Automate the WorkNot Just the Clicks
Go beyond RPA button-clicking. We build AI-powered automation that understands context, processes documents, extracts data, and makes routing decisions—handling the cognitive work that traditional automation can't touch.
AI Automation Impact
Real outcomes from intelligent process automation.
80%
Report ROI
60%
Top Use Case
48%
Process Automation
30%
Highest Potential
What We Automate
Intelligent automation for real business processes.
Document Processing
Extract data from invoices, contracts, forms, and unstructured documents. Handle variations that rule-based systems can't—handwriting, poor scans, varied formats.
Data Extraction & Enrichment
Pull structured data from emails, PDFs, and web sources. Validate, normalize, and enrich with external data. Feed directly into your systems.
Report Generation
AI-generated reports from your data. Executive summaries, analysis narratives, and formatted outputs. Scheduled or on-demand.
Intelligent Routing
Classify incoming requests and route to the right team. Prioritize by urgency. Escalate exceptions automatically.
Quality Assurance
Automated review of content, code, or data. Catch errors, flag anomalies, and ensure consistency before human review.
Email & Communication Automation
Draft responses, categorize inbound messages, extract action items. AI that handles the cognitive load of communication.
Why Companies in businesses Choose Us
Global timezone overlap for seamless, real-time collaboration with your team.
Frequently Asked Questions
How is AI automation different from traditional RPA?
Traditional RPA (Robotic Process Automation) follows rigid rules—click here, copy that, paste there. It breaks when formats change. AI automation understands content and context. It can read an invoice even if the layout is different, understand an email's intent even if worded unusually, and make judgment calls on edge cases. AI handles the cognitive work; RPA just clicks buttons.
What processes are best suited for AI automation?
Look for processes that are: (1) repetitive but require judgment, (2) involve unstructured data (documents, emails, images), (3) currently done by skilled workers doing routine cognitive tasks, and (4) high-volume enough to justify automation. Common examples: invoice processing, customer onboarding, report generation, email triage, and data validation.
How accurate is AI document processing?
Accuracy depends on document quality and complexity. For standard business documents (invoices, forms), we typically achieve 90-98% accuracy—higher than manual processing which averages 96-99% with fatigue-related errors. We implement confidence thresholds: high-confidence extractions proceed automatically; low-confidence items route to human review.
Can you integrate with our existing systems?
Yes. We build automation that connects to your current tech stack via APIs—ERP systems (SAP, NetSuite), CRM (Salesforce, HubSpot), databases, email, and custom applications. Automation should enhance your existing workflows, not require you to change them.
What ROI can we expect from AI automation?
80% of organizations report measurable ROI from AI automation. Typical outcomes include: 70-90% reduction in manual data entry, 50-80% faster document processing, fewer errors than manual processing, and redeployment of staff to higher-value work. We help you measure baseline metrics before implementation so ROI is clear.
Where is your team based?
Our team is based in India, which allows us to offer competitive rates while maintaining high quality. We work with clients globally and provide flexible timezone coverage.