A mid-sized company hired an operations coordinator through Paycom and rejected three other qualified applicants who were at the offer stage. Each rejection includes a note inviting them to reapply later if their situation changes. Neither applicant does, and neither gets checked again unless they take that step themselves.
A similar coordinator role opens three months later on a different team. Paycom does not check those three silver medalists against it. A recruiter would have to remember one of them by name and search the candidate database directly, or they simply never come up again.
This expert guide explains what tools Paycom provides for searching candidates already in the system. It also covers their limitations and how an AI integration addresses those to automate rediscovery, sourcing, and scoring past applicants.
What Is Candidate Rediscovery?
Candidate rediscovery sources and matches candidates in your Paycom Talent Acquisition database to newly opened roles. This process includes applicants from closed jobs, those in talent pools, and anyone who partially completed a hiring process.
This turns your application history into a valuable sourcing channel by automatically checking past candidates against new openings. Unlike many tools that require manual searches, rediscovery ensures that no potential talent is missed whenever a role opens up.
Does Paycom Provide Talent Rediscovery?
No, Paycom doesn't provide a talent rediscovery feature or any way to automatically source and rank existing qualified candidates. Its talent acquisition suite includes a searchable candidate database that a recruiter can query by degree, zip code, skill set, and employer.
Plus, a Candidate Tracker tool for moving passive candidates into a tracked pool. A Save for Later option lets a recruiter flag one specific candidate to reconsider without formally rejecting them.
All three depend on a recruiter typing in search terms, building a pool, or flagging one candidate at a time. None of them checks a closed job's full applicant database against a role that just opened, and none of them operates without someone starting the process manually.
How to Rediscover Candidates in Paycom
Since Paycom has no built-in way to automatically source, score, or surface past applicants across open jobs, its users connect Skima AI to scan the database and rank matching profiles every time a role opens. Below is a 5-step workflow, from connecting your account to a finished shortlist:
Step 1: Connect Your Paycom Account With Skima AI
Obtain OAuth 2.0 tokens or API keys with the required scopes through Paycom's Direct Data Exchange APIs. This connection uses Paycom's own APIs directly, with no middleware required. Skima AI needs both read and write access to function.
- Read access: candidate profiles, job requisitions, and resume attachments
- Write access: profile notes and candidate tags
- Pulled data: candidate contact details, resumes, requisition details, and profile status for scoring context
- Event notifications: profile creation and updates, and attachment uploads
If webhooks are not enabled, Skima AI falls back to safe polling every 10 to 15 minutes.
Step 2: Configure Fields and Confirm the Connection
Set up the fields Skima AI writes to, or authorize Skima AI to provision them during setup. The Skima AI match score, a number from 0 to 100, and reasons, a text block listing reasons for the fit, posted as profile notes on the candidate record. A Skima Screened tag gets added at the candidate level, so screened applicants stay filterable inside Paycom.
Optional hiring manager feedback and comments capture responses once a shortlist goes out, also logged as profile notes. Before rolling this out further, test the connection on a sample requisition. Upload a resume, confirm the Match Score and Reasons appear, submit hiring manager feedback, and verify the log entry before applying it to live roles.
Step 3: Launch Talent Rediscovery Against a Live Requisition
Open the job inside Skima AI, from the Jobs list or from within the job itself. Click the three-dot Actions menu and select Rediscover Candidates. A modal lets you scope the scan two ways. Limit it to a saved candidate segment, or leave it open to every synced Paycom record.
Set the Candidate Created Date range next: All time, Last 6 months, Last 1 year, or a custom window, then click Apply. Skima AI scans the selected pool against this requisition's specific requirements and sends a notification once the scan finishes. Refresh the page to see the results.
Step 4: Review and Filter the Rediscovered Matches
Open the View Candidates tab to see a ranked list pulled from across your entire application history. Each candidate carries an AI match score and reason bullets explaining the fit. Filter by Industry, Work Mode, Experience Level, Notice Period, Location, and Salary Range.
Start broad and tighten the filters gradually. Narrowing too fast hides good candidates, including people who never reapplied on their own but line up well against this requisition.
Step 5: Shortlist and Sync Feedback Back to Paycom
Build your shortlist from the ranked matches Skima AI surfaced. Generate a secure, no-login link and send it to the hiring manager. They can click a thumbs up, thumbs down, or maybe on each candidate, with an optional comment.
Skima AI writes that decision back into Paycom through the same API connection for the audit trail, logging it as a profile note. The feedback stays visible on the record without anyone opening a second tool.
What If Your Paycom Database Is Messy or Duplicated
Paycom's single-database design reduces duplicate data entry between payroll, HR, and hiring once someone is hired. This addresses a different issue than candidate duplicates. It ensures that one employee's information remains consistent across systems after they join.
However, it does not address the situation where two separate applications from the same person appear in the candidate database before that point.
This gap often occurs in high-volume hiring. An applicant who reapplies for a similar role the following year, or one who submits through two different channels, ends up with two separate records that Paycom does not automatically connect. A recruiter only notices this by recognizing a name while reviewing a new application.
Skima AI treats this as ongoing maintenance rather than a one-time project. It first matches on email, phone, or LinkedIn URL. It also checks matching name, location, and company together as a backup signal.
A field comparison modal appears before any records merge, highlighting exactly what differs between the two records. Missing details are filled in through contextual profile enrichment instead of remaining incomplete. A dedicated Duplicates tab logs every resolved case for later audit, divided into In Database, From Uploads, and Resolved sub-tabs.
