A meeting on the calendar is progress. A longer list is homework. Mira, our AI recruiter, carries every interested candidate through one of the leakiest steps in hiring, and what reaches you is an interview already booked.
Most hiring tools stop the moment a candidate says yes, and the booking becomes your email thread. Mira treats the booking as her job. She collects availability while interest is fresh and returns interested candidates with recent resumes and interview times that fit your calendar. In 95 percent of roles the first interview is scheduled within 24 hours, and roles fill in about a week against a commonly cited 45-day average. The meter matches the deliverable: you pay per interview-ready candidate, and if nobody clears your bar, nothing is spent.
Picture the moment a candidate replies with real interest. Every dollar upstream was spent to produce it: the sourcing, the matching, the outreach, the follow-ups. In most hiring stacks, this is also the exact moment the software stops. The tool marks the row green, hands you a name, and the booking, the step that turns interest into a meeting, becomes an email thread.
That thread is where funnels die quietly. You propose Tuesday. The candidate sits eight time zones away and answers overnight, so Tuesday fills up before you read the reply. You counter with Thursday, and the hiring manager moves a meeting. By the third round trip a week is gone, and a week is a very long time for a person who is interviewing elsewhere.
Part of the problem is structural. A booking needs three calendars to agree: the candidate's, the hiring manager's, and whoever is brokering between them. Email serializes that negotiation into round trips, and nobody in a normal stack owns the stage. The recruiter is juggling twenty other threads. The hiring manager treats scheduling as an interruption. The candidate, reasonably, treats silence as an answer. Our research note on the end-to-end pipeline names calendar coordination as one of the operational costs that sit between a hiring request and a scheduled interview, and it is the one that arrives last, after everything else has been paid for.
We do not publish a per-stage drop-off distribution, so we will not invent one here. The qualitative claim is enough, and anyone who has hired feels it: interest has a shelf life. A candidate list decays while emails bounce between calendars, and the person who was excited on Monday is weighing a counteroffer by Friday. Losing someone at this stage is the most expensive way to lose them, because every earlier stage already paid its cost.
Mira treats scheduling as a first-class stage of her pipeline. The research note describes the five specialized sub-agents she runs on, and the Engage Agent owns the conversation from first touch to booked slot. Engagement there is a stateful, multi-turn process. When a candidate signals interest, the agent collects the minimum needed to move fast: an updated resume, current location, work authorization, compensation expectations, and interview availability. When a candidate raises concerns, it clarifies without overpromising. When one goes quiet, it schedules spaced, varied follow-ups and stops after a defined limit, because a company's reputation with candidates outlasts any single role.
The unit that comes out the other end reflects this. Mira delivers interested candidates, each with a recent resume snapshot and interview time options that fit your calendar, plus a transparent rationale for every selection. The booking happens inside the same conversation that produced the interest, while the interest is still warm, instead of in a fresh thread you have to start and then remember to chase.
| Scheduling by email thread | Scheduling inside the pipeline | |
|---|---|---|
| Who proposes times | You, candidate by candidate | Mira, in the conversation that found the interest |
| When booking happens | Days later, after round trips | While the interest is fresh |
| What silence costs | A thread you must remember to chase | Spaced follow-ups with a defined stop |
| What you receive | A name and an email address | A booked interview, with a recent resume attached |
The same stage, run two ways. The left column is where candidate lists go to decay.
Scheduling is also one of the oldest flows in our test suite. The first golden set our evaluation system was built on covered the trunk of every core scenario, the standard interview-scheduling flow among them, and the outcome-level question that layer asks is blunt: did the interview actually get scheduled? Reply rates and interview show rates flow back into the pipeline as signals, so every meeting that gets booked, kept, or missed teaches the system something about the next one.
The case for automating this stage shows up at the finish line. The figures below come from the roles Metix AI has run so far, published with our funding announcement, and they are our own numbers, so give them the scrutiny vendor numbers deserve.
