AI · AUTHORITY · CONSEQUENCE
Your AI can enter the system. That does not mean it should be allowed to do everything inside.
Think of access like a building badge: it may open the door, but it does not authorize every decision inside. AI access works the same way. Higher Human Trust evaluates the exact action, available evidence and current authority before a consequence.
FUNCTIONAL PRE-PILOT · DESIGN PARTNERS OPEN
Proposed action
Approve supplier payment · $7,500
Required evidence
Present
Delegated authority
ESCALATE
HUMAN APPROVAL REQUIRED
The evidence is present, but this action exceeds the authority delegated to the AI.
Capability ≠ authority
WHAT THE DECISION MEANS
Capability ≠ authority.
ALLOW, ESCALATE and STOP do not rate the AI in general. They describe whether one exact action may proceed now under the evidence and authority that exist.
Technical capability does not imply authority. Approval is not execution. Execution does not prove the observed consequence.
BOUNDED TECHNICAL PROOF
The pattern was forged under real consequences.
Before becoming a product, HHT primitives governed machine-commerce experiments. In ACO-EXP-002 Phase 3, HHT evaluated authority before a 0.005 USDC machine-to-machine microtransaction on Base mainnet and kept authorization, execution, settlement, delivery and acknowledgement separate.
This demonstrates the technical pattern under a real economic consequence. It does not demonstrate certification, validated enterprise deployment or product-market fit.
Read the A2A proof story0.005 USDC
real economic effect
Base mainnet
execution environment
A2A
machine-to-machine action
DESIGN-PARTNER VALIDATION
Bring one action where AI capability, evidence and authority are not the same thing.
We do not need to begin with the whole organization. We choose one consequential workflow, define the exact action and test what must be true to allow, escalate or stop it.
If the problem is still understanding what evidence exists and what is missing, start with Evidence Readiness.