Best Practice for Automatic GL Account Classification from Invoices

asked on June 6

Hello,

We are currently working on an automated invoice processing solution using Smart Fields and Workflow.

Our goal is to automatically assign a General Ledger (GL) account to each product or service line extracted from an invoice.

For example:

Windows Server License → Software account
Computer Server → IT Equipment account
Maintenance Contract → Maintenance account
Office Supplies → Office Supplies account

We are considering using a Chart of Accounts as a reference to automatically map invoice line descriptions to the appropriate GL accounts.

We have several questions:

Is there a recommended approach within Laserfiche for this type of accounting classification?
Can Smart Fields leverage a reference source (SQL database, lookup table, value list, etc.) to assign a GL account?
Has anyone implemented automatic GL account assignment based on product or service descriptions?
Do you use Smart Fields, Workflow, an external database, or a combination of these tools?
Are there any best practices or examples for handling this type of requirement at scale and across multiple industries?

I would appreciate any feedback, experience, or architecture recommendations.

Thank you in advance.

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replied on July 31

Hi Olivier,

This is a common requirement, and the approach that holds up best in production is to separate extraction from classification rather than asking the AI to do both.

Extract the line items faithfully. Configure your line items as a multi-value group on the template — one row per line, with the description, amount, and a GL Account field. Smart Fields will return a row per invoice line, which gives Workflow something structured to iterate over.

Keep the GL mapping in data, not in the prompt. Rather than describing your Chart of Accounts in a field prompt, define the GL Account field as a list field so its values come from your actual account set. Constraining the field to a known value set is what stops the model from inventing plausible-looking account numbers, which is the usual failure mode here.

Narrow before you map. A full Chart of Accounts is often thousands of accounts — too many to put in front of the model usefully, and accuracy degrades as the candidate set grows. It works much better to have Smart Fields classify the line into a coarse expense category (Software, IT Equipment, Maintenance, Office Supplies — a set you can keep to a couple of dozen), then resolve category + vendor → specific GL account deterministically in Workflow against a lookup table or SQL source. The deterministic step is also auditable, which finance teams generally require.

Plan for a review step. Route rows where the category is empty or the mapping finds no match to a human review task rather than posting them. Accuracy on the coarse category is high, but you want the exceptions visible.

For reuse across clients and industries, this structure travels well: the template and Workflow stay the same, and only the category→account mapping table changes per client. That's the part you don't want embedded in prompts.

One question so I can be more specific: are you on Cloud or self-hosted? The options for backing a field's values with a live external source differ between the two, and that affects the recommendation.

Hope that helps.

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Best Practice for Automatic GL Account Classification from Invoices

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