Where humans and agents collaborate

Governed AI in every interface.

A person asking in Slack and an agent working over MCP get answers compiled from the same definitions, with your access rules applied.

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Honeydew AI

Any interface, same AI

Honeydew connects AI analysis to where work happens.

Users and agents can ask, refine, and share results through Honeydew Studio, Slack, Microsoft Teams, embeddable APIs, or via MCP for external AI systems.

AI overview
Any interface, same AI

Safe automation through MCP

Through the Model Context Protocol (MCP), AI agents using Honeydew can safely act on data - trigger alerts, update systems, or recommend decisions - all within governed limits.

Each action passes through Honeydew's compiler, ensuring it follows business rules, access controls, and audit policies.

APIs and MCP
Diagram of an AI agent acting on data through MCP, each action passing through Honeydew’s compiler to enforce business rules, access controls, and audit policies

Data, a chart, or a written answer

AI in Honeydew can return the right form for each question - data, chart, insight, or full report - all grounded in the same semantic logic. Agents using MCP can request the format and level of response they need.

Deep analysis
Screenshot of Honeydew AI turning a natural-language question into a bar chart of top San Francisco neighborhoods by review count

Answers in Slack and Teams

Add the Honeydew app to Slack or Microsoft Teams and a business user asks in the channel they already work in. The answer compiles from the same governed definitions and access rules as every dashboard.

Slack appTeams app
Microsoft Teams thread where a business user asks the Honeydew Analyst Bot a revenue question and it routes the question to the Analytics agent