Chatbato helps teams build chatbots that can act — but never without control.

Chatbato connects chatbots to MCP tools with rules, human approval, monitoring, audit trails, emergency stop, rollback, and workspace governance built into the operating model.

Governed workflow

chatbato workspace

Controlled
1MCP server selected
2Rules and scopes reviewed
3Approval gate applied
4Action monitor and audit active
Human approval for risky actions
Audit trails for every decision
Workspace-level control
Emergency stop and rollback
Governed MCP integrations

Tool-connected chatbots become risky when action is separated from oversight.

A chatbot that can reach business systems needs more than a prompt and an API key. Teams need scoped access, approval boundaries, logs, monitoring, and a reliable way to stop or reverse operational mistakes.

Chatbato sits between chatbots, MCP tools, and operators.

Teams can connect MCP servers, bind tools to bots, define rules, require approval for sensitive work, and monitor outcomes without exposing secrets or relying on direct frontend-to-Obot execution.

A governed path from tool access to production use.

Chatbato keeps the workflow understandable for admins, operators, and reviewers.

01

Choose MCP servers from the marketplace.

02

Connect the bot to approved tools.

03

Define rules, scopes, and approval requirements.

04

Deploy the chatbot to the workspace.

05

Monitor actions, approvals, and audit history.

06

Stop or rollback when operations require it.

Everything needed to run action-capable chatbots with operational discipline.

The landing preview is static, but the product model is built around governed automation and accountable operations.

MCP Marketplace

Connect Wizard

Rule Builder

Approval Inbox

Action Monitor

Timeline and Audit

Widget Installation

Pilot Controls

Emergency Stop

Rollback

Automation remains accountable to people.

Chatbato treats action as an operational event, not a hidden side effect.

Risky actions require approval

Rules can require a human decision before a tool-connected chatbot takes sensitive action.

Denied actions are blocked

When approval is denied or policy does not allow the action, the platform blocks the action instead of continuing silently.

Everything is logged

Approvals, denials, blocked actions, operator decisions, and outcomes are recorded for review.

A quiet admin console for operational visibility.

These cards are illustrative only: no customer data, no secrets, no live execution, and no provider calls.

Pending action review

Static preview for a governed workspace

Approval required

12

awaiting approval

4

blocked by rule

98

audit events

Recent timeline

Support bot requested an MCP tool action; approval is pending.
Rule Builder blocked an out-of-scope finance action.
Emergency stop was tested and recorded in the audit trail.

For teams that need chatbots connected to real work.

Chatbato is designed for environments where actions, approvals, and records matter.

Support workflows
HR service desks
Sales operations
Internal operations
Healthcare administration
Finance operations

Built for controlled execution, scoped access, and reviewable operations.

The public landing page introduces the operating model without enabling any execution path.

Workspace isolation keeps bot configuration, policies, and operational records scoped to the right organization.
Scoped credentials are handled as backend-controlled configuration, not public page content.
Audit trails preserve decisions and outcomes so reviewers can understand what happened and why.
Raw secrets are never exposed in the browser or in static landing content.
There is no direct frontend-to-Obot execution path on this landing page.

Build chatbots that can help with real operations while keeping control visible.

Start with MCP integrations, approval rules, monitoring, and rollback as part of the design from day one.

Contact Chatbato