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 — making it brittle, maintenance-heavy, and 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 engagements
- 452+ engineers across 15 countries
- Fully self-funded growth
Capabilities
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 studyFrequently Asked Questions
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.