Your problemsTime savings

Manual re-entry & data entry errors

Every piece of hand-typed data is a potential error — and wasted time.

100×
more errors in manual entry than with automatic extraction (Gartner)
The problem, in detail

Manual data entry is one of the most costly, least rewarding tasks a team can do. Retyping a contract number from an email into a system. Re-keying an address from a scan. Copy-pasting data between two files. Every entry risks an error. Every error costs time to fix.

1–4%

error rate in manual data entry under normal working conditions (fatigue, pressure, complex documents)

Source : Data quality research
18–40%

probability of error when entering data manually into a spreadsheet

Source : Human factors research
$14M/yr

average loss per organization due to manual data-entry errors

Source : Gartner
99.99%

accuracy with automatic extraction, versus 96–99% for manual entry

Source : Technology comparison

What it actually costs

The error you don't see

A digit transposed in a contract number. A mistyped amount. A client name with a typo. These errors often go unnoticed — until they cause a real problem: wrong filing, a payment sent to the wrong account, a case that can't be found.

The time it takes to fix

Correcting a data-entry error costs on average ten times more time than entering it correctly in the first place. And once the error has spread across multiple systems, the fix can take hours.

The total organizational cost

Gartner estimates the average organization loses $14 million a year to data errors — a large share of it from manual entry. 25% of organizations lose more than $5 million annually.

Does this sound familiar?

The signs that this problem
is active in your business

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Contract numbers, client names, and amounts manually retyped from one system to another

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Recurring errors discovered during audits or checks

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Time spent double-checking entries before they're approved

!

Scanned documents whose information must be retyped by hand

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Duplicate or inconsistent client data between email and CRM

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Employees 'cleaning up' spreadsheets instead of working case files

The Aryamy answer · AI agents, not a rigid script

Aryamy reads documents and extracts data without you touching a single field.

Aryamy reads every incoming document — invoice, contract, certificate, form — and automatically extracts the key information: name, number, date, amount, address. That data is injected directly into the right case, with no re-typing and no transcription errors.

Automatic local document reading

Aryamy reads PDFs, images, and scans directly on your own infrastructure. No document is ever sent to an external server. Reading takes under 3 seconds per document.

Key-field extraction by document type

For each document type, Aryamy knows which fields to extract: policy number on a certificate, account number on bank details, amount and date on an invoice, first and last name on an ID.

Direct injection into the right case

Extracted data automatically populates the relevant client case. No copy-pasting, no re-entry, no transcription risk.

Quality control before validation

If a field is ambiguous or a document's quality score is too low, Aryamy flags it and asks for human validation before saving. Full safety, always.

Observed results

What you gain
from the first week

−99%
data-entry errors on extracted data
< 3 sec
to read and extract data from a document
0
manual re-entry on incoming documents
See automatic extraction in actionBook the free 30-min audit
Real example · Time savings

Aryamy reads documents and extracts data without you touching a single field.

1Automatic local document reading
2Key-field extraction by document type
3Direct injection into the right case
4Quality control before validation
−99% data-entry errors on extracted data · < 3 sec to read and extract data from a document · 0 manual re-entry on incoming documents
Manual re-entry & data entry errors | Aryamy