Greenhouse AI
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.
An enterprise talent platform whose AI agent, Ray, plans workforce needs and matches employees and candidates to roles based on skills.
Beamery is a talent management platform aimed at large companies. HR and talent acquisition teams use it to pull scattered workforce data on skills, roles, and people into one place. Its AI agent, called Ray, gives recommendations such as which employee fits an open role or where a skills gap is forming. Recruiters use Beamery's CRM to manage candidate relationships and run AI-driven outreach and matching, and the platform models workforce scenarios for a coming project, weighing the mix of hiring, reskilling, and automation needed. It integrates closely with Workday and SAP SuccessFactors through its Talent Intelligence Hub and is built for skills-based workforce planning, not just applicant tracking. It is made by Beamery.
This fits a company already committed to skills-based workforce planning rather than just filling open jobs, with a dedicated talent acquisition operations group and Workday or SAP SuccessFactors already in place, since Beamery connects tightly to those systems. Beamery does not publish pricing and negotiates per account based on modules and company size, so treat any figure as a rough planning number until you get a quote. A good starting point is one module, such as the CRM or the internal talent marketplace, rather than the full platform at once. Independent reporting notes a steep learning curve for admins, so plan real time for setup and change management; this tool needs someone who owns talent data quality full time.
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 Beamery 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.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
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.
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.
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Where to check the product, price, security, and support.
Research observations recorded: 1. Evidence quality: Some support.
Recorded score and category rank across research updates.
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