Connect Claude, ChatGPT, Gemini or Copilot to live control-testing data. Upload the evidence, start tests, generate working papers, or get answers about it, all inside your enterprise AI tool.
Attach files in the chat and they land on the right control test, checked on arrival like any other upload.
Start tests
Start a test against your existing plan. Agents run it over the full population and report back when it is done.
Generate working papers
Ask for the working paper and get it in your own template, with linked evidence and exception narratives.
Check status
Which controls are untested, which are with a reviewer and which have exceptions, as of the moment you ask.
Explain a conclusion
Read the decision log behind any result: the sample, the evidence and the judgment at each step.
Compare periods
Put quarters side by side to see which exceptions recur and where coverage has drifted.
See it in action
"Which key controls are still untested for Q3, and who owns them?"
"List every exception raised this quarter."
"Which UAR exceptions have recurred over the last three quarters?"
Security and permissions
Your permissions, unchanged
MCP follows the roles and permissions set in Bead.
Approved per person, per assistant
Connections are explicitly approved. An administrator can revoke connections.
Every action under your name
Uploads, test starts and working papers are recorded as your actions with a detailed audit trail.
Zero-retention inference
Inference runs on Amazon Bedrock and Google Vertex AI inside Bead's own accounts under zero-retention terms.
SOC 2 Type II
The same certified controls cover the MCP server as the rest of the platform. Penetration testing results are available under NDA.
Runs where your data lives
Available in every deployment model: managed cloud, a private cloud in your own AWS region, or on-premises.
What MCP is
MCP, the Model Context Protocol, is an open standard for connecting an AI assistant to a product. A product supports it once, and any assistant with MCP support can read from it and act in it, under the permissions of the person who connected them. No vendor owns the standard, so if your organisation moves from one model to another, the Bead connection moves with it.
Common questions & answers
Do I need a developer to set this up?
No. Connecting Bead works like connecting any other tool to your AI assistant. Open its connector settings, paste one address, and approve the request when Bead asks you to sign in. It takes about a minute and you do it yourself.
Can the assistant change anything in our audit?
Within your permissions, yes. An assistant can upload evidence, start a test or generate a working paper wherever you could do the same in Bead, and each action is recorded under your name. Anything you cannot do in the product, it cannot do either.
Can it see things I am not allowed to see?
No. Requests run as you. Bead applies the same permissions it applies when you use the product directly, so your assistant sees the controls, evidence and organisations you already have access to and nothing else.
Does our evidence end up training somebody else's model?
No. Inference runs under zero-data-retention terms in Bead's own cloud account, so nothing you ask about is stored or logged by the companies that build the models. Your own assistant is covered by a separate agreement between your company and that vendor. Check what it retains before you connect it.
Which AI assistants does it work with?
Any assistant that supports the Model Context Protocol, which today includes Claude, ChatGPT, Microsoft Copilot, Gemini and Cursor. MCP is an open standard, so a tool that adds support later works with Bead without any change on our side.
Can we turn it off for the organisation?
Yes. Access is granted per person and per assistant, so an administrator can revoke one connection or the whole integration, and it stops immediately. Nothing is cached outside Bead.
See it on your own controls
Book a call and we will connect an assistant to a working programme.
