A recruiter can rebuild a candidate's story from scattered notes, or move the search forward. Not both at the same time.
Between the ATS, the inbox, three job boards, and a scheduling thread, the real state of every role lives in your recruiters' heads. So when a client asks where you are on the search, someone stops sourcing to go find out, and time-to-shortlist slips again.
Role criteria, hiring-manager context, approval rules, sourcing strategy, and candidate-screening logic
Month-to-month implementation, cancel anytime
Recruitment agencies, staffing firms, internal talent teams, ops, sales, and leadership
Where the search actually jams
The brief changes after sourcing has started
A recruiter spends a week sourcing against the must-haves from the intake call. Then the hiring manager mentions the budget was never signed off, or the "nice to have" was really a deal-breaker. The shortlist gets set aside and sourcing starts over, a week gone.
Nobody is sure where the candidate actually is
The resume sits in the ATS, the screening notes in someone's inbox, the availability in a calendar reply, the interview feedback in a chat message. Before anyone can say whether a candidate is stuck, a recruiter has to open four places and piece it together.
The client update is a half-day of cleanup
Pipeline health, who has been submitted, which interviews slipped, what is blocked. It is real work, and it lives in activity data that gets rebuilt by hand before every catch-up call.
So the instinct is to buy another sourcing tool. That is usually the wrong first move, because the problem was never finding candidates. It was keeping the story of each role in one place your team can trust.
What a month of fixing looks like
Job intake and role calibration
A role comes in and a recruiter starts sourcing from whatever the hiring-manager call left behind: partial must-haves, a compensation range nobody confirmed, an approval step that surfaces two weeks later. Half the search goes to re-checking what the role even is.
Intake becomes one packet that shows what is clear, what is still missing, and who owns the decision, before sourcing starts. Your recruiter opens a role knowing the criteria hold and the budget is signed off.
Candidate screening and shortlist review
To build a shortlist, a recruiter pulls resumes from the ATS, screening notes from the inbox, availability from a calendar reply, and stitches the rationale together from memory. Time-to-shortlist depends on how much of it one person can hold in their head.
Screening runs off one queue where each candidate's facts, fit signals, and source links sit together. The shortlist arrives with the evidence attached, and the client-facing note is most of the way written before anyone opens a doc.
Candidate redeployment
A role closes and strong candidates go quiet in the database. Next time a similar role opens, sourcing starts from zero, even though three good people are already on file with availability that has gone stale.
You get a redeployment queue that surfaces the known candidates worth re-engaging for a new role, with the context that supports the match. Availability stays current instead of aging out.
How we work
Map the search the way your team runs it
We follow where role context, candidate records, feedback, and client updates start, and where they get redone by hand.
Decide who checks what before it goes out
We agree the must-have criteria, the candidate-data permissions, and what counts as shortlist-ready, with your recruiters.
Build the queues and dashboards your recruiters open every day
We ship the intake packet, the screening queue, the client update, and the AI-assisted steps that fit daily recruiting work.
Tune it under live roles, then take the next one
We tune it with the recruiters, sourcers, and account managers who use it, then move to the next workflow slowing you down.
Where AI fits
Inside these workflows, AI does the reading and the first draft. It turns intake notes and screening calls into structured review notes, pulls skills and availability out of resumes into a queue, flags candidates whose feedback has gone missing, and drafts the client update from the pipeline. It works from criteria your team has approved and keeps the source links, so a recruiter can trace any claim back to where it came from. Recruiters decide who gets shortlisted and what a client hears. AI never makes that call.
See how each one is built
If you want to see how a workflow comes together before you talk to us, these six guides walk through the ones above, one at a time.
How to Build a Job Intake and Role Calibration Workflow
How to Build a Candidate Screening and Shortlist Review Workflow
How to Build Interview Scheduling and Feedback Workflows That Keep Hiring Moving
How to Build Candidate Redeployment Workflows for Staffing Teams
How to Build Client Status Reporting Workflows for Recruitment and Staffing
How to Build Recruiter Productivity Dashboards Around Real Workflow Data
How it works in practice
Recruiting data lives across your ATS, CRM, calendars, job boards, email, and spreadsheets. The hard part is rarely one app; it is connecting the records, permissions, and ownership behind intake, sourcing, screening, scheduling, and client updates. The systems we usually connect:
Candidate data is handled with the consent, access, and retention rules it arrived with, and the criteria that decide a shortlist are set and reviewed by your recruiters, not by a model.
It is month-to-month, starting from $4,000/month, one workflow at a time, cancel anytime. We fix the workflow slowing your team most, ship something they actually use, then move to the next one.
Common questions
What recruitment and staffing workflows can Ubisar improve first?+
Usually the one your recruiters dread most: job intake and role calibration, candidate screening and shortlist review, or the client status update. If you are not sure, we start where time-to-shortlist hurts worst.
Is this an AI recruiter product?+
No. We are vendor-neutral and we do not replace your recruiters. We connect the workflow, data, and tools around how your team already hires, and your recruiters keep every call on candidates, communication, and who gets placed.
Where does AI help without weakening candidate trust?+
On the summarizing and drafting your recruiters do between calls. It turns intake notes and a screening call into a structured review note, pulls skills and availability off a resume into the shortlist queue, flags a candidate whose interview feedback has gone missing, and drafts the client update from the pipeline. It works from the criteria your recruiters approve and keeps the source links, so a person stands behind every candidate call.
Tell us the search your team keeps rebuilding by hand
Point us at the workflow where intake, screening, scheduling, redeployment, or the client update still runs on manual cleanup. We will tell you what the first month would fix. We reply within one business day, no sales ambush.
Rather score the workflow yourself first? Run the workflow calculator.