- Powerful RPA
- Intuitive and Scalable
- Reliable
- Best-time-to value
- Cost Reductions
- Performance
- Productivity
- Efficiency
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Patient registration
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Billing
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New employee joining formalities
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Payroll process
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Hiring shortlisted candidates
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Claims Processing & Clearance
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Premium Information
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Bills of material
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Calculation of Sales
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Service Order Management
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Quality Reporting
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Ticket booking
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Passenger Details
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Accounting
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Cards activation
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Frauds claims
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Discovery
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Change of Address
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License Renewal
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Issues Processing
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Account setup and communication
Robotic Process Automation
April 25, 2019
Robotic Process Automation
RPA is an emerging form of business process automation technology based on the notion of software robots or artificial intelligence
The main goal of Robotics process automation process to replace repetitive and boring clerical task performed by humans, with a virtual workforce. The RPA is a software program which runs on an end user’s pc, laptop or mobile device. It is a sequence of commands which are executed by Bots under some defined set of business rules.
RPA empowers enterprises to dramatically reduce operational costs, increase efficiency, improve productivity and accelerate performance.
Accelerate performance with less resources
RPA Implementation Methodology
Application of RPA
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Healthcare |
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HR |
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Insurance |
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Manufacturing & Retail |
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Telecom |
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Travel & Logistic |
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Banking and Financial Services |
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Government |
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Infrastructure |
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General Use of RPA
1. Emulates Human Action:
Emulates human execution of the repetitive process using various application and systems.
2. Conduct high-volume repeated tasks:
Robotics process automation can easily simulate rekeying of data from one system to another. It performs tasks like data entry, copying, and pasting.
3. Perform Multiple Tasks:
Operates multiple and complex tasks across multiple systems. This helps to process transactions, manipulate data and send reports.
4. ‘Virtual’ system integration:
This automation system can transfer data between disparate and legacy systems by connecting them at the user interface level instead of developing new data infrastructure.
5. Automated report generation:
Automates the extraction of data to comes up with accurate, effective and timely reports.
6. Information validation and auditing:
Resolves and cross-verify data between different systems to validate and check information to provide compliance and auditing outputs.
7. Technical debt management:
Helps to reduce technical debt by reducing the gap between systems, preventing the introduction of custom implementations.
8. Product management:
It helps to bridge the gap between IT systems and related product management platforms by automated updating of both systems.
9. Quality Assurance:
It can be beneficial to QA processes which cover regression testing and automating customer use case scenarios.
10. Data migration:
Allows automated data migration through systems which is not possible using traditional mediums, like document, spreadsheets or other source data files.
11. Gap solutions:
Robotic automatic fills the gaps with process deficiencies. It includes may simple tasks as password resets, the system resets, etc.
12. Revenue forecasting:
Automatically updating financial statements to predict revenue forecasting.
