Every AI your team loves. One hub your business controls.
Audition AI is an Enterprise MCP hub. Connect Claude Enterprise, ChatGPT Enterprise, or any MCP-capable harness to your enterprise data — with deterministic guardrails, observability, and traceability built in.
Deterministic control over your data — without ever leaving Claude
If you're using Claude and want fine-tuned, deterministic control over your data, plus enterprise-grade observability and traceability, you can now get it without changing a thing about how your team works. Audition AI brings the controls the business needs, with the workflow Claude users already love. And the same goes for ChatGPT Enterprise — or whatever harness comes next.
A single SharePoint folder
Give Claude access to exactly one folder — deal docs, policies, a data room — and nothing beyond it.
A specific set of CRM records
Expose only the accounts, contacts, or pipelines a team is meant to work with. The rest stays invisible.
Any approved data source
Databases, email, file shares, internal APIs — each one scoped, governed, and revocable at any moment.
The result: better access for users, tighter control for the business — all without ever leaving Claude.
One governed gateway between any AI and your data
Your AI harness speaks MCP. Audition AI — running in your cloud — answers, enforces your rules, and connects to the data you approve. Nothing more, nothing less.
Your AI Harness
- Claude Enterprise
- Claude Desktop & Code
- ChatGPT Enterprise
- Custom MCP agents
Audition AI MCP Hub
Running in your cloud
- Deterministic rule enforcement
- Identity-bound access
- Immutable audit trails
- Data loss prevention
Your Enterprise Data
- SharePoint & OneDrive
- CRM systems
- SQL & databases
- Email, Teams & files
Every flavor of MCP. Fully supported.
- Remote MCP servers with automatic configuration via OAuth 2.0 — paste a URL, authenticate, done
- Every MCP transport and capability: tools, resources, and prompts
- Works with Claude Enterprise, Claude Desktop, Claude Code, ChatGPT Enterprise, and any MCP-capable client
- Scoped credentials per user and per assistant — never shared service accounts
- Connections you can grant, narrow, or revoke in seconds
What Audition AI as your MCP hub actually means
A connector moves data. A hub governs it. Because every MCP call lands inside Audition AI, every capability of the platform works for every AI you connect.
Data Safeguards, Inherited
Every MCP connection flows through the safeguards already built into Audition AI — permission-aware access, data loss prevention, and sensitivity boundaries. Your AI harness gets the data, never the keys.
Instant Enterprise Data Access
Audition AI lives in your cloud, right next to your data. Connecting SharePoint, CRM, databases, email, and file shares is streamlined — no new pipelines, no data leaving your environment.
Deterministic Guardrails
Want to let Claude access enterprise data — but with rules that always apply? Audition AI's rule system enforces your policies end-to-end, deterministically. Not a suggestion in a system prompt. A gate.
Observability & Traceability
Every request, tool call, and document access is captured in immutable audit trails. Prove exactly who reached what data, when, and through which AI — down to the individual call.
Multi-Model Agent Orchestration
Use Audition AI agents to let Opus or Fable assign work to other models — and watch it all unfold on the Agent Task Board. Frontier reasoning delegates, economical models execute, you monitor progress.
Experts for Complex Configurations
The Audition AI support team includes hands-on assistance with complex MCP configurations. Direct access to the engineers who build the platform — no ticket queue between you and a working setup.
No vendor lock-in. AI sprawl in check.
Endless possibilities — starting with one premise: your enterprise controls and leverages AI exactly how you want. Because access, rules, and audit live in your hub, in your cloud, you can adopt any harness today and swap it tomorrow. New model launches? Connect it in hours. Team prefers a different tool? Same data, same guardrails, same audit trail.
One governance layer for every AI in the building. That's how sovereign AI puts sprawl in check — without slowing anyone down.
Enterprise MCP Hub FAQ
What is an Enterprise MCP hub?
MCP (Model Context Protocol) is the open standard that lets AI applications connect to external data and tools. An Enterprise MCP hub is a single governed gateway between any MCP-capable AI — Claude Enterprise, ChatGPT Enterprise, custom agents — and your enterprise data. Instead of wiring each AI tool to each data source, everything connects through one hub that enforces your rules, logs every access, and honors your existing permissions.
Which AI tools can connect to Audition AI?
Any MCP-capable client: Claude Enterprise, Claude Desktop, Claude Code, ChatGPT Enterprise, and custom agents built on any framework that speaks MCP. Audition AI fully supports every flavor of MCP, including the latest specification with automatic configuration via OAuth 2.0 — connecting a new harness typically takes minutes.
Does our data pass through Audition AI's servers?
No — because there are no Audition AI servers in the path. The platform runs in your own cloud tenant, next to your data. MCP requests from your AI harness terminate inside your environment, where rules are enforced and audit trails are written before any data moves.
Can we limit Claude to a single SharePoint folder or specific CRM records?
Yes — that's exactly the point. You define the scope: one folder, one document library, a filtered set of CRM records, a single database view. Audition AI enforces that boundary deterministically on every request, so the AI never sees more than you intended, no matter how it's prompted.
How is this different from connecting Claude directly to our systems?
A direct connection gives the AI whatever access the integration has — and leaves you with scattered credentials, inconsistent scopes, and no unified audit trail. Through Audition AI, every AI reaches data via one hub with deterministic rule enforcement, identity-bound access, immutable audit trails, and enterprise-grade observability. Better access for users, tighter control for the business.
What does 'sovereign AI' mean in practice?
Your enterprise controls and leverages AI exactly how you want. Because access, rules, and audit live in your hub — in your cloud — you can adopt any AI harness or model without vendor lock-in, and swap them as the landscape evolves. One governance layer keeps AI sprawl in check while your teams use the tools they love.
Interested? We'd love to show you what we can do.
Bring your harness — Claude, ChatGPT, or anything that speaks MCP. We'll connect it to real enterprise data with your rules enforced, live, in 30 minutes.