Turn routine documents into reviewable records
A fictional operations team extracts reference fields from service documents. Repeated extraction and field checks absorb time, while incomplete and conflicting documents need human judgement.
- Proposed workflow
- Read allowed fields · Check the format · Flag exceptions · Approve the record
- Human control
- A reviewer checks exceptions and approves updates to the destination system.
Human effort per month
Hours · review included36% less human effort under these assumptions. This is not cash savings.
Workload mix
- Standard format70%
- Missing fields20%
- Conflicting fields10%
Assumed distribution, not measured activity.
Inspect the data, calculation and pilot decision
| Input or calculated measure | Illustrative value |
|---|---|
| Monthly in-scope volume | 900 documents |
| Before: human minutes per item | 10 |
| Proposed: human minutes per item | 6 |
| Additional operating hours per month | 6 |
| Baseline human hours per month | 150 |
| Proposed human hours per month | 96 |
| Net capacity change per month | 54 hours |
| Illustrative pilot window | 5 weeks; not a delivery commitment |
| Assumed mix: Standard format | 630 items |
| Assumed mix: Missing fields | 180 items |
| Assumed mix: Conflicting fields | 90 items |
Calculation: 900 × 10 ÷ 60 = 150 baseline hours. Proposed: 900 × 6 ÷ 60 + 6 operating hours = 96 hours.
Pilot decision: Do records meet field-level checks, including exception handling and correction effort?
Limit: Document complexity changes the average. Compare like-for-like inputs before drawing a conclusion.
Fictional worked example. Future human handling includes review, exceptions and corrections; operating hours are additional. Compare the same workload before drawing a conclusion.