How are AI agents different from traditional RPA?

Traditional RPA follows rigid rules and breaks when processes change. NINtec's AI agents use large language models to understand context, reason about exceptions, and adapt to process variations autonomously. This delivers adaptive automation that handles the 20% of cases RPA cannot.

What automation technologies does NINtec use?

NINtec builds AI agents using LangChain, LangGraph, and custom LLM orchestration. These agents integrate with enterprise systems via APIs, handle document processing with OCR and NLP, and orchestrate multi-step workflows with human-in-the-loop capabilities.

Can NINtec automate document-heavy business processes?

Yes. NINtec's intelligent document processing combines OCR, NLP, and LLMs to extract, classify, and route information from unstructured documents. This automates invoice processing, contract analysis, regulatory filings, and similar document-intensive workflows.

Services / Process Automation

Process Automation

From rule-based RPA to reasoning-based AI agents

Overview

Robotic Process Automation (RPA) was the first wave of process automation. It works by recording and replaying human actions across UIs and systems - brittle, maintenance-heavy, incapable of handling variation.

AI agents are the second wave. Unlike RPA bots that follow scripts, AI agents reason. They read documents and extract structured data regardless of format variation. They handle exceptions by applying judgment.

NINtec's Process Automation practice migrates clients from legacy RPA to AI agents - using LangChain and LangGraph for agent orchestration, Anthropic Claude as the reasoning engine, and existing client systems as tool integrations.

Why NINtec

AI-first engineering methodology
30+ Fortune 500 clients
452 engineers across 30 countries
Fully self-funded growth

Capabilities

AI agent design and deployment - task agents, orchestrator agents, multi-agent networks

LangChain / LangGraph agentic workflow engineering

Legacy RPA migration (UiPath, Blue Prism, Automation Anywhere to AI agents)

Document intelligence - intelligent data extraction from invoices, contracts, forms

Email and communication automation - AI reading, routing, drafting, responding

ERP and CRM process automation - SAP, Salesforce, Oracle, Dynamics integration

Financial process automation - AP/AR, reconciliation, reporting, compliance

HR process automation - onboarding, document processing, payroll data flows

Process mining - discovering automation opportunities from event log analysis

Workflow orchestration - Apache Airflow, Prefect, Temporal

How We Use AI

Claude serves as the reasoning engine inside deployed AI agents.

LangGraph manages the state machine of complex multi-step agent workflows.

Claude analyzes existing process documentation to identify automation opportunities.

AI generates test cases for agent workflows including edge cases and exception paths.

Technology Stack

Agents

LangChain, LangGraph, AutoGen, CrewAI

LLM

Anthropic API (claude-sonnet-4-6), OpenAI, Ollama

RPA Migration

UiPath, Blue Prism, Automation Anywhere (source)

Orchestration

Apache Airflow, Prefect, Temporal, AWS Step Functions

Document

AWS Textract, Azure Form Recognizer, Google Document AI

Integration

REST APIs, SOAP, SAP BAPI, Salesforce API, MuleSoft

Case Study

Top 10 Indian Bank: 85% reduction in compliance processing time. NINtec replaced manual regulatory reporting across 14 SEBI/RBI frameworks with an AI agent - zero late submissions since deployment.

Full case study

Frequently Asked Questions

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