saascode
web3 & on-chain infrastructure·run 112 · May 2026

Veriagent

A know-your-agent evidence workspace for 10–50-person regulated firms that inventories agent identities, binds each task to an engagement and policy, captures signed action receipts, and exports a cited review packet without treating registration as legal compliance.

Genesis score7.05/10
Make Veriagent real.0/500
500 more votes and Veriagent is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
Aug 2, 2026Input's legal baseline
€15M / 3%Potential fine ceiling
17.6K+Observed registrations
The case

A boutique law, accounting, or audit firm may let an AI agent draft, retrieve, communicate, or execute client-facing work while its client file records only the human engagement. When a reviewer asks which agent acted, under whose authority, against which policy, and with what evidence, an on-chain address or tool log is not enough. Veriagent binds the matter, agent identity, task class, permission, reviewer, exact action receipt, correction, and outcome. Registration proves that a record exists; it does not prove the controller, agent behavior, professional authority, or EU AI Act classification.

Who pays — and why

The compliance, risk, technology, or engagement-quality leader at a 10–50-person law, accounting, or audit firm deploying agents into client-facing work and needing matter-level evidence without an enterprise governance program.

What it unlocks
An engagement-binding schema that connects matter, client authority, agent identity, task class, policy version, reviewer, receipt, correction, and outcome
A reusable conformance and evidence packet for small regulated firms that cannot operate an enterprise agent-governance program
A longitudinal record of which task classes, controls, and review states produce acceptable client work without turning signatures into quality verdicts
How Genesis scored it
7.05across seven criteria
tension 6temporal 8blindspot 5buyer 8leverage 8convergence 5why-not 8
8
Temporal window

The input's primary-source baseline placed high-risk obligations on August 2, 2026, though later provisional legislation could alter some timing and must be reverified.

8
Buyer persona

A 10–50-person regulated professional firm has identifiable quality and compliance owners and client-facing risk.

5
Convergence

Two cross-references, seven inbound connections, and three direct links form a strong local web without broader category proof.

Why it scored well

The small regulated-firm buyer is explicit, the input provides a primary-source legal baseline and a live agent registry with substantial usage, and no competitor combined agent identity, signed action logs, and engagement-level Annex III evidence. The binding schema can compound.

What's holding it back

No structural incumbent copying cost is evidenced, the regulatory timing may have changed after the input's May 2026 research, and on-chain registration can create false confidence. Generic AI compliance products already exist and professional-services obligations vary by task and jurisdiction.

Signals detected4 sources crossed
SignalEuropean Commission / EU AI Act Article 113 research

SignalDigital Omnibus provisional-agreement research

Signal8004scan and Base documentation research

SignalAIComply, EUCompliance, and ComplyActAI market scan

Direction briefveriagent.md
veriagent.md
Want this pointed at your vertical?Point Genesis at your own market and constraints — it invents adjacent, fork-ready ideas, private to you before they hit the public feed.

Discussion

?

No comments yet — be the first to weigh in.