Pre-commercial development
Scale Human and AI Execution with Confidence.
Independent Evidence. Verified Progression. Consequential Enforcement.
The opportunity: scale human and AI execution with less manual oversight and protection from unsupported advancement. Intended benefits, not proven results.
The performing human or AI does not self-certify completion. In HubCop’s proposed model, independently qualifying evidence from other systems governs progression, not the actor’s own “Completed” claim.
Interest in future commercial availability.
Discuss your workflow with HubCop.
Proposed model, not an integrated or operational HubCop system. All three conditions are necessary.
- Condition 1
Independent qualifying evidence
Authorized access to evidence from sources independent of the performing actor, available for independent qualification.
- Condition 2
Defined milestone policies
Explicit rules define which evidence qualifies completion and when progression must wait or be reassessed.
- Condition 3
Enforceable workflow control point
An actual control point in the connected workflow can enforce the decision before the next step executes.
Independent qualification could govern progression at that control point
- Advance
- Evidence qualifies under the milestone policies; permit the next step.
- Hold
- Required evidence is insufficient; the controlled step waits.
- Reassess
- Evidence conflicts or time runs out; review before further progression.
Without all three conditions, independent enforcement cannot be asserted. Evidence access alone, policies alone or a completion claim alone is not enforcement.
Same workflow, two ways to progress
Proposed, illustrative workflow. Example data.
Today
- AI agent reports “Completed”.
- The workflow may advance on that self-report, or on configured rules and manual checks.
- Unsupported handoffs can pass downstream; people re-verify later.
With HubCop · proposed
AI agent reports “Completed”. Recorded as a claim; it cannot qualify itself.
Independent cross-system signals Records from systems other than the agent are checked against the defined milestone.
PASS Evidence qualifies; the next step is permitted.
HOLD Evidence insufficient; the step waits at the configured control point.
ESCALATE Signals conflict or time runs out; a person decides, with the reason.
Only the configured next step is held, where HubCop is integrated; it does not block other systems.
What is at stake
- Fewer unsupported handoffs reaching downstream teams.
- Less manual verification of work already evidenced elsewhere.
- Confidence to let autonomous AI agents act at scale.
Potential benefits for a pilot to validate. Nothing has been measured yet.
Human or AI acts
Completion is a claim, not self-certification.
Other systems provide signals
Independent records of what happened.
HubCop Evidence Gate
Checks the evidence this milestone requires (its Evidence Recipe) against defined rules.
Checks origin · identity · context · timing
Qualifies evidence, then determines permission to progress.
- PASS → PROGRESS
- Permit the next step.
- HOLD → WAIT
- Required evidence is missing.
- ESCALATE → REVIEW
- Conflict or timeout needs judgment.
Proposed integration-mediated control: where integrated, HubCop would govern permission to progress and the connected system executes the action. It does not unconditionally block third-party systems.
The consequence, by design: if the required independent evidence does not qualify the milestone, the configured next step is held; conflicts or timeouts escalate to a person. No actor certifies its own work. This describes the proposed design, not deployed functionality.
Compare with your existing stackSupported by Two Published U.S. Patent Applications
Published June 25, 2026. Published applications, not granted patents; no exclusivity or claim scope is implied.
Register Your Interest
Gene Doubleday, Founder & CEO, HubCop, Inc.
Explore the HubCop Prototype