At a glance
- An any-format intake workflow normalizes email, PDF, spreadsheet, and handwritten timesheets into one record before anything is validated.
- A field-by-field validation checklist below sets, for worker ID, week ending, hours by pay code, approver, and PO/cost code, when to proceed, when to ask, and when to escalate.
- Matching hours to a bill rate means matching the timesheet to the rate card and purchase order tied to the assignment, not to the timesheet alone.
- Treat handwritten timesheets as lower-confidence input by default, and route anything below your own confidence threshold to a person rather than auto-accepting a guess.
- Wage-hour and overtime classification questions go to compliance or counsel; this article covers data validation and routing, not what any rule requires.
Can AI read handwritten timesheets reliably?
Not reliably enough to auto-accept every field without a check. Handwriting varies by person, by pen, and by how rushed the entry was. Optical character recognition (OCR) — the technology that reads text from an image — will extract some handwritten timesheets cleanly and misread others, sometimes with a result that looks plausible but is wrong. Treating every handwritten field as lower-confidence than a typed or structured one, by default, is the safer starting assumption.
We recommend scoring every extracted field with a confidence level, and setting a threshold below which the system doesn't guess. Below that threshold, it routes the field to a person with the original image attached, rather than guessing a value. Before relying on the extraction at volume, test it against a sample of your own handwritten timesheets a person already read correctly, and measure how often the system's read matches, field by field, not just overall.
- Design intake to accept all four formats: typed email text, a PDF timesheet attachment, a spreadsheet export from a client's own system, and a scanned or photographed handwritten timesheet, in any mix from the same client in the same week.
- Why one extraction approach doesn't cover all four: a typed PDF or spreadsheet is close to structured data already; a handwritten scan needs the lowest-confidence handling of the set. Design the intake path to accept all four from the same client in the same week, rather than assuming one format per client.
The any-format timesheet intake workflow
Build one intake path that every timesheet goes through, whatever format it arrived in, so the validation rules downstream see one normalized record instead of four different shapes.
- Capture, whatever the channel
Accept timesheets from email attachments, a client or VMS portal, and scanned paper, into one intake queue rather than separate handling per client.
- Classify the format
Tag each submission as typed text, structured file (PDF form, spreadsheet), or handwritten/scanned, so the right extraction method runs on it.
- Extract fields with a confidence score
Pull worker ID, week-ending date, hours by pay code, approver, and PO/cost code, with a confidence score per field, not just per document.
- Normalize to one record
Convert every date, name, and code to the same internal format before any validation rule runs, so a rule never has to account for format differences.
- Run the field validation checklist
Check each field against the rule below, and route anything that doesn't pass into a named exception queue instead of toward an invoice.
The checklist below is the field-by-field standard. It says what each field needs to look like to proceed, when to hold it for a person to look at (abstain), when to ask the submitter or approver for a corrected or re-confirmed timesheet (ask), and when to route it to the back office's named exception owner (escalate) instead of either. Asking never changes the record itself: any resulting change to submitted hours is made and logged by payroll staff.
| Field | Valid when | Abstain — hold for a person | Ask — send back for a fix | Escalate — route to the exception owner |
|---|---|---|---|---|
| Worker ID | Matches a worker on the week's assignment roster | Missing or illegible | Present but doesn't match the roster exactly (for example, transposed digits) | Matches a different client's assignment than the one being billed |
| Week-ending date | Falls on the agreed cycle's single ending date | Missing or unreadable | Present but outside the current pay period by one cycle | Repeats a week already invoiced for this worker |
| Hours by pay code | Pay-code lines sum to the timesheet total | Hours illegible, or a pay code field is blank | Total doesn't match the approver's separately recorded total | Uses a pay code not on this client's or firm's defined list for the assignment |
| Approver | A named approver recognized for this assignment confirms the timesheet | Signature or confirmation missing or unreadable | Approver named but not on the client's authorized-approver list | No approver responds after a set follow-up period |
| PO / cost code | Matches an open PO or cost code on file for the assignment | Missing or illegible | Present in an unexpected format — confirm the code with the submitter before matching | Doesn't match the rate card or assignment on file, or is closed, expired, or already at its authorized limit |
How do you match timesheet hours to bill rates?
Match the timesheet to the assignment first, and let the assignment carry the rate. We recommend treating the rate card tied to the assignment as the only rate source, even when a timesheet shows a rate.
Bullhorn's own entity model, for example, treats Candidate, ClientContact, JobOrder, and Placement as example entities[1], and separately names rate-card fields on two other entities: "PlacementRateCard's placementRateCardLineGroup and placementRateCardLine & JobOrderRateCard's jobOrderRateCardLineGroup and jobOrderRateCardLine fields"[1].
A billing record, in Bullhorn's model, is its own entity too: BillableCharge is listed among the entity types files can attach to, alongside JobOrder and Placement[1]. We recommend connecting worker, assignment, week, rate card, and PO or cost code explicitly when matching, rather than assuming one implies the others.
- Worker + assignment identifies the placement or job order, and therefore the rate card to use.
- Week-ending date selects the rate-card version in effect for that week, not just any version on file.
