Accelerate recruiting and hiring
Organize candidate information, prepare job descriptions, and support recruiting workflows.
AI features inside the Greenhouse hiring platform that take interview notes, review resumes, and audit for bias, with a person always making the hiring decision.
Greenhouse AI is the AI layer built into the Greenhouse hiring platform. Recruiters use its Notetaker to transcribe interviews and map notes to scorecard questions automatically, and a Voice AI feature can run a real interview conversation with a candidate, not just a scripted recording. Resume Review uses Greenhouse's own parsing technology and can hide identifying details to support blind screening, and AI Insights lets a team build reports by typing a plain question. Greenhouse runs monthly bias audits on its AI features through an outside firm called Warden AI, holds ISO 42001 certification for AI governance, and states hiring decisions stay with people, not the algorithm.
This fits a company that already uses Greenhouse, or is choosing it now, since these AI features live inside that system and are not sold on their own, and a recruiting team that wants AI help with busywork like notes and report building while keeping every hiring decision with a person. A good starting point is turning on Notetaker and AI Insights first, adding Voice AI once the team trusts the workflow. Plans run from a lower tier near five thousand dollars a year to seventy thousand or more for larger deployments; treat that as a planning range and confirm with sales. Watch for extra costs at renewal, since some buyers report price increases of eight to fifteen percent a year, and note that hiring AI now falls under laws like New York's Local Law 144, so confirm which audits apply in your hiring locations.
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Organize candidate information, prepare job descriptions, and support recruiting workflows.
Bring key business metrics together in dashboards and summaries for leadership.
The industries and leadership roles this tool is most often matched with.
How one company factor at a time moves the modeled score. The published score is unchanged.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $21K | $34K | $56.2K |
| Three-year total | $39.1K | $61.1K | $97.9K |
| First-year cost per unit | $1K | $1.7K | $2.8K |
| Average annual cost per unit (over three years) | $651 | $1K | $1.6K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $1.1K | $1.5K | $2K |
| Implementation | $5.4K | $9K | $15.3K |
| Integration | $3.9K | $7K | $12.6K |
| Staff time and change management | $3.5K | $5K | $7K |
| Security | $2.8K | $4K | $6K |
| Administration | $2.3K | $3K | $4.1K |
| Support | $1.1K | $1.4K | $1.9K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 20 enabled users. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Greenhouse AI and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Export Greenhouse AI employee or candidate records, configurations, criteria, score definitions, decisions, notices, corrections, and audit history subject to labor and retention law. Proprietary recommendations may not transfer, so preserve the evidence needed to explain prior decisions and require deletion of personal data.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
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Where to check the product, price, security, and support.
Research observations recorded: 1. Evidence quality: Good support.
Recorded score and category rank across research updates.
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