Every system asks if an action is allowed. None asks if it should happen.

AI assistants

The assistant asks before it acts, and gets your answer.

Tredy connects to assistants over MCP, so a model that is about to take an action can check it against the policy your services already wrote — and get back a decision with a citation, not a refusal.

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Governing AI and human actions across the tools your teams already use

  • Claude
  • ChatGPT
  • Slack
  • Microsoft Teams
  • Microsoft 365
  • Gmail
  • GitHub
  • GitLab

What it does

  • Connects over MCP, so no assistant-specific integration work
  • Checks the intended action against the rule set your services produced
  • Returns the decision with the obligation and source behind it
  • Escalates to the named owner when the answer is not clear-cut
  • Records every check, so the assistant's actions are reviewable afterwards

What it connects

Claude · ChatGPT · Gemini · Copilot

Tredy connects to assistants over MCP, so a model that is about to take an action can check it against the policy your services already wrote — and get back a decision with a citation, not a refusal.

Why it matters

Before the action

The check happens while the action is still intended, not after it has landed somewhere.

One policy, every assistant

The same rule set answers Claude, ChatGPT and Copilot identically. No per-tool interpretation.

Reviewable

Each check is recorded with its inputs, the rule applied and the outcome.

Start with one service.

A 30-minute scoping session with your risk owner and your IT contact.