AI automation that eliminates
manual busywork.
Rule-based RPA breaks the moment a form changes. AI automation understands context, adapts to variation, and handles the exceptions that crash traditional automation. We build intelligent automation systems that reduce manual processing by 60–80% — and keep working as your processes evolve.
Intelligent Automation, End to End
From document processing to agentic workflows — automation that understands context and handles exceptions.
Intelligent Document Processing
LLM and ML pipelines that extract, classify, and structure data from invoices, contracts, forms, and reports — handling variation in format and layout with 95%+ accuracy.
Email & Ticket Intelligence
AI systems that read, classify, extract intent, and route emails and support tickets — with automated responses for common queries and human escalation for complex cases.
Workflow Automation with AI
AI-augmented workflow automation using n8n, Zapier, and custom pipelines — connecting systems, triggering actions, and handling conditional logic with AI decision-making.
AI + RPA Hybrid Systems
Combining RPA bots for UI automation with AI for document understanding and decision-making — structured process automation with AI intelligence.
Compliance & Approval Automation
AI systems that check documents against policy rules, flag exceptions, route for approval, and maintain audit trails — for regulatory compliance and internal governance.
Agentic Process Automation
LLM agents that autonomously execute multi-step business processes — research, data gathering, decision-making, and action-taking — with human oversight and audit logging.
Our automation engagement process in 5 steps
A disciplined, outcome-focused approach from first call to go-live.
- 1
Process Discovery & ROI Assessment
Map the target process, quantify manual effort, identify exception patterns, and build the automation business case.
- 2
Data Collection & Annotation
Collect sample inputs (documents, emails, tickets), annotate examples, and establish accuracy benchmarks.
- 3
AI Pipeline Development
Build the AI extraction, classification, and decision models — with explicit exception handling for low-confidence cases.
- 4
Workflow Integration
Connect the AI layer to your existing systems — ERP, CRM, ticketing tools — via APIs, RPA bots, or native connectors.
- 5
Go-live & Continuous Improvement
Deploy with human review queues, monitoring dashboards, and a feedback loop for continuous accuracy improvement.
Automation Tools & Frameworks We Master
A production-tested, vendor-agnostic stack built for enterprise security and compliance requirements.
AI & LLM Layer
Workflow & RPA
Document AI
Integration
Automation Use Cases by Industry
Production AI automation we have built across regulated, data-heavy industries.
Invoice Processing Automation
LLM-based invoice processing — extracts line items, vendor info, and amounts from 5,000+ invoices/day across 12 formats. 78% reduction in manual processing time.
Prior Auth Document Automation
AI automation for insurance prior authorisation — extracts clinical criteria, cross-checks policy rules, auto-approves 65% of requests, routes exceptions.
Contract Intake Automation
Email intake + AI extraction + workflow routing — contracts automatically classified, key terms extracted, and routed to the right attorney. 80% faster intake.
Purchase Order Processing
AI + RPA hybrid processing supplier POs — reads emails, extracts order data, validates inventory, and creates orders in ERP. 3,000+ POs/day, 92% automation rate.
Resume Screening Automation
AI pipeline reading CVs, scoring against job criteria, extracting skills, and populating ATS — processes 10,000+ applications/week, reduces screening time 85%.
Shipping Document Automation
Bill of lading and customs document processing — AI extracts and validates data, flags discrepancies, and feeds the data warehouse. 99.3% extraction accuracy.
What Teams Say After Shipping with Us
Real results from teams who needed automation to work in production, not just in a demo.
AndolaSoft has been a valued partner providing excellent customer service. Issues with clients or troubleshooting are handled in a timely manner and positive resolution is always the outcome.
I got a recommendation on AndolaSoft. They are more than half the cost, they have a can-do attitude, and they are responsive, timely, and easy to work with.
Andolasoft team is very hardworking, dedicated and professional that follows through with their goals. The technical leadership is also a superior value to any other developers.
Frequently Asked Questions
Traditional RPA follows rigid rules — it breaks when UI or data formats change. AI automation uses ML and LLMs to understand context, handle variation, and adapt to exceptions — making it far more resilient and capable of processing unstructured inputs like documents, emails, and images.
Ready to automate your manual processes?
Tell us which processes consume the most manual effort. We will quantify the automation opportunity and scope a solution in one discovery call.