When someone in your company does something that matters — a person, an AI, or both — you can prove what happened, who did it, and when. Your auditor checks it without trusting a screenshot. You install it in your environment. The point is not our stack. The point is the problem we close.
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Agents send invoices, change customer records and draft documents, often in the same workflow as your people. When one action goes wrong, the same four questions come back. Most companies answer them with logs anyone could have edited.
Under the EU AI Act, high-risk systems need automatic event logs (Article 12) and human oversight (Article 14). ParviGov produces that evidence as the work happens, not as a reconstruction project later.
Try it yourself in 60 secondsYou do not rebuild your CRM, ERP, or case system. This sits beside what you already run. Your people work as usual. When someone asks “who did this?”, you open a view they can check themselves.
Hosted by us, or on your side. Your data stays where it already lives. We do not become your operational database.
Critical actions are recorded as they happen. Your team does not fill extra forms to make this work.
A third party can verify the record without taking our word — or yours. That is the product.
ParviGov is not only for AI agents. It follows any action performed by a human, an AI, or both together — and by any application that can call an API. Each action becomes a cryptographic fingerprint: immutable, ordered, and independently verifiable.
The action itself — filed a petition, approved a tax filing, opened a bank page, ran a model, signed a document. Recorded as a structured event on a tamper-evident chain.
Human operator, AI agent, automation, or a delegation chain (human authorized → AI executed). Actor types are first-class: you always know who is accountable.
Ordered on a cryptographic ledger. Sequence is provable. Deletion breaks the chain. Modification fails the signature. Auditors reconstruct the full timeline.
Logs are not enough. ParviGov’s evidence plane uses MIU (Minimal Interpretable Unit): the smallest source-anchored claim a reviewer can challenge. Invalidate the sentence — scores, tasks, and receipts that cited it must go stale.
If you claim verified-against language, you must cite real miu_ids. Opaque evidence arrays no longer grant a free pass.
Extractor-added labels like “high conscientiousness” in grounding text are hard-rejected. Traits belong in separate inference — never in the evidence body.
A caller score of 10 with empty grounding is capped and vetoed. Governance cannot be gamed with self-assigned numbers.
Grammar and reference runtime live in ParviCognitive (MIU). ParviGov enforces the gate — it does not swallow the research pack.
Sensitive routes require auth. Rate limits, body size caps, and CORS controls apply. Lab keys are labeled lab; customer mode refuses DEV seed keys. Denied acts are policy outcomes — not silent drops.
From professional services to AI-native products — prove every critical action while work continues at full speed.
Associate reviews a case file; AI drafts a petition; partner approves filing. ParviGov records the full path: who opened which document, who generated the draft, who authorized send — human and AI linked. Client disputes and bar audits get a cryptographic trail, not email archaeology.
Bookkeeper imports bank CSV; AI categorizes transactions; senior signs the tax package. Every step is sealed: what numbers changed, who approved the close, when the declaration was submitted. Regulators and clients see proof — not screenshots of Excel.
Trading bots, KYC workflows, payment authorizations. Prove the policy path: human override, AI recommendation, final settlement receipt — one governed timeline for SOC 2 and internal audit.
Your ERP, CRM, helpdesk, or custom portal. Not only agents: any software that performs critical actions calls ParviGov. Human clicks, AI suggestions, automated jobs — same cryptographic fingerprint model.
The EU AI Act is law. High-risk AI systems must demonstrate accountability, traceability, and auditability. Non-compliance carries fines up to 35 million EUR or 7% of global turnover. ParviGov produces the evidence regulators will demand.
Article 12 requires automatic logging of events for high-risk AI systems. Article 14 requires human oversight capability. Article 15 requires accuracy and robustness documentation. ParviGov produces all of this automatically — every action is logged, signed, and independently witnessed as it happens.
Full enforcement for high-risk systems: August 2026What happened is recorded automatically — ready when oversight asks.
The actor field records delegation chains — who authorized what agent. Regulators can trace every decision back to the human who enabled it.
A third party can check that what you show is what actually happened.
Whether you run a firm with humans and AI, ship software, or audit systems — ParviGov is the governance layer for every critical action.
Deploy governed AI agents with proof you can show regulators and auditors.
Offer a turnkey governance stack to your clients without building it yourself.
Ship compliant AI from day one. One integration, enterprise-grade governance.
Verify AI compliance with offline-verifiable receipts. Audits in minutes, not weeks.
ParviGov is the governance layer across the entire Parvi product family. Parvi means "flock" in Finnish — swarm intelligence, every action governed. Built by FriendlyAI, a Finnish high-tech company.
Governance layer — you are here
Agentic browser · Win/macOS/Linux · license enforced
Rust multi-session control plane · licensed · cross-OS
Memory & learning under governance (MIU cites)
ParviGov is built by FriendlyAI, a Finnish high-tech company founded by Renata Baldissara-Kunnela — a senior software testing expert with over 15 years of experience in QA and security testing, now building AI agent governance systems. The company combines deep quality assurance expertise with cutting-edge agentic AI technology.
Request a ParviGov demo, an API walkthrough, or a compliance deep-dive. We respond within 48 hours.
Prefer email? dev@friendlyai.fi