounded · expiring
The principle
Performance earns capacity.
Evidence determines its boundary.
A reliable history in one task does not create universal trust. EARNED makes relevant evidence legible for a precise decision about one action, context and period of time. The decision owner retains authority.
Conceptual operating model
From a real workflow to a reviewable boundary decision.
Not a certification. A disciplined decision basis for one future operating-limit change.
-
01
Existing boundary
An agent already operates in a defined task and scope; its owner considers whether that scope should change.
-
02
Evidence available at T0
Only independently supported, task-relevant facts available before the decision enter the basis.
-
03
Evidence gaps
Missing, uncertain or unsupported material stays visible rather than being converted into confidence.
-
04
Bounded, reviewable decision
The decision owner can widen, retain or narrow a future scope, limit and oversight condition using the explicit evidence basis.
EARNED is in commercial validation. This is an evidence-reconstruction model, not a production control plane or a certification claim.
A different trust primitive
Not a score.
A decision-ready evidence basis.
- 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
Founding design partner program
Bring one authority-transition decision.
Start with a workflow where an AI agent already operates within a defined limit—but the evidence for widening, retaining or narrowing that limit is unclear.
The first engagement reconstructs one boundary decision from the evidence available at the time, distinguishes it from later outcomes, and documents what the record supports and what remains unknown.
- 01Decision map for one current and proposed authority boundary
- 02Evidence gap analysis showing what is proven and missing
- 03Decision record with bounded, reviewable next steps
No production integration required
Redacted inputs can be used first
Your team retains decision control
Talk about one boundary decision
Data & security
Minimum data.
Explicit boundaries.
The engagement begins with the smallest evidence set that can answer the question—not unrestricted access to your systems.
Separate evidence from claims
Observed facts, outcomes and interpretations remain distinguishable and reviewable.
Agree the lifecycle
Access, retention and deletion are defined before real material is transferred.
No silent expansion
Evidence from one task cannot justify broader authority without a new decision.
Founder
Ivan Bondarenko
Founder, EARNED
Ivan is an operator and systems builder with first-hand experience leading logistics, supplier, customer and delivery decisions under incomplete information. Engineering-trained, he is building EARNED from that operating perspective: authority expands only when relevant performance has been demonstrated.
EARNED is an early-stage independent initiative. The present design-partner program validates a specific commercial use case; it is not a production certification or a universal trust score.