AI candidate matchingMatch every new role with people you already met.

Jarvi reads your job offer and brings back the closest people from your own database, ready to add to the project.

  • A search written for you from the job offer
  • Only people who are not in the project yet
  • Your shortlist added to the project in one click

Used by 1,200+ agencies and recruiters in 25 countries.

Stellar
Brainfield
Stakha
SIC
Source To Match
Happy Hire
Millesime

Candidate rediscovery

Your talent pool already holds part of your next shortlist

Over the years your agency has met thousands of people for other clients and other roles. Matching brings the right ones back when a new role needs them.

Your database, by the year you met them

  1. 2020
    AVAdam V.DKDavid K.SLSara L.YTYuki T.FCFatima C.
  2. 2021
    MBMarco B.LPLena P.GHGreg H.ASAmir S.PNPriya N.
  3. 2022
    LRLena R.TOTom O.KAKofi A.EJEva J.
  4. 2023
    OSOmar S.JMJulia M.LDLiam D.RKRosa K.
  5. 2024
    NHNina H.RWRob W.PZPia Z.MOMia O.
  6. 2025
    HSHana S.BEBen E.ZAZara A.NKNoah K.

Payroll Manager

New role · Leeds · October 2026

Back on your desk for this role

  • NH

    Nina H.

    Interviewed in 2024, notes on file

  • OS

    Omar S.

    Applied for another role in 2023

  • DK

    David K.

    Placed as Payroll Officer in 2020

They come back with their history

Your notes, past interactions and earlier projects are still on the profile, so you pick up the conversation where you left it.

They already know your agency

Calling someone you interviewed two years ago is a warmer conversation than a first contact with a stranger.

Your old projects keep paying back

Every candidate you met for a past client stays searchable for the next one, however long ago it was.

AI search

Search your candidate database the way you would ask a colleague

You type what you need in a normal sentence, with or without a project open, and Jarvi turns it into a search on your database. Each question below shows what comes back.

Try one of these questions

Ctrl+ForCmd+Fopens AI Agent + Search from anywhere in Jarvi

Payroll managers near Leeds we spoke to in the last two years

Jarvi searches your database

  • NH

    Nina HOLT

    Payroll Lead @ Aire Valley Foods

  • OS

    Omar SAYED

    Payroll Manager @ Pennine Care Homes

  • EM

    Elena MORETTI

    Senior Payroll Specialist @ Northgate Retail

View all 14 results

Java developers in Manchester who are open to work

Jarvi searches your database

  • AN

    Adam NOVAK

    Senior Java Developer @ Irwell Systems

  • SK

    Sara KOWALSKA

    Backend Developer @ Quayside Labs

  • MB

    Marco BIANCHI

    Java Tech Lead @ Mersey Digital

View all 9 results

Account managers in Madrid who replied to us this year

Jarvi searches your database

  • EG

    Elena GARRIDO

    Key Account Manager @ Retiro Foods

  • DR

    David RUIZ

    Account Manager @ Castellana Media

  • NA

    Nina ALVES

    Account Executive @ Prado Software

View all 21 results

From job offer to shortlist

How AI candidate matching
works in Jarvi

You start from the project you already have, and Jarvi does the searching while you decide who is worth a call.

  1. 01

    Start from the job offer

    About 1 min

    Everything begins with the project you already opened for the client. If the brief came as a document or in an email, Jarvi AI can fill in the job offer fields from it.

    Payroll Manager · Calder Health

    DetailsProfilesContactsStatistics

    Job description

    Job Offer TitlePayroll Manager
    Work LocationLeeds
    Job Offer DescriptionYou will run UK payroll for 1,200 employees and lead a team of four.
    Profile DescriptionFive years or more in payroll, pensions and year-end, with some team management.

    Can you fill in the job offer fields for me?

  2. 02

    Let your whole database answer

    0 min, done by AI

    In the Profiles tab of the project, you click Search matching profiles. Jarvi reads the job offer, writes the search and looks through your whole talent pool, however long ago you met each person. The people already in the project are left out, and if nothing comes back, the search is widened once and Jarvi tells you so.

    Reset filters
    Advanced filtersSearch historySaved searchesSave search
    Payroll ManagerJob titleUK payroll, pensionsSkillsLeedsLocation
    IdentityLocationLast interaction date
    NH

    Nina HOLT

    Payroll Lead @ Aire Valley Foods

    Bradford

    Interview

    3 years ago

    OS

    Omar SAYED

    Payroll Manager @ Pennine Care Homes

    Wakefield

    Job Application

    3 years ago

    EM

    Elena MORETTI

    Senior Payroll Specialist @ Northgate Retail

    Leeds

    Phone call

    a year ago

    DK

    David KERR

    Payroll Officer @ Brightwater Group

    Harrogate

    Email received

    5 years ago

    People already in this project are left out of the results

  3. 03

    Adjust it in your own words

    Under 1 min

    The search stays in plain sentences that you can change, and you can still add the filters you know well, such as availability or the last time you spoke. A search you run every month can be saved and reopened in one click.

