Gvner

Govern agent execution before it hits production.

Gvner is the execution-governance control plane for AI agents and automations. It sits between intent and execution, evaluates policy centrally, and returns explicit ALLOW or DENY with evidence.

Agents and runtimes can propose actions.

Gvner evaluates policy, approvals, and fail-closed execution boundaries.

Production side effects happen only after explicit approval.

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Enterprise Pilot Quickstart Integration Hub Top 20 Adapter Docs API Reference Pricing

Gvner Governed Agent Pilot

The fastest path to revenue and real proof is a narrow design-partner pilot for production agent execution.

What the pilot includes

1 tenant and 1 production-like environment

1-2 governed workflows

Up to 3 adapters

Approval path enabled

Evidence export enabled

What the buyer sees

One governed workflow running end-to-end

One denied action with reason and audit record

One approval-required action

One evidence export / release bundle

One architecture + control mapping handoff

Setup Docs Map

Use this sequence to implement and operate a full tenant rollout or a design-partner pilot.

1. Tenant Quickstart

Create baseline tenant setup and run first governed flow.

2. Choose Integration Path

Pick unified adapter (recommended) or compatibility adapters.

2b. Read Adapter Docs

Review per-adapter purpose, inputs, policy touchpoints, and console monitoring paths.

3. Wire Runtime Adapter

Implement /adapters/http/* register, intent, heartbeat, and runtime inventory.

4. Validate API Contract

Use current endpoint contracts and fail-closed behavior.

5. Configure Identity

Set up SSO, SCIM, roles, and session policy with the Identity guides.

6. Define Policy + Approvals

Configure policy rules and approval workflows before enforcement.

7. Enable Evidence + Exports

Generate immutable evidence and export packets/receipts.

8. Operate in Console

Run governance, security, integrations, and ops checks daily.

Unified Integrations

New and non-native runtimes use one canonical adapter contract. Existing OpenClaw and Temporal paths remain stable. For paid pilots, lead with GitHub, AWS/Kubernetes, and HTTP/OpenClaw workflows first.

Core Principle

No Gvner decision → no execution.

This boundary is enforced in code, visible in the console, and backed by immutable evidence.

There are no silent approvals.

There are no hidden execution paths.

There are no bypasses in normal operation.

What Gvner Does

External Execution Authority

Gvner sits between AI agent intent and production systems.

Intent enters a governed decision gate.

Policy, scope, and risk are evaluated deterministically.

No explicit approval means no execution.

Policy & Approval Governance

Execution is checked against policy, budget, and approval requirements.

Deterministic policy enforcement

Approval gates for sensitive actions

Diff, replay, and rollback visibility

Evidence & Audit Exports

Every decision creates audit-grade evidence and exportable artifacts.

Ledger and packet exports (PDF/MD/JSON)

Receipts, hashes, and signed records

Read‑only share links for auditors

Identity Governance

SSO, SCIM, sessions, and role mapping are governed and auditable.

Identity change queue + approvals

Session policy & revocation

Identity evidence packets

Agent Governance

Track agent behavior, baselines, anomalies, and enforcement.

Agent inventory + risk baselines

Anomaly detection + enforcement events

Regulator packets and attestations

Operational Integrity

Operate with live readiness, resilience checks, and SLA oversight.

SLO burn, observability, and performance targets

Failover rehearsal, restore drill, and isolation probes

Incident, SLA, and support/launch packs

Who Uses Gvner

Gvner is for teams running agents where mistakes have real business impact:

Run AI agents in production or pre-production

Operate under compliance, customer, or contractual obligations

Need explicit authority over what can execute

Typical users include:

Platform and engineering leaders shipping agent systems

Security and compliance teams governing AI operations

CTOs and VP Engineering teams buying controlled production rollout

Executives accountable for risk, auditability, and uptime

Each group sees the same source of truth: decisions, evidence, and operational state.

What Gvner Is Not

Gvner is not an agent framework.

Gvner is not a model provider.

Gvner is not a workflow engine.

Gvner is not a developer toolchain.

Gvner does not replace intelligence. Gvner governs execution. This boundary is intentional.

How Gvner Fits

An agent emits an intent

The runtime routes intent to Gvner adapter endpoints

Gvner evaluates policy, identity, budget, and risk

Gvner returns ALLOW or DENY with a recorded decision

Only ALLOW decisions can proceed to execution

Agents do not bypass this gate.

Gvner integrates through a unified adapter core plus stable compatibility surfaces for OpenClaw and Temporal.

Provable by Design

Every decision is packaged as verifiable evidence:

Decision outcome and policy basis

Immutable audit ID and hash chain

Export registry, receipts, and verification endpoints

Regulator-ready and auditor-ready packets

Auditors can validate outputs without internal system access.

Evidence generation is default behavior, not an optional add-on.

Built for Oversight

Read‑only auditor and regulator portals

Deterministic exports and evidence bundles

Identity, agent, and policy change ledgers

Operational checks for readiness, resilience, and rollout safety

Oversight is product behavior: visible, testable, and repeatable.

Getting Started

Adopt Gvner in a staged rollout:

Step 1: How It Works

Understand the decision boundary and execution flow.

Step 2: Setup Docs

Use Quickstart, Identity, and Policy guides.

Step 3: Integration Hub

Pick unified adapter (recommended) or OpenClaw/Temporal compatibility paths.

Step 4: Console Operations

Operate via console runbooks and monitor integration runtime status.

Start with a single agent

Begin in observe‑only mode

Turn on enforced execution gates when validated

Move from visibility to enforcement at your own pace.

Call to Action

Ship agent systems with explicit control, measurable reliability, and audit-ready evidence.

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