AI recruiting

AI that’s built to make hiring better, not just faster

Like everything we do, Greenhouse AI is built on structured hiring – a proven framework for more fair, consistent and high-quality hiring decisions. Greenhouse AI cuts the manual work while keeping human judgment at the center of every hiring decision. 

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Read our AI principles
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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.
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Find and engage high-quality talent

Talent (re)discovery – Talent rediscovery and filtering tools that surface qualified talent and reduce duplicate applications and spam


Fast, branded job boards – Build your own beautifully branded job boards with ease, no coding or developer required


Sourcing team productivity – Surface the most interested candidates faster with automatic sentiment tracking and next-step routing

Use AI tools to streamline interviews

Automated hiring plans – Generate structured interview stages, questions and scorecard attributes for every interviewer


Resume review – Greenhouse-patented parsing technology helps you review resumes quickly while keeping identifying details redacted 


Key takeaways – Automated interview transcription, analysis and summaries keep hiring teams aligned and decisions grounded

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Make faster, more confident decisions

AI insights – Create report filters and build reports from text prompts, quickly surfacing the data your team needs


Offer forecasting – Use Greenhouse AI to predict when offers are likely to be accepted so teams can plan with confidence


Continuous improvement – Turn candidate feedback analysis into measurable improvements across your hiring process

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Responsible AI you can trust

Greenhouse AI is built on the same commitment to privacy, security and compliance that runs through everything we do.

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Privacy and data protection
Our AI solutions are designed to respect and protect user data, with encryption in transit and at rest to ensure confidentiality and security.

Legal and regulatory compliance
Our ISO 42001:2023 certification validates how we govern, develop and operate AI responsibly, giving customers independent, third-party assurance that Greenhouse AI is built to the highest global AI regulations, including the EU AI Act.
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Auditable by design
Greenhouse AI undergoes comprehensive bias auditing to ensure our models are fair, consistent and held to a standard that goes beyond what compliance requires.
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Frequently asked questions

How does AI recruiting software improve the hiring process?

AI recruiting software reduces manual work at each stage of hiring by automating repetitive tasks, surfacing relevant signals and supporting structured evaluation. Greenhouse AI is embedded across job setup, sourcing, application review, interviewing and reporting. Features include job description generation, scorecard summaries, keyword filtering, resume anonymization, offer forecasting and AI-powered report filters, available across all subscription tiers.

Can AI recruiting software reduce bias in hiring?

AI recruiting software can help reduce bias when built on structured hiring, transparency and human oversight. Greenhouse AI includes resume anonymization (which blurs PII such as name, photo and demographic data), AI-generated scorecard attributes for consistent evaluation and scorecard summaries that surface interviewer disagreements. Greenhouse undergoes monthly third-party bias audits by Warden AI and holds ISO 42001:2023 certification for AI governance.

What features should I look for in AI recruiting software?

Look for AI that is natively embedded in your ATS, requires human decision-making and includes transparency and governance controls. Key features include job description and scorecard generation, AI-powered candidate filtering, scorecard summaries, resume anonymization, offer forecasting, bias auditing and org-level toggles to enable or disable features. Avoid systems that use black-box composite scoring to rank candidates.

How does AI recruiting software integrate with an ATS?

The strongest AI recruiting software is built directly in your ATS rather than added as a separate tool. Greenhouse AI is embedded across job setup, sourcing, application review, interviewing and reporting – all managed via Configure > AI Tools. Third-party integrations sync insights directly to Greenhouse scorecards without manual entry.

Is AI recruiting software secure and compliant?

Greenhouse AI is built with security and compliance as core requirements. Key commitments include no training on personal data, TLS 1.2+ encryption in transit and AES 256-bit at rest, ISO 42001:2023 certification and monthly third-party bias audits. Greenhouse aligns with NYC Local Law 144, Colorado SB 205, the EU AI Act and California FEHA. Customers can enable or disable any AI feature at the org level.

Can AI recruiting software improve candidate experience?

AI recruiting software can improve candidate experience by reducing delays, enabling more personalized outreach and helping interviewers stay focused. Greenhouse AI automates prospect response categorization, generates personalized sourcing messages and summarizes scorecard feedback so recruiters spend less time on admin tasks. Resume anonymization ensures candidates are evaluated on qualifications rather than demographic information.

Who should use AI recruiting software?

AI recruiting software benefits any organization looking to hire more efficiently and consistently. Greenhouse AI is available across all plans (Core, Plus, Pro). It is most useful for teams facing high application volume, limited recruiting capacity, compliance requirements or bias and fairness priorities. Advanced features like AI-powered report filters and resume anonymization are available on higher tiers.

How should AI recruiting software be used?

AI recruiting software should support human judgment, not replace it. Use it to reduce repetitive work, surface relevant information and maintain consistency – while keeping all hiring decisions with people. Every feature is grounded in structured hiring data, designed to be explainable and can be reviewed or overridden at any time.

Ready to bring responsible AI into your hiring workflow?

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