Revolutionizing Global Business Service Model of Today Through Intelligent Automation

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Revolutionizing Global Business Service Model of Today Through Intelligent Automation

Intelligent Automation technologies have started aiding the Global Business Model of today, which holds on specific operating structures and certain standard implementations gap to achieve:

  • Enormous cost savings
  • Reduction of manual labor 

Moreover, the stress can lessen on manual labor with an alteration of it, and Intelligent Automation stands out to be the best fit for it. To be more specific, if Global Business Services wants to cut down on cost savings, then minimizing labor costs will be a highly beneficial step. Here, Intelligent Automation got categorized into three categories:

1. Robotic Process Automation

RPA correlates virtual workers like software ‘robots’ to initiate complete computerized tasks by efficiently implementing the software application user interface instead of human intervention. Some of its automated functions are :

  • Accelerate repetitive digital steps
  • Execute rule/logic-driven steps
  • Process static rules

There are certain benefits of RPA which enables multiple tasks:

  • To initiate high process volumes
  • To involve less IT involvement
  • To implement faster additional applications

Previously, Global Business Services were struggling hard to search information in various ERP packages or software or to complete an array of repetitive calculations, but now, with the arrival of Intelligent Automation, specific tasks like shifting data from one system to another and online form filling got more accessible and this enhanced customer satisfaction by assuring:

  • Efficient time management
  • Decreasing errors
  • Minimize stress on work
  • Higher value activities

2. Artificial Intelligence

This intelligent Automation tends to utilize computer software to perform an array of tasks duly linked with human intelligent easily and by maintaining a usual format and can cite the functions as :

  • Decision making
  • Recognition of visual/pattern
  • Recognition of speech
  • Translation between languages

Additionally, AI software can acknowledge and think of its own by exceeding the capabilities of RPA and VAs while dealing with various structured and repetitive tasks. It also used to work on both structured and unstructured data. Some of the advantages it holds are:

  • Scan documents for relevant information
  • Forecast personality characteristics by scrutinizing scripted texts
  • Initiate military simulations
  • Acknowledge emotions, social tendencies, and specific, definite values through texts
  • Analysis of credit and risks
  • Prevent and control fraud activities
  • Plan tax strategy
  • Budgeting

3. Virtual Agents

This intelligent Automation accelerates customer relationship management by implementing various software tools. It acts like a human intelligence that can work on both language and communication interaction, and this initiates certain functionalities as :

  • Enable customers to execute routine transactions like :
  • Marketing reservations
  • Answering questions
  • Making/purchasing catalogue items
  • Auto-updating customer profiles

Additionally, it uses Natural Language Processing (NLP) to acknowledge customers’ intentions and guide them accordingly. Thus, it facilitates an array of practical tasks like :

  • Contribute some personalized services to various automated interactions
  • Provide chat support to customers via Chatbots
  • Refer customers to human service representatives
  • Reduce labour costs
  • Encourage self-service
  • Initiate customer’s loyalty

Thus, Intelligent Automation’s impact is broad on Global Business Services, where all the decisions are implemented efficiently, facilitating a considerable cut on labor costs. Some of the achieved results are :

  • Taking ERP Decisions

RPA can automate repetitive tasks like transactions at a reasonable cost.

  • Giving Support To Service Location Decisions

Intelligent Automate facilitates specific countries or regions to utilize local language employees with service availability in local time zones.

  • Implementing Business Process Outsourcing

This intelligent Automation tends to lower the cost associated with rule-based, repetitive processes to facilitate countries with lower labor costs, which ultimately helps cut down the need for outsourcing.

  • Locating COE’s Decisions

AI solutions can perform complex and analytical tasks of COEs, which are generally located close to any company’s headquarters and from any part of the world.

Conclusion

Today, Intelligent Automation is needed by Global Business Services to adopt new technologies and accelerate the best delivery services in near future.