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.
AI features inside the Lattice people management platform that summarize reviews, draft feedback, surface engagement insights, and answer employee HR questions.
Lattice AI is the AI layer inside Lattice, a people management platform managers use for performance reviews, goal tracking with OKRs, one-on-ones, and engagement surveys. Its AI summarizes performance review content and 1:1 notes, pulling out themes managers might miss, and can draft review language based on documented goal progress for a manager to edit and approve. A newer AI agent goes beyond the chatbot format to answer employee questions and coach managers inside their daily workflow, and Lattice offers AI-based pay analysis to flag pay gaps or outliers. The platform is modular: a company can buy just performance tools, just the HRIS, or the full set together. It is made by Lattice.
This fits a company moving away from once-a-year reviews toward more frequent, lighter check-ins and goal tracking, and a people team that wants to add core HR records later without switching systems, since Lattice sells an HRIS module alongside its performance tools. A pilot with one or two departments on the Performance and Goals modules is a reasonable way to start, adding the full HRIS later if it fits. Lattice prices per module per seat, with a single module starting near four dollars a seat monthly and rising from there, plus a minimum annual spend; treat those as planning estimates and confirm the current price list with sales. Lattice does not usually offer a free trial, only a guided demo, so plan extra time up front to test the tool properly before signing.
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 Lattice 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.
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