
AI Interview Scheduling for Lever
Coordinates interview times with candidates and panels, connected natively to Lever so it reads and updates postings, opportunities and interview panels.
Interview transcripts summarized into evidence against your scorecard, so panels compare candidates fairly.
After a round of interviews, panels often compare candidates from memory and scribbled notes, and the loudest opinion wins. This build transcribes each interview and lays out what the candidate actually said against your own scorecard criteria. Every panel member reads the same structured evidence before the debrief. It never scores or rejects anyone. The hiring decision stays entirely with your people.

AI Interview Intelligence transcribes interviews and summarizes the evidence against your scorecard, so every panel member sees the same structured notes rather than fragmented personal impressions. It delivers by email, Slack or a web dashboard. It is checked against your own past interviews before launch, and final hiring decisions always stay with your team.
A bad hire is expensive, and many start with a debrief where nobody can quite recall what the candidate said. Notes vary by interviewer, criteria get applied unevenly, and strong people are passed over for reasons no one can explain later. This build gives every panel the same evidence, organized by the criteria you already use, so decisions are fairer and easier to defend. The Scope Card lists the data sources, the criteria count and the delivery channel before you order, so you know precisely what arrives and what stays with your team.
Interviews are transcribed and the evidence is summarized against your scorecard. Every panel member works from the same structured notes rather than their own partial memory.
Because the transcript and summary are produced for them, interviewers can focus on the conversation. Structured notes arrive afterwards by email, Slack or a web dashboard.
Each summary ties what the candidate said to your scorecard criteria. Debriefs can start from evidence, while the final hiring decision always stays with your team.
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 | $3,900 |
| Express | 15–25 working days | $4,600 |
| Rush | 10–20 working days | $5,250 |
Before you start: For a few recent roles, record days from final interview to decision and debrief length. Keep sample scorecards for comparison.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build is a one-time price. Running it afterwards costs roughly $20 to $150 a month for AI model usage and hosting or scheduler fees, billed directly in your own accounts. Build and test usage follows the same rule, so every provider relationship stays yours.
Ask about running costsIf you need a fourth data source or more than 25 scorecard criteria tracked, add a note at checkout. You get a written Change Quote before any extra work starts. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionWe recommend monthly maintenance: monitoring, fixes and monthly hours for changes, enough to update the scorecard mapping when your criteria change for a role. The change hours scale with the build. Maintenance starts after the 30 days of included 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 | An interview intelligence platform charges a monthly seat fee per interviewer | A custom interview analysis build is quoted after discovery calls | Ours is one fixed price, shown before you buy |
| Scope | A generic platform ships default competency templates you must adapt | An agency agrees scope as the project develops | Ours is mapped to your own scorecard, on the Scope Card before purchase |
| Delivery | Self-serve interview intelligence tools still take weeks of scorecard setup | An agency project usually runs several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| What panels see | Many tools return a raw transcript panels must read in full | An agency build depends on what was specified | Ours summarizes evidence mapped directly to your scorecard criteria |
No. It transcribes interviews and summarizes evidence against your existing scorecard criteria, so panels can compare candidates on the same structured basis. It does not assign a pass or fail itself and does not make the hiring decision. Final decisions always stay with your interview panel and hiring team.
AI Resume Screening scores applications before an interview happens. AI Interview Intelligence analyzes what was actually said during the interview itself, mapped against your scorecard. They cover different stages of hiring, both come with 30 days of support, and many teams use one to feed the other as their process matures.
Up to three read-only sources, commonly your interview recording or video conferencing tool plus your ATS for scorecard data. You grant read-only access, so nothing changes in your source systems. At least three months of historical interviews sets the baseline before live use.
Roughly $20 to $150 a month for AI model usage and hosting or scheduler fees, paid directly in your own accounts. The figure depends on interview volume and recording length. There is no separate ongoing platform fee from Upmark Labs, and the build itself is paid once.
Yes. Access credentials are shared by adding our team as a user or creating a key you control, never sent by email, and connections to your recording tool and ATS are read-only. Summaries go only to the recipients and channel you named. PII redaction and data retention configuration are available as add-ons for sensitive candidate data.
Yes. Updating the mapping for a role within the 25-criteria limit fits inside the monthly change hours that come with maintenance. Expanding past that limit or adding a fourth data source is a larger change, quoted as a Change Quote before that work starts.
We check results against three months of your own historical interview data before launch, so you can confirm the summaries reflect what panels actually observed. Two rounds of changes let you adjust how evidence is weighted or presented against each scorecard criterion before going live.
Yes, plans bill monthly with no lock-in and can be cancelled for any coming month. The 30 days of support included with the build continue regardless of whether you take a plan. If you cancel, summaries keep generating on the existing configuration until you change something yourself.
Order AI Interview Intelligence and your interviews are transcribed and mapped to your scorecard, on a delivery date fixed before you pay. The Scope Card above is exactly what you get.

Coordinates interview times with candidates and panels, connected natively to Lever so it reads and updates postings, opportunities and interview panels.

Coordinates interview times with candidates and panels, connected natively to Workable so it reads and updates jobs, candidates and stages.

Coordinates interview times with candidates and panels, connected natively to Greenhouse so it reads and updates jobs, candidates, applications and scheduled interviews.