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Independent enforcement for human + AI execution

Verify the Evidence. Control What Happens Next.

An independent evidence-gated layer designed to govern critical progression across people, AI agents, and enterprise systems.

Pre-product, in development; enforcement would act only through authorized integrations. Supported by two published U.S. patent applications, not issued patents.

How one milestone could be governed
Conceptual · example records

AI agent: Onboarding agent reports · milestone: Issue first purchase order

“Supplier onboarding complete”

  • Contract system

    Signed agreement

    Current

  • Bank verification

    Checked 2 days ago

    Current

  • Delegation policy

    Agent may request PO

    Authority

One conditional path · set by configured policy unless tagged

  1. VERIFYAt the defined milestone: Records are independent, current and within the agent's authority.
  2. ADVANCEIf all required evidence qualifies: The configured next step is permitted through the connected system.

Consequence: Purchase order request proceeds without manual review.

How it works

From claimed work to verified progress.

One continuous journey for every milestone you choose to govern. Most work flows straight through. Only the exceptions slow down.

  1. 01

    Work happens

    People and AI agents act across your systems.

  2. 02

    Evidence is captured

    Records arrive from systems other than the actor.

  3. 03

    Independently qualified

    The milestone policy decides what qualifies. No actor certifies itself.

  4. 04

    Progress or intervene

    Qualified steps advance. Gaps trigger the configured consequence: hold, remediation, reassignment or escalation.

  5. 05

    Scale with trust

    Volume can grow without growing manual oversight.

Under the hood: what the proposed design adds
  • Configurable milestones. You choose which business steps require evidence.
  • Continuous scoring. Evidence would be rescored as records change or expire.
  • Monitoring and rerouting. Stalled or conflicting items would route to the right person.
  • Cross-system handoffs. Work would pass between people and AI agents with the record in place.

Proposed architecture

Enforcement needs three things. Nothing less qualifies.

  1. 1

    Independent evidence

    Authorized access to records from sources other than the performing actor.

  2. 2

    Milestone policy

    Explicit rules for what qualifies, and when to wait or reassess.

  3. 3

    Enforceable control point

    A real step in the connected workflow that can act on the decision.

HubCop evidence qualification

Checks origin, identity, context and timing of each record, then applies the configured consequence. These are possible branches, not a fixed sequence. If the business changes strategy, HubCop governs the new path; it does not choose it.

  • ADVANCEEvidence qualifiesThe configured next step is permitted.
  • HOLD + REVERIFYMissing or staleOnly this step waits; it is rechecked when new records arrive.
  • REASSIGNOwner stalls or authority lapsesWork moves to an eligible owner; delegated authority can expire where supported.
  • ESCALATEOptional, on conflictA named person decides, with the conflict shown.

Where integrated, HubCop would govern permission to progress and the connected system executes the action. It does not unconditionally block third-party systems.

Same workflow, two ways to progress

“Completed” is a claim. Progress should need proof.

Today

  1. An AI agent reports “Completed”.
  2. The workflow advances on that self-report.
  3. People re-check the work later, after it has moved on.

With HubCop, as designed

  1. The same report is recorded as a claim.
  2. Independent records are checked against the milestone.
  3. Qualified work advances; gaps get only the consequence configured for them, such as hold and reverify or reassignment.

Free interactive enterprise assessment tool

Business Impact Explorer

See Immediate Results. Get a Customized Executive Report.

Choose your industry, business function and AI provider. Adjust transparent assumptions, test an evidence decision and download the four-page report. No email required.

Launch the Free Interactive Tool
Actual first page of a generated Business Impact Explorer report with scenario chart and illustrative calculations
Actual sample PDF page

Supported by Two Published U.S. Patent Applications

US20260179008A1US20260179101A1

Published June 25, 2026. Published applications, not granted patents; no exclusivity or claim scope is implied.

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Gene Doubleday, Founder & CEO, HubCop, Inc.

Explore the HubCop Prototype