5 Benefits of Candidate Rediscovery with Skima AI in Paycom
Once Skima AI is connected, a Paycom team gets 5 clear benefits from an application history that was already there:
- Faster Time-to-Screen: Rediscovered candidates arrive already scored, so recruiters skip the raw resume pile entirely. In a documented 30-day Paycom pilot, a team reduced time-to-screen by 58%.
- More Interviews From the Same Shortlist: The same pilot saw interviews from the top shortlist double compared to the prior process.
- Explainable Match Scores With an Audit Trail: Every rediscovered match carries reason bullets tied to skills and experience, logged as a profile note alongside a Skima Screened tag for instant filtering inside Paycom.
- Hiring Manager Engagement Without a New Login: The shortlist feedback loop keeps managers responding through a link, no Paycom credentials required. Manager satisfaction rose 24 points on NPS in that same pilot.
- Lower Cost Per Hire on Repeat Roles: Rediscovered candidates were already sourced once, so filling a role you've hired for before needs zero new job board spend.
5 Best Practices to Rediscover Talent in Paycom
None of these benefits happen automatically inside Paycom. The 5 practices below cover search timing, data hygiene, and fitting rediscovery around high-turnover, multi-location hiring:
- Check the Candidate Database and Save for Later Flags First: The searchable candidate database and Save for Later flags already cover people a recruiter has actively searched for or held onto. Use Skima AI's Talent Rediscovery to reach the much larger set of past applicants that neither one checks again.
- Turn On Automatic Rediscovery for Every New Requisition: Skima AI's setting under Preferences and General starts a database scan the instant a new job is created. Enable it so no requisition slips through without a first look at your existing applicant history.
- Use Reverse Search for Candidates Who Never Reapplied on Their Own: Most rejected candidates never take Paycom up on its invitation to reapply. Reverse Search starts from one profile and returns every open job they match, ranked by score, without waiting for that person to act first.
- Segment Scans With the Candidate Created Date Filter: Choose a 6-month or 1-year window when a role needs someone who was recently active. Widen to All Time for a niche or hard-to-fill role where the applicant pool has always been thin.
- Review the Duplicates Tab After Every High-Volume Hiring Push: High-turnover and high-volume hiring generates duplicate applications quickly, especially when the same person reapplies months later. Checking Skima AI's Duplicates tab right after each push keeps that from piling into a backlog.
Is Candidate Rediscovery Worth It for Your Recruitment Team?
A company that has hired repeatedly through Paycom for a year or more builds up an application history that its searchable candidate database only partly covers. This backlog holds significant value.
A candidate who was a near miss for one role often fits a similar opening that comes up later. However, nothing connects those two facts unless a recruiter searches for that person directly.
Setting up Skima AI requires some technical coordination. Someone needs to obtain the right OAuth 2.0 credentials through Paycom's Direct Data Exchange APIs. They must also map the fields Skima AI writes to and test the connection on a sample requisition before going live. None of this is unusual for a Paycom integration, but it is not a same-day setup either.
For a small business with only a handful of open roles a year, that backlog remains thin, making the setup effort harder to justify. In contrast, for a larger employer hiring repeatedly across teams or locations, the candidate history building up behind each closed requisition is exactly what rediscovery is designed to put back to work.
Pilot Candidate Rediscovery in Paycom Now
For employers hiring repeatedly on Paycom, a pilot with Skima AI can deliver a high ROI. Don't switch every location over at once. Start with three to five live requisitions, ideally roles your company has filled more than once before.
Connect Skima AI, configure the fields, and launch Talent Rediscovery on those roles. Skima AI's own Paycom integration structures this as a 30-day pilot, with checkpoints at day 15 and day 30.
Track time-to-screen, the number of rediscovered candidates who reach an interview, and the hiring manager's response. Based on a documented 30-day Paycom pilot, you can expect about a 58% drop in time-to-screen and double the interviews from your top shortlist. From there, expanding to more requisitions will be a decision supported by your own data.
Frequently Asked Questions
1. Does Paycom have a built-in candidate rediscovery feature?
No, Paycom does not have a built-in candidate rediscovery feature. It offers a searchable candidate database, a Candidate Tracker tool for building a candidate pool, and a Save for Later option for holding onto one candidate at a time. None of these scan closed requisitions automatically when a new role opens.
2. How to conduct candidate rediscovery in Paycom?
To conduct candidate rediscovery in Paycom, connect Skima AI to Paycom through OAuth 2.0 tokens from Paycom's Direct Data Exchange APIs, configure the fields Skima AI writes to, then launch Talent Rediscovery on a live requisition. Skima AI scans your application history, ranks candidates, and syncs hiring manager feedback back automatically.
3. What are the benefits of Paycom candidate rediscovery?
Rediscovered candidates arrive pre-scored, reducing screening time by over 58% in a documented 30-day pilot and doubling interviews from the top shortlist. Matches carry explainable reasons, a Skima Screened tag for filtering, and hiring manager feedback without a new login.
4. Is Skima AI safe to integrate with Paycom for talent rediscovery?
Yes, Skima AI encrypts candidate data in transit and at rest, follows SOC 2 practices and a signed Data Processing Agreement, and logs every AI decision and manager response for audit. Scores rely on resume-based evidence only, with no automatic rejections.
5. Is candidate rediscovery useful for Paycom's typical customers?
Yes, especially for employers with high-turnover or multi-location hiring that refill similar roles over time. The value grows the more often the same kinds of positions, and sometimes the same candidates, come back into play.
