Business Process Automation
Eliminate manual data entry between systems
Manual data entry is the work of reading one screen and typing into another. Lingows AI removes it by capturing data where it originates, validating it against defined rules, and writing it into the destination system through an API, with a reconciliation record proving what moved and when.
01What this is
Rekeying is expensive twice: once for the time and once for the errors. Error rates in manual transcription are consistently nonzero, and the downstream cost of a wrong field usually exceeds the entry cost.
The correct fix is to capture data once at its source. Where a source system has no API, structured export and import paths are used, with reconciliation on both ends.
02Who this suits
Disconnected systems
Businesses running platforms that do not talk to each other.
Order and record entry
Teams transcribing emailed or faxed orders into an ERP.
Spreadsheet bridges
Operations where a spreadsheet is the integration between two systems.
03How it works
- Step 01
Capture at the source
Take the data from the original document, message, or form rather than from a person's retyping.
- Step 02
Validate before writing
Format, required fields, and cross reference checks run first.
- Step 03
Reconcile after writing
Compare written records against the source set and report differences.
04Effort and timeline
| Item | Typical |
|---|---|
| Typical build | 4 to 8 weeks per pair of systems |
| Baseline | Volume and error rate measured first |
| Write path | API preferred, structured import otherwise |
| Audit | Source to destination record retained |
05Common failure modes
No reconciliation
Writes that are never checked drift silently until someone finds a gap during a close.
Copying bad data faster
If the source is wrong, automation propagates the error at higher speed.
Ignoring the exception path
Records that fail validation need an owner and a queue, not a log line.
FAQQuestions
Common questions
What if a system has no API?
Structured export and import is the usual path, scheduled and reconciled on both ends. Screen level automation is treated as a last resort because it breaks on interface changes.
How is the benefit measured?
Against a baseline captured before the build: items per period, minutes per item, and observed error rate, then remeasured after cutover.
Last reviewed 2026-08-16
UPWhere this sits
Data Entry Elimination is part of Business Process Automation. The pillar page covers scope, delivery model, and the other capabilities in the set.
- Document Processing
AI document processing turns invoices, forms, contracts, and scans into validated structured records. Lingows AI builds pipelines that classify each incoming document, extract fields against a schema written for that document type, validate the result, and route low confidence extractions to a human review queue.
- Approval Workflows
An automated approval workflow routes a request to the right approver, gives that person a summary and the supporting evidence, escalates when a decision stalls, and records who approved what and when. Lingows AI builds approval routing on written policy rules rather than on model judgment.
- Reporting Automation
Reporting automation replaces the weekly ritual of rebuilding the same report by hand. Lingows AI pulls figures from source systems on a schedule, runs consistency checks against prior periods, drafts narrative commentary that cites the numbers it references, and delivers the result for human review before distribution.
Talk through data entry elimination
Bring the process, the volume, and the systems it touches. Lingows AI will scope the build, the effort range, and what running it costs.