AI for 1C: How a Neural Network Connects via HTTP Services and Automates Accounting and Document Flow

Introduction

Accounting and document flow are among the most routine and time-consuming processes in any business. Every day, specialists spend hours entering primary documents, reconciling invoices, processing invoices and acts. Human errors, delays, and data loss are inevitable companions of the traditional approach. But what if these tasks were handed over to artificial intelligence?

Modern AI solutions, such as AI agents, are capable not only of recognizing text but also of fully interacting with the 1C system, performing actions on behalf of the user. The key mechanism for this integration is HTTP services. In this article, we will explore how AI connects to 1C, what tasks it automates, and how it changes the work of an accountant.

How an AI Agent Connects to 1C via HTTP Services

HTTP services are a built-in mechanism of the 1C:Enterprise platform that allows external systems to send requests and receive data in JSON or XML format. An AI agent (e.g., a GPT neural network or a specialized model) uses this channel for two-way information exchange.

Workflow:

1. AI agent receives a task (e.g., "process an invoice from a supplier").
2. It forms an HTTP request to the published HTTP service of 1C.
3. 1C accepts the request, executes business logic (creating a document, checking data).
4. The response is returned to the agent in a structured format.
5. AI analyzes the response and, if necessary, initiates the next step (e.g., sending for approval).

Example code of an HTTP service in 1C (simplified):

Function ProcessRequest(Request)
    Data = Request.JSON;
    NewDocument = Documents.InvoiceForPayment.CreateDocument();
    NewDocument.Counterparty = Data.Counterparty;
    NewDocument.Amount = Data.Amount;
    NewDocument.Write();
    Return NewDocument.Ref.UniqueIdentifier();
EndFunction

What Gets Automated: Specific Tasks

An AI agent connected to 1C via HTTP services can perform dozens of operations without human intervention. Here are the key scenarios:

1. Entry and Recognition of Primary Documents

• Scans and PDF files (invoices, acts, waybills) are recognized by AI, which extracts details and creates documents in 1C.
• Result: Processing speed increases 10 times, errors are reduced to zero.

2. Automatic Reconciliation of Mutual Settlements

• AI checks data from bank statements, reconciliation acts, and the accounting system.
• If a discrepancy is found, it generates a report and sends a notification to the accountant.

3. Document Flow Management

• AI can send invoices to counterparties via email or EDI, track signing statuses.
• When a deadline expires, it automatically reminds or initiates a resend.

4. Report Generation

• On request, AI collects data from 1C registers, builds reports (balance sheet, sales analysis, receivables), and exports to Excel or Google Sheets.

5. Input Correctness Check

• AI analyzes entered data for illogical values (e.g., negative amount, incorrect TIN) and suggests corrections.

Benefits of Implementing AI in 1C

• Speed: AI processes documents in seconds, not hours.
• Scalability: One agent can work with tens of thousands of documents per day.
• Security: Interaction via HTTP services does not require direct database access (only through API).
• Flexibility: AI is easily customizable for any business processes—from simple input to complex routing.

Example Workflow

1. An accountant receives a PDF invoice from a supplier via email.
2. The AI agent automatically retrieves the email and recognizes the document.
3. Via HTTP service, it creates a document "Invoice for Payment" in 1C, filling in the counterparty, amount, and purpose.
4. AI checks if the supplier has a contract in the system. If not, it creates a task to add it.
5. After creation, the invoice is sent for approval to the manager.
6. Upon approval, AI generates a payment order and uploads it to the bank client.

All this takes less than 5 minutes and requires no human involvement.

Conclusion