HR
Fill open roles faster, take routine questions off your team, and keep the people you have.
Updated 4 days ago · 9 sources
Who already did it
- Enterprise
Chipotle
Hiring restaurant staff took 12 days, and managers lost shift time to scheduling interviews.
Time from application to first day fell from 12 days to four.
How they did it
Chipotle handed the application and interview scheduling to an AI assistant called Ava Cado. About 30% of that scheduling now happens after hours, when no general manager is on the clock.
- Enterprise
Formula 1
Three recruiters handled 78,000 applications a year and could not promise every CV a read.
Screening time down 16%, time to hire down 10 days, 97% of screening automated.
How they did it
Formula 1 moved recruiting onto Workday and added HiredScore, which reads and ranks incoming applications. Recruiters now work the shortlist instead of the pile.
Tool used Workday HiredScore
- Mid-market
Asymbl
Asymbl hired 100 people in 100 days and its HR team drowned in basic questions.
About 10 hours of work a week off the HR team.
How they did it
Asymbl built an AI agent (software that answers questions and makes changes on its own) called Polly, reachable in Slack. It handles benefits, retirement and time-off requests. Anything outside its training goes to a person.
- Learn from thisEnterprise
Workday
Applicants said screening software rejected them for reasons that had nothing to do with the job.
So: Ask which signals the screener uses, like gaps in employment. Have a person approve every rejection and keep that record.
How they did it
Workday sells AI screening used by many employers. Rejected applicants sued, arguing the software screened out older, Black and disabled candidates using signals like gaps in employment history. In 2026 a federal judge let the discrimination claims move forward.
Tool used Workday
- Learn from thisEnterprise
SiriusXM
One applicant was screened out of role after role by software he never spoke to.
So: Strip school name and zip code from what the screener sees. Then check your rejection rates by race and age every quarter.
Epstein Becker Green · Oct 2025
How they did it
SiriusXM screened applicants with automated resume software. Arshon Harper applied to about 150 roles and was rejected from all but one. He sued, arguing the tool used schools, employment history and zip codes as stand-ins for race.
What to use, who to call
Eightfold AI
Reads your open roles and your applicant pool and ranks who is actually a fit, including people already inside your company.
enterpriseMonthsSeparate software to buyIT sign-offIs this your first move?
What it fixes. Recruiters spending days screening resumes that were never going to work, and missing internal candidates entirely.
Good fit when. You hire at volume and your team is drowning in inbound applications.
Skip it if. Under roughly 50 hires a year. Setup cost outweighs the saving, and thin data makes the ranking guesswork.
Start with. Ask your ATS (the system that stores job applications) whether it already connects to Eightfold. Most do.
Take 7 questions to the call
Why call them. You are about to fund a large external hiring plan and suspect the talent is already inside.
What they fix. You cannot see the skills you already have, so you keep hiring for them.
- Which of your customers is closest to my headcount and industry, and can I talk to them directly?
- What does month one look like, concretely — what do I get before we have all the data cleaned up?
- How much of my HRIS (the system holding employee records) and ATS data has to be clean before this produces anything useful?
- How do you handle bias auditing, and can you produce the documentation my legal team will ask for?
- Where does my employee data live, who can access it, and what happens to it if we leave?
- What is the total first-year cost including implementation, and what does my team have to staff?
- What is the most common reason a rollout like mine disappoints?
Paradox
Handles the back-and-forth of scheduling interviews and answering candidate questions over text.
mid-market to enterpriseWeeksSeparate software to buyIT sign-offIs this your first move?
What it fixes. Candidates dropping out because nobody replied for four days.
Good fit when. High-volume hourly or retail hiring where speed decides who you get.
Skip it if. Small executive search, or roles where candidates will not text. A bot cannot sell a senior person on the job.
Start with. Measure your current time-to-first-response. That number is the whole business case.
Take 7 questions to the call
Why call them. Your time-to-first-response is measured in days and you hire hourly workers.
What they fix. Candidates disappear while your team is busy with something else.
- What happens when a candidate asks something the system cannot answer?
- How quickly can we go live, and what does the configuration actually require from my team?
- Which of your customers hires at my volume in my industry?
- How do you handle accessibility and candidates who cannot or will not use text?
- What compliance documentation do you provide for automated screening — specifically for NYC Local Law 144 and Illinois HB 3773?
- What is the pricing model, and how does it change as our hiring volume moves?
- Show me a deployment that underperformed and tell me why.
Gloat
Matches your existing employees to internal projects and roles based on skills rather than job titles.
enterpriseMonthsSeparate software to buyIT sign-offIs this your first move?
What it fixes. Hiring externally for skills you already have in the building.
