Manual data entry is the silent productivity killer in countless organizations. Of all the repetitive tasks, processing invoices stands out as particularly tedious, error-prone, and slow. A single misplaced decimal or a misread vendor name can cascade into payment delays, reconciliation headaches, and frustrated suppliers. For decades, businesses have tried to solve this with Optical Character Recognition (OCR), but it has always felt like a partial solution.
What if you could go beyond simple text extraction? What if you could deploy an autonomous digital worker that doesn't just read an invoice, but understands it and acts on it, just like a human accountant would?
This is the power of the agentic approach to Intelligent Document Processing (IDP). With bots.do, you can build, train, and deploy AI agents that transform invoice processing from a manual chore into a fully automated, end-to-end business workflow.
Traditional OCR technology is a one-trick pony: it looks at an image of a document and converts the characters it sees into machine-readable text. While useful, it has critical limitations:
An AI agent, or digital worker, on the bots.do platform operates on a completely different level. It’s not a single-purpose tool; it's an autonomous entity you define with code to execute a complex, multi-step process.
An invoice processing agent performs a sequence of tasks, much like a meticulous human employee:
The bots.do platform is built on a "Business-as-Code" philosophy. Instead of wrestling with brittle visual workflow builders, you define your digital workers and their tasks using the power, flexibility, and scalability of real code. This allows you to version, test, and deploy your business automation with the same rigor as your core software applications.
Here’s a simplified look at how you might define an invoice processing agent using our SDK.
import { Bot } from '@do/sdk';
import { accountingApi, visionModel } from './integrations';
// 1. Define your new digital worker
const invoiceProcessor = new Bot({
name: 'AP Invoice Processor',
description: 'An AI agent that extracts data from invoices and creates bills in our accounting system.',
});
// 2. Give the bot a specific, multi-step task
invoiceProcessor.task('process-invoice-pdf', async (invoicePdf) => {
console.log(`Processing invoice: ${invoicePdf.filename}`);
// Step A: Use an AI model to understand the document
const extractedData = await visionModel.extractStructuredData(invoicePdf, {
schema: {
invoiceId: 'The unique invoice number',
vendorName: 'The name of the company that sent the invoice',
dueDate: 'The date payment is due',
totalAmount: 'The final total amount to be paid',
}
});
// Step B: Validate the extracted data
if (!extractedData.totalAmount || extractedData.totalAmount <= 0) {
throw new Error('Invalid or missing total amount.');
}
// Step C: Act on the data by calling an external API
const result = await accountingApi.createBill({
vendor: extractedData.vendorName,
invoiceNumber: extractedData.invoiceId,
amount: extractedData.totalAmount,
dueDate: extractedData.dueDate,
});
console.log(`Successfully created bill: ${result.id}`);
return { status: 'processed', billId: result.id };
});
// 3. You can now run this bot via an API call whenever a new invoice arrives
This code-first approach provides unparalleled control. You can integrate any API, use any AI model, and implement custom validation logic that perfectly matches your business rules.
When you build an invoice processor on bots.do, you aren't just automating one task. You are adding a new, permanent member to your digital workforce. The benefits extend far beyond a single use case.
Ready to stop chasing paper and start building your autonomous digital workforce? Deploy an AI agent that handles your invoices so your team can focus on what matters most.
Build with Bots and transform your business operations today.