    Reset filters
    Advanced filtersSearch historySaved searchesSave search
    Payroll ManagerJob titleUK payroll, pensionsSkillsLeedsLocationYesOpen to work?

    Advanced search for Profiles

    Profile information

    Open to work?

    Open to work?Yes

    Interactions & activity

    Last interaction date

    Last interaction after01/01/2022

    Assigned To

    Start search
  4. 04

    Add your shortlist to the project

    About 1 min

    The closest profiles come first and the list gets looser as you scroll, so you stop when it no longer fits. You tick the people you want and click Add to project, and from there they follow your usual pipeline.

    3 items selectedAdd to project
    NH

    Nina HOLT

    Payroll Lead @ Aire Valley Foods

    OS

    Omar SAYED

    Payroll Manager @ Pennine Care Homes

    EM

    Elena MORETTI

    Senior Payroll Specialist @ Northgate Retail

    DK

    David KERR

    Payroll Officer @ Brightwater Group

    Profiles added to project

Matching and scoring

Candidate matching and AI scoring do two different jobs

Matching finds the people in your database who could fit the role, and scoring tells you how well each of them fits.

Candidate matching

Who in my database could fit this role?

Matching starts from the job offer and looks through your whole talent pool, then brings back the profiles worth a look.

AI scoring

How well does each of them fit?

Scoring then gives each of them a fit level with a short reason, so you know who to call first.

See it on a real role

Bring a role you are working on and see how matching turns it into a shortlist

In a 30-minute demo, we turn your brief into a job offer, run the matching and look at the profiles that come back together.

A typical morning

Match candidates to a job on the morning the brief arrives

Here is an example of how a new role can go from a client email to the first messages within half an hour.

  1. 9:00

    The brief arrives

    A client sends a new role by email, and you open a project for it.

  2. 9:05

    The job offer is filled

    Jarvi AI turns the brief into the job offer fields of the project.

  3. 9:06

    Matching runs

    Your database is searched and the closest profiles come back first.

  4. 9:20

    Shortlist added

    You pick the people worth calling and add them to the project.

  5. 9:30

    First messages out

    A sequence goes out by email and WhatsApp while you pick up the phone.

1200+
Agencies and recruiters
25
Countries
6M
Automated actions a year

AI candidate matching FAQ

What is AI candidate matching?

It is a way to find, for an open role, the people in your own database who could fit it. In Jarvi, the AI reads the job offer of the project, writes the search for you and brings back the closest profiles you already know, leaving out those already in the project.

Is candidate matching the same as CV screening?

They work in opposite directions. Screening sorts the applications that came in for a role. Matching starts from the role and goes looking through the profiles you already have, including people who never applied for it.

What should I expect from a candidate matching tool?

A good tool looks through every candidate you have already met, not only a list you keep on the side, and it should spare you from writing the search yourself. In Jarvi the search is written from the job offer and widens the terms, so a profile described with other words still comes up. People already on the role are left out, and once you have picked your shortlist it goes into the project in one click.

What do I need to fill in before I can use matching?

Only the job offer of the project. Matching can start as soon as it has a title, a description or a location, and the more you fill in, the better the search. If all three are empty, Jarvi tells you and offers to fill the job offer with AI from the brief you received. For the AI score to appear next to each profile, the job offer also needs a description, the profile sought and a location.

Why do some results lower down look less relevant?

That is how the search is meant to work. It ranks profiles rather than filtering them strictly, so the closest ones come first and the list gets looser as you go down. When it stops fitting, you can stop reading, and when you need a strict rule you can add an advanced filter.

Will it find candidates I have never met?

No. Matching only searches the profiles already in your Jarvi talent pool, the people you sourced, imported or interviewed over the years. Its value is to make that database easy to search again for every new role.

Does AI matching add or contact candidates on its own?

No. AI matching only suggests profiles, and every decision stays with you. Nobody is added to the project until you select them and click Add to project, and nobody receives a message until you decide to start a sequence.

Will my team manage to use it?

It starts from the project your consultants already work in, and what it asks of them is to read a list and pick names rather than build a search. In the demo, we take one of your current roles through it so you can judge for yourself.

Your next placement may already be in your database.

In a 30-minute demo, we take one of your current roles through the matching, from the brief to the shortlist.

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