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.
A recruiting platform for growing companies that combines an applicant tracker, sourcing CRM, and analytics, with AI note-taking and applicant scoring built in.
Ashby is a recruiting platform that combines an applicant tracking system, a sourcing CRM, scheduling, and analytics in one product. Recruiters use its AI Notetaker to transcribe interviews and pull out key points automatically, and an Application Review feature scores and ranks incoming applicants so recruiters see the strongest first. The CRM side uses AI to help personalize outreach to past candidates worth a second look. Admins set permissions and workflow rules from a central settings area, and the platform is SOC 2 compliant. It is made by Ashby, integrates with systems like ADP Workforce Now for HR data, and counts fast-growing tech companies such as Notion, Shopify, and Zapier among its customers.
This fits a recruiting team at a growing tech or tech-adjacent company that wants deep reporting alongside its day-to-day hiring tools, once the company has a real recruiting operations team rather than one person hiring occasionally. A practical start is the Foundations plan, which recent pricing puts near three to four hundred dollars a month for a smaller team; larger Plus and Enterprise tiers are quote-based, so confirm current numbers with sales before budgeting. Past a certain scale, some buyers move up to a larger enterprise suite instead. One thing to check is how well its analytics match your existing reporting habits, since teams switching from a simpler tool sometimes find Ashby's data model takes real time to learn.
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: Based on 20 enabled users. This is a planning allowance, not verified product pricing. 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 Ashby 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.
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.
The AI layer across a combined HR, IT, and payroll system that answers plain questions with charts, parses resumes, and flags payroll errors before they run.
AI built into the HiBob core HR system that answers employee questions in plain language, predicts engagement risks, and automates HR tasks.
AI features inside the iCIMS applicant tracking system that screen resumes, chat with candidates, and write job descriptions, built for high-volume hiring.
Where to check the product, price, security, and support.
Recorded score and category rank across research updates.
Answer a few questions about your company and compare this tool with others. The research score above stays the same.
Want help moving from research to action? Explore TriVista’s AI consulting services →