Operational Excellence

Artificial Intelligence in Action

Adding intelligence to robotic process automation

Robotic Process Automation (RPA) is a low-code, low-cost option for the service providers in the connectedness industry to automate high-volume manual processes, delivering cost, efficiency, accuracy, and transparency. By automating a large part of day-to-day activities, service providers can drive accuracy, improve employee morale and productivity, and ensure reliability and consistency of operations. However, to drive the intended benefits from their RPA initiatives, service providers need to understand the difference between the three primary levels of RPA maturity: Basic RPA, Cognitive RPA, and Intelligent RPA.

The Basic RPA relies on easy-to-implement and understanding fundamental technologies such as macro scripts and workflow automation. It is rule-based, does not involve much coding, and uses an ‘if-then’ approach to processing. Cognitive RPA, on the other hand, is a knowledge-based approach. It uses complex technologies such as natural language processing (NLP), text analytics, and data mining to automate parts of the process that Basic RPA cannot. But service providers can primarily benefit from Intelligent RPA, which uses AI/ML technology for decision making. With AI/ML, Intelligent RPA can go beyond data processing (gathering, sorting, calculating, and reporting), automate processes based on continuous analysis of incoming information, and learn to act smarter over time. This is especially beneficial for service providers dealing with large volumes of unstructured data. Furthermore, Intelligent RPA can gather insights and improve them over time while working together for the best results.

The insight elaborates on the three maturity levels of RPA and how to adopt them across the customer engagement lifecycle to help build out and deliver high-value use cases.

With RPA, service providers can drive accuracy, improve employee morale and productivity, and ensure reliability and consistency of operations

Three main levels of RPA maturity

IT Agility

A comprehensive checklist to plan a successful migration

Leverage the migration strategy checklist for a quick, error-free, and resource-efficient migration

Migration allows service providers in the connectedness industry to get all the data they require in a single/centralized system. As a result, analysts and other employees have an easier time accessing the required data, which can be used to make better decisions, resulting in a faster time to insight.

Service providers opt for integration/migration programs for various reasons like integration post mergers and acquisitions (M&As), modernizing the legacy systems, changed compliance & regulatory requirements, and technology & feature enhancements. However, most service providers fail to migrate their systems effectively. According to Gartner, more than 83% of integration/migration programs either fail/exceed schedules and exceed budget by approximately 30%.

Leverage this insight for a quick and handy migration strategy checklist, covering both pre and post-migration activities. While the focus of the insight is on order management system migration, the same checklist can be used (with minor adaptations) for any transformation projects within the service providers’ environment.

According to Gartner, more than 83% integration/migration programs either fail/exceed schedules and exceed budget by approximately 30%.

Operational Excellence

Transforming Telecom Business Processes Using RPA

Leverage Robotic Process Automation (RPA) to accelerate business process transformation and innovation

Robotic Process Automation or RPA is widely used by companies around the globe to streamline their business processes. RPA creates software robots to automate the processes that are highly manual, voluminous, repetitive, and rule-based. Process automation increases work quality, minimizes errors, and allow organizations to scale rapidly.

The service provider’s operational landscape has many mundane processes like service fulfillment, service assurance, billing, revenue management, and network management. By adopting RPA, service providers can quickly and easily automate the manual and tedious processes, without much investment or hassle. As a result, service providers can reduce cost, improve data quality, boost customer service, and drive operational efficiency.

Figure 1: Some examples of processes from the Order-to-Activate(O2A) cycle suitable for RPA

RPA is being widely accepted across industries and serves as a guide to help service providers in their RPA implementation, right from business process assessment till rollout. Topics covered in the insight:

  • Why is RPA becoming popular in the telecommunication industry?
  • Preview of telecom processes with RPA potential
  • The RPA journey of a communications service provider – How to implement RPA successfully?
  • Common challenges faced during RPA implementation

By 2025, 3 out of 10 jobs will be done by software, robots, or smart machines allowing replaced employees to do more crucial jobs. -Gartner.

Operational Excellence

Data-driven Process Optimization to Accelerate Digital Transformation

With most Digital Service Providers (DSPs) investing in digital initiatives today, transformation is no longer a choice but a must-have!

