Coordinator hours on timesheet entry per week
This is the direct labor saved and is easy to measure before and after.
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.
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.
For most temp desks that is timesheets, since errors reach both payroll and invoices. Direct hire desks may start with resumes or credential records.
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.
Entries that exceed scheduled hours, miss a supervisor signature, fall outside the assignment dates or show unclear handwriting are flagged for a coordinator.
A payroll or onboarding coordinator checks flagged items against the source and approves the batch before it reaches payroll or the ATS.
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.
This is the direct labor saved and is easy to measure before and after.
Fewer errors protect worker trust and client relationships, and reduce rework.
Should approach zero if expiry tracking works.
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.
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.
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.
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.
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.
Illustrative defaults for a staffing agency. Replace them with your numbers.
a month in staff time, before any lost sales
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.
Document intake and data extraction: full guide
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.
30 minutes with Phil or Martin. No technical brief, no pitch deck. Phil or Martin replies personally, usually within one business day.