RPA + AI = Hyperautomation
Intelligent Automation
Go beyond basic RPA with AI-powered intelligent automation. Automate complex processes, handle unstructured data, and achieve 60-80% efficiency gains across your organization.
What is Intelligent Automation?
Intelligent Automation (IA) combines Robotic Process Automation (RPA) with artificial intelligence technologies like machine learning, NLP, and computer vision. Unlike traditional RPA that only handles rule-based tasks, IA can process unstructured data, make decisions, and learn from exceptions. It enables end-to-end process automation with 60-80% efficiency gains across finance, HR, customer service, and operations.
✓Key Takeaways
- •Intelligent automation starting at ₹2,49,999
- •UiPath, Automation Anywhere, Power Automate
- •60-80% efficiency gains
- •6-24 weeks implementation
- •Document processing, cognitive bots
- •3-6 months average ROI
Traditional RPA vs Intelligent Automation
Traditional RPA
- ● Rule-based only
- ● Structured data only
- ● Breaks on changes
- ● 30-40% process coverage
- ● No decision-making
Intelligent Automation
- ✓ AI-powered decisions
- ✓ Handles unstructured data
- ✓ Self-healing & adaptive
- ✓ 70-90% process coverage
- ✓ Cognitive capabilities
Intelligent Automation Capabilities
Intelligent Document Processing
Extract data from invoices, forms, contracts using AI
- •Invoice processing
- •Contract extraction
- •Form digitization
- •Email parsing
Cognitive RPA Bots
RPA bots enhanced with AI decision-making
- •Exception handling
- •Unstructured data
- •Dynamic workflows
- •Self-healing bots
Conversational Automation
AI chatbots integrated with backend processes
- •Customer service
- •IT helpdesk
- •HR queries
- •Order tracking
Process Mining & Discovery
AI-powered process analysis and optimization
- •Process mapping
- •Bottleneck detection
- •Automation candidates
- •ROI prediction
Predictive Operations
Anticipate issues before they occur
- •Workload prediction
- •Resource planning
- •Risk detection
- •SLA monitoring
End-to-End Orchestration
Unified automation across systems
- •Cross-system workflows
- •Human-in-loop
- •API integration
- •Real-time dashboards
Automation by Department
Finance & Accounting
- Invoice processing
- Expense management
- Bank reconciliation
- Financial reporting
Human Resources
- Resume screening
- Onboarding
- Payroll processing
- Leave management
Customer Service
- Ticket classification
- Response generation
- Case routing
- Knowledge lookup
Supply Chain
- Order processing
- Inventory updates
- Vendor management
- Shipment tracking
IT Operations
- Incident management
- Password resets
- System monitoring
- Report generation
Legal & Compliance
- Contract review
- Compliance checking
- Audit preparation
- Policy updates
Automation Packages
Starter
6-8 weeks • 3-5 bots
- Process assessment
- RPA bot development
- Basic AI integration
- Testing & deployment
- User training
- 3 months support
Professional
10-14 weeks • 8-12 bots
- Comprehensive assessment
- Advanced cognitive bots
- IDP implementation
- Process orchestration
- Analytics dashboard
- Change management
- 6 months support
Enterprise
16-24 weeks • 20+ bots
- Enterprise-wide automation
- CoE setup
- Custom AI models
- Full orchestration
- Governance framework
- Hyperautomation roadmap
- 12 months support
Frequently Asked Questions
Intelligent Automation (IA) combines RPA with AI technologies like ML, NLP, and computer vision. While RPA automates rule-based, repetitive tasks, IA can handle: Unstructured data (emails, documents, images), Decision-making with exceptions, Learning and improving over time, End-to-end process automation. Think of RPA as the hands and IA as adding a brain. IA typically achieves 30-50% more automation coverage than RPA alone.
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