The audit and control layer for enterprise AI agents

Connect once via A2A, govern every agent action from one dashboard: no agent rewrites, no new employee UI. Built on MCP and A2A, so it is procurement-friendly and vendor-neutral. Your employees never see Orgopolis; your auditors do.

Governance
Layer
Access Rings
Identity
Audit Trail
ChatGPT
Claude
LangGraph
MCP tools
Built for enterprise teams running production AI agents across regulated workflowsFor organizations that need unified visibility, governance, and audit across every agent in use.
FinTechHealthTechSaaSLegalTechInsurTech
Zero-migration A2A connect

Connect existing LangGraph, Agentforce, ServiceNow, and cloud agents through A2A: canonical identity and policy, no agent rewrites.

One-dashboard visibility

See every agent, its owner, its cost, and its actions in one place. The dashboard CISOs and platform leads already wish they had.

Immutable audit trail

Every agent action is recorded, export-only, and tamper-evident. Audit history becomes the compliance artifact: a one-way ratchet.

Standards-backed, no lock-in

Built on MCP (Anthropic) and A2A (Google). Procurement-friendly, vendor-neutral, and aligned with where every enterprise client is standardizing.

Deploy once, govern everywhere. When you push an agent to Orgopolis, it is instantly governed and available across the organization: one audit trail, one policy, every interface.

Agent pushed to Orgopolis
Access Policies
Shared Memory
Budget Sandbox

Govern every agent action from one layer

Orgopolis is the governance layer that receives intent from any frontend, resolves identity, pages the right memory, enforces cost and privilege limits, records an immutable audit trail, then routes work to existing or native agents: no rewrites.

Controlled access rings

Orgopolis maps each agentic workflow to an access ring before execution. Low-risk reads can proceed, sensitive data needs scoped grants, write actions require approval, and high-impact operations stay blocked unless an owner explicitly elevates them.

Ring 3ObserveRead public or approved context.
Ring 2Scoped dataUse team memory, SaaS records, or customer context.
Ring 1Write actionsCreate tickets, update CRM, send messages, or change workflow state.
Ring 0Critical opsPayments, production changes, privileged access, or regulated decisions.
Orgopolis access decision
IdentityWho is acting?
ScopeWhat can it touch?
ApprovalWho must sign?
EvidenceWhat was recorded?
Elevate only with approvalThe agent can request a higher ring, but Orgopolis keeps the workflow paused until the mapped owner approves it.

Orgopolis MCP gateway

Expose one governed MCP endpoint for ChatGPT, Claude, and internal assistants. Orgopolis resolves the user, filters each assistant's tool menu, and routes approved calls to enterprise agents.

AI assistants
ChatGPT & Codex
Claude Cowork & Claude Code
Microsoft Copilot
Orgo MCPOne governed endpoint
mcp.orgopolis.com
IdentitySSO user + AgentID
Tool menuOnly approved capabilities
PolicyBudget, memory, access rings
Enterprise agents
Salesforce Agentforce

CRM, renewals, quotes

ServiceNow agents

ITSM, HR, risk workflows

Native OrgoAgents

Finance and internal SDK agents

Auditor agents

Legal, security, evidence review

AI assistants see a personalized MCP tool menu.Orgopolis dispatches approved work to the right enterprise agent with trace and policy attached.

A2A bridge, no rewrite

Bridge existing enterprise agent fleets through A2A endpoints, or build natively with the open-source SDK when teams want kernel primitives by default. No agent rewrites, no framework lock-in.

BridgeExisting fleets

LangGraph, Agentforce, ServiceNow, cloud-managed agents, and internal stacks stay where they run.

A2A endpointMCP toolsNo rewrite
FactoryNative builds

Teams build net-new agents with @orgo/sdk or orgo-sdk and inherit controls at creation time.

SDKSecurity hooksMemory bank
Admit into OrgopolisIngestion kernel
AgentIDOwner, scopes, acting user
Capability cardTasks, tools, risk level
Policy envelopeBudgets, rings, approvals
Registry + runtimeObservable production loop
The shadow-AI problem

Your AI agents are running ungoverned

Teams adopted ChatGPT, Claude, and internal copilots faster than anyone could govern them. Five compounding risks now sit on every CISO and Head of Platform's desk, and your next SOC 2 or ISO audit is already asking about them.

Agents from different vendors have no canonical identity. The same human request can trigger five agents with five different trust levels and zero shared accountability. Orgopolis binds every action to a cryptographic AgentID, the acting user, the owning team, and the policy version.

Works across every agent source

Connect consumption frontends, suite-native agents, cloud-managed agents, internal frameworks, native SDK agents, and private-cloud deployments into one governed model: no agent rewrites, no framework lock-in.

Consumption interfaces

Employees keep the assistants they already use.

Orgopolis is headless by design. ChatGPT, Claude, internal copilots, IDE agents, and CLI tools call the same governed gateway instead of forcing every employee into a new application.

ChatGPT / Codex

Daily business interface

Expose a personalized menu of approved enterprise agents and tools through the Orgopolis Gateway.

HTTP-SSEMCPSSO

Claude Cowork / Code

Research and engineering work

Let power users run enterprise tasks from Claude while the kernel enforces memory, tool, and cost boundaries.

MCPToolsAudit

Internal copilots

Department portals

Give existing internal assistants a controlled way to discover and invoke approved company agents.

IdentityPolicyTrace

IDE and CLI agents

Developer workstations

Connect terminal and coding agents without letting local credentials become the trust boundary.

CLIReposScopes

Workflow portals

Existing enterprise UI

Embed Orgopolis calls behind service catalogs, intake forms, and business-process screens.

RESTWebhookSSE

Govern every agent action from one dashboard: no rewrites, no new employee UI.

Orgopolis turns agent sprawl into governed infrastructure: identity first, cost bounded, context scoped, actions ringed, every step recorded on an immutable audit trail. Employees keep the assistants they already use; your auditors get the evidence.