Read the first two together. Within 24 hours of defining a role, 95 percent of roles have a first interview scheduled. Not sourced, not shortlisted, scheduled. The verb is doing precise work there. Scheduled means that inside the first day the interview has a confirmed slot on your calendar, and the meeting itself happens whenever that slot arrives, sometimes days later. We phrase it that carefully because the two claims are different sizes: a booking inside a day is what our numbers show, and a meeting inside a day would be a bigger promise than the data makes. The third number sits downstream of the other two: roles fill in about a week against a commonly cited industry average of 45 days. Our read is that most of that compression comes from removing the waiting, and we call it a read because the stage-by-stage timing is a breakdown we do not publish. A traditional agency search, for comparison, usually runs four to six weeks.
One more figure belongs in this picture. Outreach through Mira gets about five times the response rate of standard outreach, and that matters here because a reply that never arrives is the first scheduling failure. More replies mean more conversations that can end in a booked slot, and a booking motion that keeps pace with them means fewer of those conversations expire on the way to a calendar.
Here is the argument in its strongest form. Automating sourcing multiplies the top of the funnel. That work is real, we do it ourselves across 860M+ profiles in 190+ countries, and it is still the smaller lever. A list of five hundred names decays at the same rate as a list of fifty. You can search a huge pool in a second and still walk into Thursday without a single meeting on the books, because finding people faster does nothing to stop interested ones from leaking out at the bottom while calendars negotiate by email.
Scheduling speed is also adversarial in a way sourcing volume is not. Your list competes with nobody. Your calendar does. The strong candidate on it appears on other companies' lists too, and the company that books the first meeting frames everything that follows. This is why Mira runs the whole loop rather than shipping a faster list: an automated funnel that stops before the calendar hands one of its leakiest stages back to the person with the least spare time, and the leak swallows the gains.
Our pricing points at the same stage by design. You pay per interview-ready candidate, and interview-ready has a definition: the person matches the role's must-haves, has confirmed interest, and is booked on your calendar. One credit unlocks one such person. If nobody clears your bar, credits stay unspent and nothing is charged. Plans run from $49 to $299 a month, carrying 3 to 75 hire-ready candidates a month depending on the tier, and annual billing takes 10 percent off. An agency finishing the same search commonly charges 20 to 30 percent of first-year salary. The full argument for metering hiring on outcomes, and the mechanisms that keep the meter honest, lives on its own page.
The credit can only sit on the booked interview because the booking runs in software. A vendor charging per scheduled interview while scheduling by hand would drown in coordination cost. Automation carries the volume, and a human holds the bar: a delivery lead reviews every candidate before they reach you, and you approve the outreach that goes out under your name.
The honest boundary: Mira books the meeting and stops at the door. The interview, the evaluation, and the decision stay with you, on purpose. Judgment about who joins your team is not something we think should be automated away. What we remove is everything between an interested candidate and a booked slot: the availability collection, the timezone arithmetic, the follow-up cadence, the thread that refuses to die.
And when a booked meeting is missed, the signal is kept rather than shrugged off. Show rates feed the same closed loop that refines search, scoring, and messaging, so the system gets better at producing interviews people show up to. Suppose, for instance, that candidates squeezed into early-morning slots skip their meetings more often than everyone else does. A funnel that ends at the booking never sees that pattern. A funnel that owns the ending can catch it and steer future proposals toward slots people keep. That is the quiet advantage of owning the last stage. The funnel finally reports on its own ending.
The fastest way to test any of this is a role you need filled now. Metix AI runs it as a free 14-day trial with 3 New Roles and 12 Credits, no card required. Define the role, approve the outreach, and watch whether interviews land on your calendar inside the first day. Then decide.
In 95 percent of roles, the first interview is scheduled within 24 hours of defining the role. Roles fill in about a week against a commonly cited industry average of 45 days, while a traditional agency search usually runs four to six weeks.
Yes. Mira's Engage Agent collects availability from interested candidates in the same conversation that produced the interest, and what you receive is a booked interview with a recent resume attached, not a name on a list.
A person who matches the role's must-haves, has confirmed they are interested, and is booked on your calendar. A delivery lead reviews every candidate before they reach you, and you approve the outreach that goes out under your name.
No. One credit unlocks one interested, hire-ready candidate, and if nobody clears your bar, credits stay unspent and nothing is charged. Plans run from $49 to $299 a month with 3 to 75 hire-ready candidates a month, and annual billing saves 10 percent.