01
Purpose
Define what legitimate completion means.
CONSEQUENCE GOVERNANCE
Intelligence can act. Authority still decides.
Before an AI, person or workflow creates a real-world effect, VALO checks whether that exact action is authorized now — against current mandate, evidence and constraints.
REHT makes that boundary executable. The result is deterministic: ALLOW, DENY or ESCALATE — with evidence of why.
01Request
02Verify authority
03Authorize
04Execute
05Preserve evidence
The governing object is the proposed consequence and the authoritative state that exists when it is about to happen. This is what separates Consequence Governance from agent governance, access control and ordinary workflow governance.
02
Evidence
Resolve what is known, missing and admissible.
03
Authority
Check the exact right to act now.
04
Effect
Release only through the governed path.
05
Receipt
Preserve what happened or was refused.
BUILT · TESTABLE · INSPECTABLE
Not a governance concept deck.
VALO has implemented the consequence boundary as executable infrastructure. Public demos and specifications expose the control semantics directly rather than asking you to accept the category claim.
Executable boundary
REHT evaluates the exact proposed consequence against fresh authority and returns ALLOW, DENY or ESCALATE before effect.
Governed effect path
The authorization decision is not advisory. Consequential effects are released only through the governed path; direct effect paths are excluded by design.
Replayable evidence
The governed record binds what was evaluated, authorized, executed or refused so decisions can be reconstructed and independently inspected.
Model-agnostic contract
The same authorization boundary applies when the proposer is an AI agent, person, workflow, API or machine — and remains when models or runtimes change.
Security assumption: VALO does not require the agent to remain trustworthy. A capable, changed or compromised worker may still propose actions. The final control is whether the proposed consequence has fresh authority and can pass the governed effect boundary now.
PRODUCT SYSTEM
Continuity. Capacity. Outcome.
VALO products sit above the same Consequence Governance architecture. They solve different parts of the work system without making the worker itself authoritative.
relAIon
Personal continuity across replaceable models and providers.
EmplAI
Verified SI capability identity, taxonomy and matching for deployment candidates.
TraXin
Outcome brokerage from defined need to verified completion.
ORGANIZED INTELLIGENCE
Beyond the individual model.
VALO Research studies how capability, memory, identity and continuity can emerge from organized relations, causal history and maintained structure rather than from one model alone.
Claims are earned through bounded experiments, ablation, replay and explicit negative results. A branch remains a branch until evidence promotes it.
Closed environments
Causal interventions
Split · merge · dormancy
PUBLIC WORK
Open where inspection and interoperability matter.
Consequence Governance ↗
Canonical definition, architecture and vocabulary for the category.
Open source index ↗
Protocols, reference implementations and public forks.
PEACE Protocol ↗
Authority and authoritative state remain inside the governed domain.
REHT Standard ↗
Model-agnostic consequence-time authorization contract.