- PO / cost code on the timesheet should match the one tied to the same assignment; a mismatch is a validation failure, not an automatic override of either value.
What should trigger human review before invoicing?
Route a timesheet to a person when the system can't confirm a field with confidence, not only when a field is outright missing. A timecard approval step already exists in systems such as TempWorks.
It describes its own timecard approval as one where [2] "the timecard approver can review, edit, and submit TimeClock timecards to TempWorks for payroll processing." The same timecards, it says, are [2] "easily reviewed, edited, and submitted for payroll processing and client invoicing." Automating intake and validation adds triggers in front of that step; it doesn't replace it.
These triggers run during intake, before an approver sees the timesheet — an earlier check than reconciling an approved timesheet against a VMS record already in the billing system.
| Trigger | Where it routes |
|---|---|
| Any required field extracted below your confidence threshold | Back to the original document, for a person to read the field directly |
| Rate or PO/cost code doesn't match the assignment on file | To the back-office owner for that client, to confirm the rate card or PO before billing |
| Hours materially different from this worker's recent submissions on the same assignment | To the approver, to confirm before the hours are invoiced |
| Duplicate submission (same worker, same week, already on file) | Held, with both submissions flagged, until one is confirmed as the correct one |
| Submission arrives after the scheduled invoice run | To the next scheduled run, or a named manual exception if the client needs same-cycle billing |
How fast can a staffing firm invoice after approval?
Same-day invoicing after approval is a question of how much validation work is still left to do once the approver signs off, not a fixed speed any system delivers. If worker, hours, rate, and PO are already matched and checked before the approver sees the timesheet, approval triggers a formatting and sending step. That step assembles the invoice from data already confirmed, rather than a new round of data entry and checking.
We recommend measuring your own baseline before setting a target: the hours or days between approval and a sent invoice today, and how much of that gap is genuine validation work versus simply assembling and transmitting the invoice. Shrinking the second part is a software and process change; shrinking the first means the validation rules above need to run earlier, before approval, not after it.
Where to start: a first scoped workflow
Prove the intake and validation workflow on one client program before extending it, so the first pass tests the rules, not your knowledge of every client's format.
- Pick one client and format mix
Choose a program with a timesheet volume worth automating and a format mix (typed, PDF, handwritten) you understand well.
- Build the hard checks first
Start with fields that have a single correct answer — worker ID, week-ending date, PO/cost code match — before the softer, judgment-based triggers.
- Replay two or three closed billing cycles
Run the intake and validation workflow against timesheets already invoiced by hand, and compare: does it catch everything your team caught, and nothing it shouldn't?
- Set your own confidence and tolerance thresholds
Agree threshold values with billing, payroll, and the account team; don't borrow a number from a vendor's marketing page.
- Extend one client at a time
Add the next program only once exception volume and routing on the first one are stable and understood.
When this doesn't apply
- A single low-volume client with one consistent, typed format may be faster to review by hand than to automate.
- The client's own portal or VMS already delivers structured, pre-validated timesheet data — the intake problem this workflow solves may not exist for that client.
- Rate cards or PO data aren't reliably available to match against — fix that data gap before automating the match.
- Your payroll and billing teams haven't agreed who owns which exception type yet; agree that first, or the workflow just moves the backlog instead of clearing it.
Frequently asked questions
Can AI read handwritten timesheets reliably?
Not reliably enough to auto-accept every field. Handwriting quality varies by person and entry, so some timesheets read cleanly and others produce a plausible but wrong value. Score each extracted field for confidence, route low-confidence fields to a person with the original image, and test results against timesheets a person already verified before trusting the system at volume.
How do you match timesheet hours to bill rates?
Match the timesheet to the assignment, and let the assignment carry the rate. Worker plus assignment identifies the placement or job order and its rate card; the week-ending date selects the rate-card version in effect that week; and the PO or cost code on the timesheet should agree with the one on file for that same assignment.
What should trigger human review before invoicing?
A field below your confidence threshold routes back to the document for a person to read. A rate or PO/cost code mismatch goes to the back-office owner, and hours materially different from recent submissions go to the approver. A duplicate submission is held until confirmed, and a late submission waits for the next scheduled run or a manual exception.
How fast can a staffing firm invoice after approval?
As fast as the formatting and sending step takes, once worker, hours, rate, and PO are already matched and checked before the approver signs off. The speed depends on how much validation work is still happening after approval rather than before it; measure your own gap between approval and a sent invoice before setting a target.
What accuracy should you require from timesheet extraction?
Set a threshold per field based on what it drives, not one blanket number. We recommend weighting worker ID, hours by pay code, and PO highest, since they flow straight into billing. Then measure field-level agreement against timesheets a person already verified, and keep measuring after go-live rather than treating one test as final.
Related reading
- Document review with human approval covers the same extract-compare-abstain pattern used here for low-confidence timesheet fields, applied to contracts and policies.
- Financial reconciliation automation covers matching and exception handling once the validated timesheet becomes a billed and paid transaction.
- Legacy finance workflow automation covers connecting a workflow like this one to an older ATS, payroll, or accounting system without a full migration.
- Handling missing data in document automation goes deeper on abstain-versus-escalate decision logic in general, beyond timesheets.
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