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Staffing and recruiting agencies · Document intake and data extraction

Stop retyping resumes, timesheets and certifications into three systems

Staffing agencies process paper and PDFs every day: resumes in every format, weekly timesheets from clients who refuse to use the portal, forklift certifications, nursing licenses, CPR cards and site training records. Coordinators retype key details into the ATS and back office. Each retyped field is a chance for an error that shows up later on a paycheck or invoice.

How it often works today
  • Paper and emailed timesheets are keyed into the back office by hand every Monday, delaying payroll and invoicing for the week.
  • Resume parsing in the ATS misses details or misreads dates, so recruiters fix records by hand before they can search them reliably.
  • Certification and license expiry dates are tracked in spreadsheets, and lapsed credentials are found when a client audits the assignment.
  • Overtime and shift differentials are calculated from handwritten timesheets, and errors surface as pay disputes or client invoice credits.

Document processing extracts defined information, such as hours by day, certification expiry dates or work history, into the right records, with a person checking anything that affects pay, billing or compliance. The goal is fewer keystrokes and fewer payroll corrections, not removing people from review.

The improved workflow

Start with the costliest document

For most temp desks that is timesheets, since errors reach both payroll and invoices. Direct hire desks may start with resumes or credential records.

Extract into structured fields

An approved tool reads the timesheet or certificate and fills fields such as worker, client, dates, regular and overtime hours, or credential type and expiry.

Flag what looks wrong

Entries that exceed scheduled hours, miss a supervisor signature, fall outside the assignment dates or show unclear handwriting are flagged for a coordinator.

Coordinator reviews and approves

A payroll or onboarding coordinator checks flagged items against the source and approves the batch before it reaches payroll or the ATS.

Track expiring credentials

Extracted expiry dates create reminders for the worker and recruiter well before a credential lapses, so assignments are not interrupted.

How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.

What we would measure

Coordinator hours on timesheet entry per week

This is the direct labor saved and is easy to measure before and after.

Payroll corrections and invoice credits

Fewer errors protect worker trust and client relationships, and reduce rework.

Assignments interrupted by lapsed credentials

Should approach zero if expiry tracking works.

Where people stay in control

  • A coordinator approves every timesheet batch before payroll. Extracted hours are never paid or billed without human review of flagged items.
  • Identity documents, licenses and any medical information are processed only in approved systems with restricted access.
  • Client-required credential checks, such as primary source verification of licenses, are completed by trained staff, not inferred from a scanned card.
Example

Illustrative example: Monday timesheets for a light industrial branch

For example, a branch receives 180 weekly timesheets, 60 of them as photos or scans from two clients without portal access. Extraction fills hours for all 60, and flags nine: four over scheduled hours, three missing signatures and two unreadable. The coordinator resolves them by mid-morning instead of late afternoon, and payroll runs on time. This is illustrative, and accuracy on handwritten sheets would be measured before relying on it.

Tools typically involved

BullhornTempWorksAviontéTextkernelMicrosoft Power AutomateAdobe Acrobat

What the first 30 days look like

In the first 30 days we would collect a month of timesheets and credential records, time how long entry takes, and count payroll corrections and invoice credits. Then we would pick one document type and test extraction on real samples with your coordinators.

Common questions

Wouldn't moving clients to an electronic timesheet portal be better?

Usually, yes. Where clients will use a portal or mobile time clock, that is the better fix and often the honest first recommendation. Document processing helps with the clients and sites that will not, or during a transition. We would start by asking which clients could move.

Our ATS already parses resumes. Why change anything?

You may not need to. Built-in parsing, often powered by vendors such as Textkernel, works well for many resumes. The gaps tend to be unusual formats and specific fields your recruiters care about. We would check parsing quality on a sample before suggesting any change.

How accurate is extraction from handwritten timesheets?

Less accurate than typed ones, and it varies by handwriting and scan quality. That is why flagged entries go to a coordinator and accuracy is measured during the pilot. If handwritten sheets from a particular client stay unreliable, the right answer may be to keep them manual.

The business case

Does it pay for itself?

Illustrative defaults for a staffing agency. Replace them with your numbers.

What this workflow costs today

a month in staff time, before any lost sales

Monthly fee + assumed tools +
Break-even: new clients a month (at first-year value)
Or: staff hours recovered and redeployed
Break-even additional revenue
Value of +1 point of win rate
First 90 days, service fee

Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.

Next step

Bring one expensive workflow. Leave with a clear next step.

In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.

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