Scroll Subnavigation
Responsible innovation

Meet the next wave
of Greenhouse AI

We’re not just adding more AI to hiring. We’re applying it with purpose. See how our new AI recruiting capabilities reduce manual work, improve signal and keep hiring structured, explainable and human led.

Request a demo
Our AI philosophy
Job setup
Job kickoff agent
Job Kickoff Agent is expected to launch in Q3 of 2026.
Move from kickoff to job setup faster
Help recruiters turn kickoff notes, documents and pasted text into structured Greenhouse job setup, reducing manual work while keeping teams in control.
Empower human judgment
Job Kickoff Agent is not about automating away judgment. It’s about reducing the manual work that makes structured hiring harder to execute in practice, so recruiters can make more informed decisions.
Interviewing
Interviewing
Greenhouse Notetaker is expected to launch in mid-July 2026.
Capture structured notes
Automatically record and transcribe interviews, so interviewers can stay present, ask better follow-up questions, and capture stronger feedback for evaluations later.
Support stronger scorecards
Map AI-generated notes directly to scorecard questions, reducing friction in the evaluation process and helping interviewers make more confident hiring decisions.
Decision-making
Decision-making
Candidate Question Agent is expected to launch in Q3 2026.
Ask questions about any candidate
Give hiring teams clear answers about a candidate based on scorecards, notes and activity in Greenhouse. This helps reduce tab-by-tab profile reconstruction and prep time before debriefs.
Surface candidate context
Help prevent candidate drop-off and strengthen structured hiring decisions with AI-generated hiring manager briefings and candidate status updates.
Analytics
Analytics
Analytics Chart Agent will launch in June 2026, with AI Reports Insight scheduled to come out in August.
Analytics Chart Agent
Turn plain-text questions and requests into a usable visualization faster, utilizing Greenhouse AI to build chart types, metrics and configurations instead creating and selecting them manually.
AI Report Insights
Embedded in the existing Text Widget, teams can easily turn data into clear, shareable summaries and suggested next steps, so you can go from analytics to actual decision-making faster.
MCP
MCP
The Greenhouse MCP is expected to be available more broadly in June.
What is an MCP?
An MCP is the language AI tools use to communicate, much like an API. Use it to connect tools like Claude, Gemini or Copilot directly to Greenhouse.
Connect your AI to Greenhouse
Sync Greenhouse hiring data to your AI tools to generate weekly health briefs, create executive-ready summaries and monitor for patterns, all while keeping sensitive data safe and eliminating offline processes outside the system of record.
Job setup
Notetaker
Candidate insights
Analytics
MCP
Job setup
Job Kickoff Agent is expected to launch in Q3 2026.
Set up jobs in minutes
Help recruiters turn kickoff notes, documents and pasted text into structured Greenhouse job setup, reducing manual work while keeping teams in control.
Empower human judgment
Job Kickoff Agent is not about automating away judgment. It’s about reducing the manual work that makes structured hiring harder to execute in practice, so recruiters can make more informed decisions.
Notetaker
Greenhouse Notetaker is expected to launch in July 2026.
Capture structured notes
Automatically record and transcribe interviews with Greenhouse Notetaker, so interviewers can stay present, ask better follow-up questions and capture stronger feedback for evaluations later.
Support stronger scorecards
Map AI-generated notes directly to scorecard questions, reducing friction in the evaluation process and helping interviewers make more confident hiring decisions.
Candidate insights
Candidate Question Agent is expected to launch in Q3 2026. 
Ask questions about candidates
Use Candidate Question Agent to get clear answers about a candidate based on scorecards, notes and activity in Greenhouse – reducing tab-by-tab profile reconstruction and debrief prep work.
Surface candidate context
Help prevent candidate drop-off and strengthen structured hiring decisions with AI-generated hiring manager briefings and candidate status updates. 
Analytics
Greenhouse Analytics and Analytics Chart Agent will launch in June 2026, with AI Report Insights expected in August 2026. 
Analytics Chart Agent
Turn plain-text questions into charts faster, using AI to build visualizations without requiring manual chart setup. 
AI Report Insights
Teams can easily turn dashboard data into clear, shareable summaries and suggested next steps, so you can move from analytics to actual decision-making faster.
MCP
The Greenhouse MCP is expected to be available more broadly in June. 
What is an MCP?
An MCP is the language AI tools use to communicate, much like an API. Use it to connect tools like Claude, Gemini or Copilot directly to Greenhouse.
Put your AI tools to work
Generate weekly health briefs, create executive-ready summaries, monitor for patterns and support new workflows, all while keeping sensitive data governed inside the system of record.

Greenhouse Voice AI

We’re bringing conversational AI to hiring. Now, more candidates get a real shot at an interview – and recruiters get richer signal than they’d ever get from just a resume.

Learn more

AI across the hiring workflow

Every AI capability works inside the structured hiring framework, reducing friction, delivering the right information at the right time and making it easier to make better, more informed hiring decisions.

Request a demo
Our AI principles

Innovate responsibly

While the market automates, Greenhouse innovates responsibly. Five design pillars govern every AI capability we ship, keeping us ahead without leaving accountability – or humanity – behind.

1
Structured hiring is at the core
Structure is what allows AI to work responsibly. It gives AI the context to evaluate real signals instead of surface patterns, replacing black-box risk with something explainable and consistent.
2
Hiring, reimagined
AI isn’t about hiring faster, it’s about hiring better. More connected decisions, more intentional experiences and a hiring system that works for everyone.
3
Grounded in the human experience
Greenhouse AI is built to recognize cognitive load and reduce the risk of bias under pressure, keeping human judgment sharp when it matters most.
4
Explicit decision ownership
Greenhouse AI can inform, summarize and surface insights – but the decision is always yours, not handed to an algorithm.
5
Explainability is non-negotiable
Every Greenhouse AI output is transparent and grounded in observable signals, so your team can audit, learn and hire with confidence.

FAQ

‍

How does Greenhouse think about AI in hiring?

Greenhouse believes AI should strengthen hiring, not shortcut it. That means using AI to reduce manual work, surface stronger signal and support better decisions while keeping people accountable for every hiring decision.

Does Greenhouse AI make hiring decisions for customers?

No. Greenhouse AI is designed to support hiring teams, not replace them. AI can help summarize, surface information and reduce administrative burden, but people remain responsible for evaluating candidates and making final hiring decisions.

How does this fit with structured hiring?

Structured hiring is the foundation for how Greenhouse applies AI. These capabilities are designed to work inside structured hiring workflows, helping teams make more consistent, explainable and evidence-based decisions.

What is Greenhouse MCP, and how is it different from the other features on this page?

Greenhouse MCP is a governed way to connect approved AI tools directly to Greenhouse. While the other capabilities are native Greenhouse features, MCP is designed to help customers use their own AI tools with Greenhouse data and workflows in a structured, permission-aware way.

Stay up to date on product releases

Follow release notes