
AI Resume Screening
Screens applications against role criteria and produces reviewer shortlists.
Lever opportunities that reach interview stage get times agreed with candidates and interviewers, in the background.
In Lever, a candidate can sit at interview stage for days while someone lines up three diaries by hand. This workflow takes that job over. When an opportunity enters the stage you name, it reads your interviewers' availability, drafts a scheduling message from your templates and records the agreed time on the opportunity. Your recruiters still decide who advances. The workflow just removes the waiting.

AI Interview Scheduling for Lever coordinates interview times with candidates and interviewers for opportunities in Lever, using a Lever API key to read postings and opportunities and to record scheduling back. It runs quietly as one workflow of up to 12 steps, drafting each candidate message from your templates and alerting a person when needed.
Coordinators on Lever often spend more time on calendars than on candidates. Each round of back-and-forth slows the hire, and in a tight market a slow reply can lose you the person you wanted. This build starts the moment an opportunity reaches your interview stage, so the first message goes out while interest is high and your team gets its hours back. Because the trigger, the calendar connection, the message templates and the alert rules are written on the Scope Card first, there are no surprises once the work begins.
Using a Lever API key, the workflow reads postings and opportunities, then coordinates times with candidates and interviewers. Bookings are recorded back in Lever without a recruiter typing them up.
Each candidate message is drafted from your templates by the workflow's AI step. Candidates receive clear, consistent emails, whichever recruiter happens to own the opportunity in Lever.
The workflow alerts a person when it needs help, such as when no time fits. Hard cases get human attention rather than stalling quietly in the background.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,400 |
| Express | 15–25 working days | $4,000 |
| Rush | 10–20 working days | $4,600 |
Before you start: Record average time to schedule from Lever for recent postings. Note how often candidates chase for interview times.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build is a one-time payment. Ongoing costs are roughly $20 to $100 a month in your own accounts for the automation platform and AI model usage, scaling with how many interviews pass through.
Lever licenses stay as they are. AI usage during build and testing is billed to you directly.
Ask about running costsA third connected system, more than 12 steps, or custom Lever objects outside the agreed mapping are priced in a written Change Quote of a note at checkout. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionMonthly maintenance is our recommendation here, covering monitoring, fixes and monthly hours for changes such as a new posting type or revised candidate messages. The change hours scale with the build. Maintenance starts after the 30 days of support.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A scheduling add-on bills per seat monthly | A recruitment agency builds coordination into its fee | Ours is one fixed price, shown before you buy |
| Trigger | Someone clicks to send a link | The coordinator notices | Ours starts when a Lever opportunity reaches your stage |
| Candidate messages | Generic booking emails | Written by hand | Ours drafts from your templates |
| Delivery | Set up team by team | Weeks to brief | Ours has a fixed delivery time shown before you buy, with faster options |
The interview stage you name at intake. When a Lever opportunity moves into it, the workflow reads the opportunity and its posting and starts coordinating times. Opportunities in other stages are ignored, so your recruiters decide who reaches interview and the workflow only handles the logistics.
Feedback is part of the available Lever mapping, but this build coordinates times. It never writes feedback or uses it to decide on a candidate. If you want the workflow to check that earlier feedback exists before booking a next round, that rule is agreed at intake within the 12 steps.
The workflow's one AI step drafts them from your own templates and tone, using details from the Lever opportunity and posting. You approve the templates at intake and see real drafts during the 20 test runs, so nothing reaches a candidate in wording you have not seen.
A Lever API key created by your Lever admin, scoped to the postings, opportunities and feedback in the agreed mapping. We confirm the setup together on a 30-minute call. The key belongs to your Lever account, and your admin can revoke it whenever needed.
Roughly $20 to $100 a month in your own accounts, for the automation platform and AI model usage. Teams running many interviews sit toward the top of that range. Lever licenses are unchanged, and there is no ongoing fee from us beyond optional monthly maintenance.
The delivery time is fixed and shown on this page before you buy, and express or rush delivery is available if a hiring push is coming. Sending the API key, your current process recording and sample cases within 72 hours of ordering keeps the date you were given.
Order AI Interview Scheduling for Lever and interview times for Lever opportunities are coordinated in the background, on a delivery date fixed before you pay. Your recruiters keep every hiring decision.

Screens applications against role criteria and produces reviewer shortlists.

Finds and summarizes candidates who match the role profile.

Transcribes interviews and summarizes evidence against the scorecard.