Signed workflow

Description

Volt4AI can drive a controlled workflow — a multi-step process whose steps, transitions and approvals are digitally signed and governed by policy, rather than run by trusted central middleware. Each step is an action evaluated by Volt’s policy engine (XACML attribute-based: subject, resource, action, environment), and every policy rule, edit and piece of presented evidence is itself digitally signed, so the progression of the workflow is logically verifiable end to end (, Volt: Policy).

Because it is built on Volt’s distributed primitives, the workflow runs in a fully distributed manner with no central orchestrator: state advances as signed events on the Synapse fabric, so participants across organisations and edge sites share one verifiable view of where the process has got to, even when intermittently connected (Synapse, Synchronized).

A step can be advanced interchangeably by a human or an AI agent. A human progresses it through Volt’s approve/authenticate flow (Volt: Approve authenticate request); a Cortex AI agent progresses it autonomously (AI native) — in both cases the actor is a strong identity whose action is signed and policy-checked, so the audit trail and the control surface are identical regardless of who (or what) took the step (H2M).

Importance

Real processes mix automated and human steps and span organisational boundaries; making each step a signed, policy-evaluated action — advanceable by a person or an agent — gives one controlled, auditable workflow without a trusted central engine that becomes a bottleneck and a single point of compromise.

Benefit

• Each workflow step is digitally signed and policy-gated, so progression is verifiable and tamper-evident.
• No central orchestrator — state advances as signed events across distributed/edge participants.
• Humans and AI agents advance steps through the same identity, signing and policy surface.
• Approvals are required, recorded and attributable; the audit trail is complete by construction.

Defence Relevance

The DTW targeting mission thread — sense → understand → decide → effect → assess — is exactly such a controlled workflow, where some steps are AI-accelerated and others (notably the decide/effect steps over lethal action) demand human authority and accountability. A signed, distributed workflow lets that thread run across dispersed sense/decide/effect nodes while keeping every transition attributable and human-gated where required — supporting Challenge 3 (decide faster, responsibly) and the Exploitable-by-Design governance principle (60), with H2M oversight as the enforcement point.

Civilian & Enterprise Relevance

Regulated, cross-organisation processes — clinical pathways, KYC/AML onboarding, supply-chain release gates, automated trading or claims approvals — increasingly mix AI automation with mandated human sign-off. A signed, policy-governed workflow gives a defensible audit trail and supports human-oversight obligations (e.g. EU AI Act) without locking the process into one vendor’s orchestration server.

Related

• Dynamic — the signed, runtime-configurable policy that controls each step
• Signed — data-centric signing the steps and evidence rely on
• Distributed — why it runs with no central orchestrator
• H2M — human approval / oversight of steps
• AI native — agent-driven advancement of steps
• Synchronized — resilient distributed state
• Volt4AI

Sources

• Volt: Policy (XACML, signed JSON policy)
• Volt: Approve authenticate request
• NQM DTW Response §Technical detail
• DTW Cycle 0 Challenge §Cycle 0 use case