Good fit when. Large workforce, real retention pressure, and a leadership team that will back internal moves.
Skip it if. Under a few thousand employees. The marketplace needs density, or people open it once and never return.
Start with. Ask whoever runs your HRIS (the system holding employee records) how complete your skills data is. If it is thin, start there.
Take 6 questions to the call
Why call them. You have a retention problem and a reorganization coming.
What they fix. Skills are invisible above team level, so people leave for jobs you already had open.
- How do you get skills data if our HRIS records are incomplete, which they are?
- What adoption rate do your comparable customers actually reach in year one?
- What do managers have to do differently for this to work, and how do you get them to do it?
- How does this connect to our existing HRIS and learning systems?
- What is the realistic timeline to the first measurable retention effect?
- Which customers stopped using you, and what did they say?
What everyone is asking
- NewJul 2026
Best AI for hiring hourly and frontline staff right now?
Text-first assistants that screen and book interviews. Speed decides who you get. Chipotle cut application-to-start from 12 days to four. Formula 1 automated 97% of screening.
The short answer
Nobody argues about the speed gain. People disagree about letting software rank candidates, which is where the lawsuits start.
Also worth a look. Paradox, Workday HiredScore, Phenom
- NewJul 2026
Will AI resume screening get my company sued?
It can. A judge let discrimination claims against Workday move forward in 2026, and SiriusXM faces a race claim over automated screening. Buying the tool does not move the risk.
The short answer
Lawyers agree the exposure is real. They split on how far an audit protects you — in the Workday case, its own testing was shielded as legal advice.
Also worth a look. Keep a person reviewing every rejection, Run an independent bias audit — an outside check for skewed results — every year, Turn off automatic ranking and use the tool only for scheduling
- NewJul 2026
Best AI for answering employee HR questions?
A small agent trained on your own policy, sitting where people already talk. Asymbl put Polly in Slack and took about 10 hours a week off its HR team.
The short answer
The split is over judgment calls. These agents answer policy questions well and hand anything needing interpretation to a person.
Also worth a look. An agent trained on your own policy documents, ServiceNow HR agents, The assistant already built into your HRIS (your core employee record system)
- NewJul 2026
Best AI for internal mobility and skills mapping?
It depends on your size. Gloat suits enterprises above roughly 5,000 staff losing people to outside roles. Eightfold suits you when external hiring and internal moves share one system.
The short answer
Both comparisons come from vendors in the same market. Read them for the tradeoffs, not the verdict.
Also worth a look. Gloat, Eightfold AI, Engagedly, Beamery
Try this today
Rewrite a policy page into plain English
20 minFewer repeat questions to your team, and a policy people will actually read.
Copy the prompt
You are an HR communications editor. Below is a company policy written for lawyers. Rewrite it for employees at [COMPANY] reading on a phone. Rules: keep every rule, deadline and dollar figure exactly as written; change no entitlement; use short sentences and the word 'you'; cut words that carry no meaning. Format it as a one-line summary, then four headed sections: What you get, What you have to do, Dates that matter, Who to ask. At the end, list under 'Check with legal' any sentence you were unsure how to simplify. Policy: [PASTE POLICY]
One check first. Read it against the original, line by line. Legal or benefits signs off before it replaces the real policy.
Find the themes in your exit interview comments
30 minOne page of the real reasons people leave, ranked, ready for your next leadership meeting.
Copy the prompt
You are a researcher who reads employee feedback for a living. Below are the written comments from [NUMBER] exit interviews at [COMPANY]. Group them into no more than seven themes. For each theme give: a plain-English name, how many comments sit in it, two short quotes as evidence, and whether it points at pay, the manager, workload, career path or something else. Rules: use only what is in the comments; invent nothing; say so when a theme rests on fewer than three comments. End with the three themes a leader could act on this quarter. Comments: [PASTE COMMENTS]
One check first. Strip names and job titles before you paste. Check every quote against the source; the counts and the grouping are guesses.
Rehearse a hard conversation before you have it
15 minYou walk in with the three hardest questions already answered, not hearing them for the first time.
Copy the prompt
You are coaching me before a hard conversation at work. I am [YOUR ROLE]. I need to tell [WHO THIS IS] that [WHAT YOU HAVE TO SAY]. Background: [TWO OR THREE LINES OF CONTEXT]. Give me four things: an opening of no more than four sentences; the five hardest questions this person is likely to ask, each with a straight answer; three phrases to avoid because they sound rehearsed or evasive; and one sentence to close on. Rules: no jargon, no filler sympathy lines. Flag anything in my background notes that a lawyer should read before I say it out loud.
One check first. Anything touching pay, dismissal or a live complaint goes to employment counsel first. The model does not know your contracts.
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