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Every important decision should leave a receipt.

Provable decision infrastructure for human, automated, and AI-assisted operations.

View a ReceiptExplore operational examples

Modern operational systems are becoming increasingly automated, interconnected, and AI-assisted. The accountability burden does not disappear when the systems change.

Most institutions still reconstruct consequential decisions retrospectively from fragmented operational evidence. MeshQu preserves independently verifiable accountability records at the moment decisions occur.

Audit becomes retrieval, not reconstruction.

Today, decisions are defended from fragments.

Most institutions defend challenged decisions by reconstructing fragmented evidence across systems, logs, tickets, approvals, and institutional memory. Reconstruction takes weeks and produces stories, not evidence. Decision Receipts preserve a verifiable accountability record at the moment the decision occurs.
T+0 · Decision

A workflow approves a $42,140 transfer.

Tuesday, 14:22 UTC. A fraud rule fires, an override is set, the transfer goes through. The system moves on.

+45 days · Challenge

Compliance asks for the override reason.

“Why did this decision pass? What did the system actually see at the time?”

The hunt · 5 days

The team reconstructs from whatever they can find.

None of these were created as proof. All of them depend on memory, access, and time.

  • Logs
  • Emails
  • Slack threads
  • Tickets
  • Screenshots
  • Dashboards
  • CSV exports
  • Wiki pages
The verdict

A story is told, not a record retrieved.

Best reconstruction. Plausible narrative. Not authoritative, not verifiable, not portable. The decision is defended, but never proven.

Execution time · Decision Receipt

The same decision, preserved as a signed receipt at execution time.

One signed object, issued in ~50 ms, replayable years later — independent of the systems that produced it.

Decision Receiptdr_01HZX7K9R8F6Y3TQX4V9B2J1M5
Decision
APPROVED · $42,140
Actor
Fraud Workflow Engine
Verification
Ed25519 signature valid · created at decision time
ReplayablePortableIndependently verifiable

What MeshQu is, in plain terms.

MeshQu is the layer that turns a consequential decision into something the institution can stand behind. The rules that should have applied. The decision as it was made. The record that proves both.
Rules

The rules that applied.

We hold the institution's policies — the thresholds, the authority levels, the conditions, the exceptions — in a form that doesn't drift. When a decision is made, we know exactly which version of the rules was in force at that moment.

Decision

The decision that was made.

We run the decision against those rules at the moment it happens. Who made it, what they saw, what the rules said, what the outcome was — all of it captured in one place, in one shape, whether the decision was made by a person, a workflow, or an AI.

Record

The record that proves it.

We emit a signed receipt — a portable, replayable record that holds the decision in the form it was made. Years later, when someone asks how it happened, the answer is retrieved, not reassembled. The proof outlives the systems that produced it.

Three things, one shape — every consequential decision the institution makes.

The Decision Receipt.

A signed operational record created at the moment a consequential decision occurs. The same shape regardless of which actor produced it — human approval, automated workflow, AI agent, or autonomous orchestrator.
The accountability artifact

A Decision Receipt preserves the record of the decision itself.

  • What happened
  • Why it happened
  • Who or what made it
  • The evidence available

The systems can change. The proof remains.

Inside a Decision Receipt
Decision Receiptdr_01HZX7K9R8F6Y3TQX4V9B2J1M5
v0.1
Decision
APPROVED
Actor
Fraud Workflow Engine
Policy snapshot
pol_2026_04_uk_retail_v3
Issued
2026-05-06T14:22:11Z
Verified
Signature valid
Anchored
0x9f2a4e0c8b1d2f3e4a5b6c7d8e9f
ReplayablePortableIndependently verifiable

The same primitive, across regulated operations.

The receipt becomes real through operational context. The same envelope adapts to anti-money laundering escalation, AI-assisted review, and procurement workflows. One contract, every operational shape.
AML

Sanctions escalation

A velocity-anomaly alert escalates from screening to human review to override. Each step seals into a replayable accountability chain.

Defensible escalation trail
AI · Agentic

AI-assisted review

A model recommendation is bound to the policy snapshot it was evaluated against. The human reviewer who ratified it is named in the record.

Independently demonstrable
Procurement

Vendor approval

A procurement workflow moves from spec to quote to review to approval, then closes with a chain seal — the sequence is verifiable end-to-end.

Sealed workflow
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