Robotic Process Automation

Robotic Process Automation

Automation will take on an even more critical role in a post-pandemic world . RPA will be the first stop along the path to intelligent automation. Automating business processes in your organization can be incredibly beneficial, potentially allowing organizations to bring down the cost of automated job functions by 30-40 %? while doubling their efficiency.

Benefit of Robotic Process Automation

Cost Effective

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Accuracy & Quality

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Consistency

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Improved Analytics

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Faster

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Versatility

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Finance & Accounting

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HR Process

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Document Control

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Customer Relation

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InfiCorp Technology RPA Process path model

Automating business processes in your organization can be incredibly beneficial, potentially allowing organizations to bring down the cost of Automated Job Function by 30 - 40 %?while doubling their productivity and cutting down Operation cost. Our expertise research team develops strong and trustworthy use case for the initial trial or Proof of Concept ( PoC).

We prepare Project life Cycle for every RPA product after planning on Timeline, Resources, RPA Tool framework Model, Architecture Solutions and development Team.

Step 1

Manual Process Documentation and Identification

Prepare Record book for Complete Manual Process of designated Business Function. Our Expert Analyst identify processes to be Automated and develop strong USECASE

INCLUDES

  1. Pre defined rule based Process
  2. Identify Digital and Structure data
    • Spreadsheets
    • Databases
    • JSON files
    • CSV files
    • XML and HTML files, etc.
  3. Select Repetitive routine task
    For example, RPA can help successfully automate Data Entry Processes, Procurement, Accounting and Sales processes, etc.
  4. Try to break employee judgement based process into smaller parts and you will see that most of them are rules-based and can be automated through RPA

NOT INCLUDES: We can Automate Following Process through Intelligent Automation Solutions with implementation of Cognitive Technology.

  1. Employee Judgment based Process
  2. Identify Analog and Unstructured Data

Intelligent Automation Solutions allow the inclusion of certain cognitive decisions, enabling automation of end-to-end processes with minimal requirement for manual effort.

Advanced image recognition and optical character recognition (OCR) capabilities are able to digitize the data, and machine Learning can process unstructured information from scanned documents, images and other data inputs that are not a good fit for pure RPA.

Step 2

Create and Submit Proof of Concept ( POC)

After having selected the use case, ask yourself following questions:

  1. Does it make sense to automate it?
  2. Is there enough momentum for it??
  3. Technically Feasible

It enables organizations to shortlist Tools or Scripting Language, technologies, infrastructure, Rules and Regulation need to comply and controls to understand the right practices for execution. We draft Product analysis Report after due discussion with management of stakeholder on before starting and RPA Product process Designing.

  1. SWOT Analysis
  2. Expected ROI

Step 3

Design

Select, Install and Configure RAP Tool. Create and define essentials for RPA Product Process. RPA Robot _ Win 2019 Docker Master _ Linux Docker Node

Process Studio

  • Decision Stage
  • Calculation Stage
  • Data Items

Process Diagrams

  • Collections
  • Loops
  • Execution Control
  • Logical Process Flow

I/O Data and Control Room

  • Input Parameters
  • Output Parameters
  • Data Types
  • Control Room
  • Process Stage

Object Studio

  • How objects work?
  • Other accompanying stages / operations
  • Action stage

Application Modeller

Exception Handling

  • Exception Handling stages
  • Exception Bubbling
  • Exception Blocks

Step 4

Build Pilot and Test

Stakeholders, Product Owner, are involved who are surveyed for feedback. The input thus received lay down the basis for documenting the improvements required, areas of risk, and helps to revise the methodology and frameworks to build a stronger solution.?

Step 5

BOT Monitoring and Dry Run

One of the crucial stages of the RPA implementation journey is BOT monitoring once it is ready to get on production. During the RPA project implementation, it is important to review the BOT for its functionality, check if the log/notification mechanisms are effective. Successful implementation at this stage showcase the potential of RPA to a broader business audience. Also, before the bot starts to operate on production, the support and maintenance team should be active to handle any abrupt behavior of the bot.?

Step 6

Deployment

After the successful execution of the first three phases, the final output is likely to be positive. By this time, the bot should have complied with standard and organizational regulations, ensuring that automation does not impact other functionalities in the topology.

Sectors we Serve

INFICORP understands the art of delivering cloud computing and provides range of cloud computing services to clients across industries, although cloud services we deliver to our clients are not limited by some specific industries.

Supply Chain

Health Care

Food & Beverage

Facility Management

Engineeering Service

Retail