Compliant SOC 2 Type IICompliant ISO 27001 ISO 27017 ISO 27018 ISO 27701 ISO 22301
Not only agents — humans, AI, and any application

Every action by a human, AI, or both — proven, signed, independently verifiable.

ParviGov is the governance layer for any application, not only AI agents. One API call produces a cryptographic fingerprint of what was done, by whom (human, AI, or both), and when — plus an independent witness receipt and optional commercial settlement proof. EU AI Act, SOC 2, ISO ready. One integration. Full accountability.

1
API Call
3+1
Proof + memory
5
ISO Standards
SOC 2
Type II
01 — Three layers + memory

Three layers of governance. Plus one of memory, heuristics & learning.

LAG, AWP and PayBotFin prove what happened — chain, witness, receipt. ParviALMA adds the fourth layer: memory, heuristics and learning, so each new decision is informed by what already happened.

LAG
Chain
WHO / WHAT / ORDER
+
AWP
Witness
RESULT / INDEPENDENT
+
PayBotFin
Receipt
PAID / DELIVERED
+
ParviALMA
Memory
HEURISTICS / LEARNING
LAG

Cryptographic Action Chain

Living Architecture Graph. Every action — human, AI, or mixed — is appended to a tamper-evident ledger. Detects both modification (signature mismatch) and deletion (chain break). The answer to: who did what, in what order.

AWP

Agent Witness Protocol

Open sourcegithub.com/RBKunnela/awp. Offline-verifiable receipts via canonical Merkle chain. Anyone can run npx awp verify — PASS or FAIL. Flip one byte → FAIL.

PAYBOTFIN

Commercial + Authorization Receipt

PayBotFin issues portable commercial receipts: paid, delivered, authorized, approved, settled, verified. A 5-gate authorization check. Makes economic and operational actions independently checkable.

PARVIALMA

Memory, heuristics & learning

ParviALMA is the fourth layer: not only proof of what happened, but memory and heuristics so the system learns from each act and informs the next decision under the same governance stack.

ParviALMA — Memory & Learning

What ParviALMA brings to governance

Proof is not enough. ParviGov already records, witnesses, and receipts every act. ParviALMA makes the system learn from each act — so the next decision is informed by memory of what already happened.

LAG

Accountability

Records everything — who, what, order. Tamper-evident chain of every governed action.

AWP

Witness

Cryptographic proof of the result. Independently verifiable — offline, by anyone with the receipt.

PayBotFin

Payment & authorization

Financial governance — paid, delivered, authorized, settled. The economic trail beside the chain.

ParviALMA

Memory & learning

ParviGov now learns from every act. Patterns, heuristics, and prior outcomes inform the next decision — still under the same governance stack.

Before

ParviGov knew what happened — but it did not learn. Every act was proven; none made the next one smarter.

Now

Each decision is informed by memory of what already happened. Governance that records and remembers.

02 — The Combo Is the Moat

Chain + Witness + Receipt = The Moat

Each pillar solves part of the governance problem. Only the combination solves all of it. Remove any one layer and the proof collapses. This three-way combo is the competitive moat — not a feature, an architecture.

Why the combo is uncopyable

A chain alone proves ordering but not result correctness. A witness alone proves a result but not sequence. A receipt alone proves payment but not authorization. All three together prove the complete governance story.

LAG (private) + AWP (open MIT/Apache) + PayBotFin (private) = ParviGov
CHAIN ALONE

Ordering Without Truth

A cryptographic chain proves when actions happened and in what sequence. But it cannot prove the result of an action was correct or independently observed.

WITNESS ALONE

Truth Without Sequence

An independent witness proves a specific result occurred. But without a chain, you cannot reconstruct the full timeline or detect gaps in the action history.

RECEIPT ALONE

Payment Without Proof

A commercial receipt proves a transaction settled. But without chain and witness, you cannot prove the authorization path or that the right agent took the right action first.

03 — How It Works

One API Call. Full Governance.

Send a single POST request. ParviGov appends the action to the LAG chain, requests an independent AWP witness receipt, and optionally issues a PayBotFin commercial receipt. You get back a complete governance bundle.

# One call — the full governance combo # LAG append → AWP witness → optional PayBotFin receipt curl -X POST https://your-parvigov-host/api/v1/gov/govern-action \ -H 'Content-Type: application/json' \ -d '{ "agent_id": "agent:demo:parvigov-test", "action": "browser.click", "result": "success", "engagement_id": "engagement:parvigov:demo-1", "actor": { "actor_type": "agent", "delegated_by": "human:local" } }' # → Returns: governance bundle # LAG entry (AWP-signed) + AWP canonical receipt + PayBotFin decision # → RESULT: PASS
WHAT YOU SEND

Human, AI, or Application Action

    WHAT YOU GET BACK

    Governance Bundle

      04 — Cryptographic Fingerprint

      What. Who. When. Cryptographically sealed.

      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.

      WHAT

      What was done

      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.

      WHO

      By whom

      Human operator, AI agent, automation, or a delegation chain (human authorized → AI executed). Actor types are first-class: you always know who is accountable.

      WHEN

      When it happened

      Ordered on a cryptographic ledger. Sequence is provable. Deletion breaks the chain. Modification fails the signature. Auditors reconstruct the full timeline.

      Any application. CRM, ERP, legal practice software, accounting suite, browser agent, CI pipeline, chatbot, custom internal tool — if it can call HTTP or MCP, ParviGov can govern it. Not a product that only watches agents: a governance layer for the whole organization.
      05 — Use Cases

      Where governance is essential

      From professional services to AI-native products — prove every critical action while work continues at full speed.

      Law firm

      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.

      Fingerprint: draft → review → approval → filing · who · when

      Accounting firm

      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.

      Fingerprint: import → classify → approve → submit · who · when

      Finance & compliance

      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.

      Fingerprint: policy check → action → receipt · who · when

      Any business application

      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.

      Fingerprint: app event → actor (human|AI|both) · timestamp · chain
      06 — EU AI Act

      Why Governance Matters Now

      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.

      EU AI ACT — REGULATION (EU) 2024/1689

      Audit trails are not optional anymore

      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 2026
      ARTICLE 12

      Automatic Logging

      LAG chain produces tamper-evident event logs. Every agent action is recorded with cryptographic signature — meeting the automatic logging requirement.

      ARTICLE 14

      Human Oversight

      The actor field records delegation chains — who authorized what agent. Regulators can trace every decision back to the human who enabled it.

      ARTICLE 15

      Accuracy & Robustness

      AWP independent receipts prove what the system actually did, not just what it was told to do. Offline-verifiable evidence of execution accuracy.

      07 — For Who

      Built for professionals, builders & auditors

      Whether you run a firm with humans and AI, ship software, or audit systems — ParviGov is the governance layer for every critical action.

      Enterprise

      Deploy governed AI agents with proof you can show regulators and auditors.

      Partners

      Offer a turnkey governance stack to your clients without building it yourself.

      Startups

      Ship compliant AI from day one. One integration, enterprise-grade governance.

      Audit Firms

      Verify AI compliance with offline-verifiable receipts. Audits in minutes, not weeks.

      08 — The Parvi Family

      ParviGov Governs the Full Stack

      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.

      ParviGov

      Governance layer — you are here

      ParviSight

      Agentic browser with 26 MCP tools

      ParviClaw-core

      Multi-terminal, multi-LLM execution engine

      ParviALMA

      Agent memory and learning, governed

      Renata Baldissara-Kunnela, Founder of FriendlyAI and ParviGov
      Founder

      Renata Baldissara-Kunnela

      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.

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