For finance teams and accounting firms

AI-assisted document preparation for accounting workflows

For finance teams taking in tax invoices and bills every day, still keying them into the accounting system one at a time.

The system prepares document data while keeping your finance team in control of the review before it reaches existing accounting software.
Automated reading of tax invoices and bills
What finance teams actually deal with

Bottlenecks that may affect the close

The close waits for data entry to finish

As long as documents remain unkeyed the numbers are not final, so the close always bunches up in the first days of the month.

Typos surface during review, not before

A mistyped invoice number, tax ID, or VAT amount usually surfaces at reconciliation or audit, when fixing it costs far more.

Documents arrive in too many formats to standardise

Paper, scans, phone photos, and some handwritten — which is exactly what rigid rule-based automation cannot handle.

Only a couple of people know the process

When the main person is away or leaves, the queue stops — the knowledge lives in a person, not in the system.

What we put in place

Works alongside your existing accounting software — no migration

AI-OCR

Assess printed and handwritten Thai tax invoices

Extracts document number, date, tax ID, pre-VAT amount, VAT, and total, with a confidence score on every field.

Accounting validation

VAT and totals checked by accounting rules, not guessed by AI

VAT and totals are computed with accounting logic to catch documents that do not add up, and duplicates are flagged before review.

Review screen

A person checks every document before it posts

Shows the document image beside the extracted data for immediate correction, and records who changed what and when for audit.

Real cost comparison

AI-OCR vs manual keying vs traditional OCR

The figures below depend on each organization's document volume and quality, so they must be measured against real documents first.

Comparison of AI-OCR, manual keying, and traditional OCR
Aspect Manual keying Traditional OCR AI-OCR
Handwritten documents Handled, but slow and fatiguing Usually fails; still needs manual keying Handled, with per-field confidence scores
A layout never seen before People adapt immediately Needs a new template every time Handled without per-vendor templates
VAT and total checking Depends on the person's diligence Not checked — only converts to text Checked by accounting rules on every document
Cost per document Wage cost per document, always rising with volume Low, but re-keying is needed when it misreads A monthly fee that does not scale with headcount
Auditability Requires digging through paper files Files exist, but no edit history Original image plus a full edit history
Example engagement

An accounting firm in Bangkok

The firm received documents from many clients in different formats — paper, scans, and phone photos — and keyed each one into the accounting software, so client closes slipped every early month.

The shape of the engagement: AI-OCR reads the documents first, then a person checks only the fields the system was unsure about, instead of re-keying whole documents. The actual saving comes from timing the work before and after at each site, not from an industry-average figure.

Every field
Carries a confidence score; low ones go to a person
Sample documents
Used to define an assessment for your actual formats
Confirm before starting
Scope, measurement method, queue, timing, and fees
Who this fits

If your team matches these, it is worth a conversation

  • Enough tax invoices or bills coming in to keep someone keying
  • Still keying into the accounting software by hand
  • You need the document image kept for later audit
  • You accept that a person reviews before posting
Not a fit yet if

We will say so plainly if it is not worth starting

  • You want it to post to the accounting system with no human review
  • Every document already arrives through e-Tax Invoice
  • Volume is low enough to key manually in a few hours a month
Frequently asked

What finance teams always ask first

Does it handle handwritten tax invoices?

This must be assessed on real samples because results depend on handwriting, image quality, and document layout. Suitable fields, confidence handling, and human review are then defined in scope.

Do we have to change our accounting software?

No. It sits before the posting step and hands reviewed data to your existing software, either by file import or API, depending on what that software supports.

How is client data protected?

The form states the sample-file retention period, and role-based access can be configured. External provider use and data controls must follow the policy and the scope agreed for that work.

How long does it take to start?

The team confirms the assessment method, queue, timing, and fees after reviewing document formats. Production timing depends on document volume, accounting systems, and confirmed scope.

Start with your own numbers

Send 10 real tax invoices and see how accurately they read

This may include handwritten documents or phone photos. The team confirms scope, timing, fees, and data handling before assessment begins.