AI Agent

Document Classification AI Agent

Process 10,000+ documents daily with 99.9% accuracy

99.9% classification accuracy. Zero manual sorting. 10,000 documents per day automatically routed to the right teams.

Benefits

Eliminate Manual Document Sorting Forever

BPO teams waste hours sorting incoming documents by type before processing can begin. Manual classification is slow and error-prone. Misrouted documents delay workflows. This agent classifies 10,000+ documents daily with perfect accuracy.

90%

Processing cost reduction

99.9%

Classification accuracy

10K+

Documents daily

Agentic Flows

Complete Document Processing Automation

Automated workflow: document intake from email, fax, upload, or scan, content analysis with AI classification, confidence scoring with human review routing, automatic routing to processing teams, exception handling with learning loop.

How it works

AI-Powered Document Intelligence

The agent analyzes document content, structure, and metadata using computer vision and NLP, classifies into 100+ document types instantly, routes to appropriate processing queues automatically, learns from corrections to improve accuracy.

Self-learning agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart model switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Self-learning agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart model switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Extract order number, seller information, delivery information, and payment details from the uploaded order forms.

Completed

ID-0E48

Integrations

Processes Documents from Any Source

Handles documents from email (Gmail, Outlook), fax, web upload, scanning, and APIs. Integrates with Laserfiche, FileHold, M-Files, SharePoint for storage. Routes to NetSuite, SAP, Salesforce for processing.

Implementation

Classifying Documents in 48 Hours

Connect your document sources and define classification rules. Train on sample documents. Most BPOs process 10,000+ documents daily within 2 days of deployment.

Step 1

Agent discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 1

Agent discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 2

Agent setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 2

Agent setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 3

Agent training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 3

Agent training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 4

Agent live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Step 4

Agent live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Key Features

Enterprise Document Classification

Multi-Format Support

Classifies PDFs, images, Word docs, emails, and scanned documents. No templates needed ever.

100+ Document Types

Identifies invoices, POs, contracts, forms, statements, and custom types. Extendable library.

Confidence Scoring

Assigns confidence to each classification. Routes low-confidence items for human review quickly.

Demo

See Document Classification in Action

Watch the agent process 1,000 mixed documents: classify into 25 types, route to 5 processing queues, flag 10 for review, achieve 99.9% accuracy in minutes.