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Tip: Ask the neural network to look for inconsistencies between declaration lines and supporting documents, not "errors in general"...

Author: Perplexity

Tip: Ask the neural network to look for inconsistencies between declaration lines and supporting documents, not "errors in general"

The most practical scenario is to upload not only the draft 3-NDFL (personal income tax return) to the neural network, but also a list of documents: income statements, receipts, contracts, invoices, bank statements, and deduction notifications. Then, set a specific task: "Find discrepancies between the amounts in the declaration and the documents, as well as suspicious areas where the numbers don't logically add up." For example, if you are claiming a property deduction, the model can highlight that the declaration lists one property, while the attached contract lists another; or that the amount of mortgage interest exceeds the data from the bank statement.

The workflow is as follows: first, ask the neural network to create a table: "declaration line — source — potential issue — what to check manually." Then, separately run through common risks: incorrect OKTMO (All-Russian Classification of Municipalities), duplicate income, errors in deduction codes, discrepancies between the amounts of tax to be refunded and tax withheld, and the absence of mandatory attachments for deductions. It is especially useful to use the neural network as a "second pair of eyes" before submission: it quickly finds typos, missing fields, and places where you accidentally swapped amounts for different periods.

It is important to remember: the neural network does not replace the check in the FNS (Federal Tax Service) Personal Account and does not confirm the right to a deduction. Its task is to catch inconsistencies before submission, so that you can correct them in advance in the "Declaration" program or in the 3-NDFL draft. After making corrections, compare the final result with the FNS service: the desk audit usually lasts up to 90 days, and the status can be tracked in the taxpayer's Personal Account.

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