HR & Recruiting

Powering internal hiring copilots, candidate-insights assistants, and TA Ops agents

Governed AI access to recruiting data enables internal hiring copilots in Slack or Microsoft Teams, recruiter-facing assistants that answer nuanced questions from candidate records and hiring workflows, candidate-insights assistants for debrief and status prep, and TA Ops agents that help keep pipelines clean without moving sensitive hiring data outside approved systems.

Why the human is still essential here

Talent teams still set the workflow rules, decide what to ask, verify recommendations and retrieved evidence, interpret outputs, and use judgment when communicating with stakeholders or changing candidate processes.

How people use this

Slack recruiter copilot

A Slack-based assistant answers questions like which roles are blocked, who still owes interviewer feedback, and which offers are nearing expiration using live recruiting data.

Slack AI / Claude

Teams hiring status bot

A Teams copilot lets hiring managers ask for candidate roundups, interview schedules, and next-step guidance without leaving Microsoft 365.

Microsoft 365 Copilot

Candidate debrief prep

AI answers questions about why a candidate advanced, what interviewers flagged, and how they match the role criteria using linked ATS evidence.

Greenhouse / Metaview

Need Help Implementing AI in Your Organization?

I help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.

LLM Orchestration

Design and build LLM-powered products and agentic systems

AI Strategy

Go from idea to production with a clear implementation roadmap

Compliance & Safety

Build AI with human-in-the-loop in regulated environments

Related Prompts (2)

Latest community stories (1)

News
Article

Greenhouse Launches MCP, Giving Hiring Teams a Governed Way to Connect AI Tools to Greenhouse

New York, NY β€” May 7th, 2026: Greenhouse, the leading hiring platform, today announced the Greenhouse MCP (Model Context Protocol), a new capability that gives customers a governed way to connect AI tools directly to Greenhouse. Developed with input from customer design partners, including StubHub and Komodo Health, the Greenhouse MCP will be rolled out to customers starting in June.

But connecting powerful models to sensitive hiring data has been difficult to do safely. Many organizations want to automate and improve existing workflows, enable new kinds of actions across systems, and experiment with AI-assisted ways of working. Doing that outside the hiring system of record creates risk. The Greenhouse MCP is designed for exactly those goals, a standard, permission-aware way for approved AI tools and agents to connect to Greenhouse, inside the structure teams already rely on.

GS
Greenhouse Software, Inc.Source
May 7, 2026