According to a Celonis study, “Most organizations are struggling with transformation initiatives because they are diving into executions without understanding what to change first. In a rush to innovate, 82% admit that they do not review their internal business processes while setting initial goals for a transformation program”.

Also, DSPs experience increasing process inefficiencies due to the ever-changing landscape. Traditional approaches to handling these processes are more focused on process discovery. They do not provide an accurate view of these processes and the real bottlenecks. Hence DSPs need to embrace a data-driven process optimization approach to look beyond discovery.

This whitepaper details on leveraging a process optimization framework for the DSPs to set business objectives across the transformation journey. It helps identify critical processes, accelerates cost savings by 60%, and improves customer satisfaction by 30%.



Fig. Key steps of process optimization approach

Operational Excellence

Robotic Process Automation: The key to accelerate digital transformation

To stay relevant in today’s digital world, the service providers in the connectedness industry should simplify their business and transform themselves into a digital organization.

The road towards digital transformation is a business-critical one, and the service providers embarking on this journey will need to consider how each aspect of their business can be optimized to fulfill the new digital objectives. To optimize the existing processes and keep pace with the competition, service providers should bring the power of RPA in digital transformation.

Automation is not new and Robotic Process Automation (RPA) with its highly evolved level of sophistication, has made it a lot easier to automate processes across a variety of systems and technologies and reap tangible ROI in a very short time. RPA is a delightful journey, and the end-to-end lifecycle needs to be planned across the below phases to accelerate digital transformation.

To optimize the existing processes and keep pace with the competition, service providers should bring the power of RPA in digital transformation.

Operational Excellence

Increasing the pace of your process automation programs

Leverage bot development framework to empower RPA Centre of Excellence with bot velocity

Most service providers across the globe have been leveraging robotic process automation (RPA) to increase their operational efficiency and are at different stages in their journey. RPA helps an organization automate repetitive and mundane tasks using the development and deployment of bots or software robots.

But scaling RPA and increasing bot velocity to make it an organization-wide success is a big challenge. One definite solution to this challenge is setting up a robust RPA Centre of Excellence, which not only defines the best practices but also strives to achieve the organization’s goal.

An ideal RPA CoE has the following 7 components:

This insight focuses on the third component, i.e., bot development, specifically on the bot development framework. It throws light on best practices to create a robust development framework for driving bot velocity by standardizing development across the organization. By following these guidelines, organizations can reduce the bot development, testing, deployment, and review time.

A robust bot development framework helps in reducing development, testing, deployment, and review time by 30%

Digital Customer Experience

Personalizing the customer experience: The key to shaping the future of service providers

In today’s digital world, the success of every service provider in the connectedness industry depends on the experience it provides at every point of customer interaction. But the evolution of customer behaviors and expectations has made it difficult for the service providers to maintain customer loyalty.

According to Gartner, “Despite a mandate to create a differentiated and innovative customer experience (CX) strategy that will drive business growth, over 70% of CX leaders struggle to design projects that increase customer loyalty and achieve results”. Hence to overcome the paradigm shift in customer interactions, service providers need to reimagine customer experience by embracing the ongoing technological advances.

This whitepaper details how service providers can deliver a personalized CX across customer journeys. Further, it elaborates the three key imperatives to create a unique strategy and reimagine customer experience. Service providers must leverage the key imperatives with the power of the cloud, data science and AI to achieve digital transformation and customer delight.

Fig.Reimagining CX with 3 key imperatives

To overcome the paradigm shift in customer interactions, service providers need to reimagine customer experience by embracing the ongoing technological advances.

Operational Excellence

Accelerating Digital Transformation with Hyperautomation

Leverage the power of RPA, process mining and AI for end-to-end process automation to increase automation rate, reduce operational expenditures and improve customer experience

‘Hyperautomation’ is one of Gartner’s Top Strategic Technology Trends for 2022. Hyperautomation aims to identify, analyze, and automate business processes to the greatest extent possible. It involves orchestrating the use of multiple technologies, tools, and platforms to streamline business processes.

Legacy infrastructure and outdated processes can hinder an organization’s ability to compete. Automation of only task-based processes will not deliver the cross-functional results needed to drive business decisions and outcomes. By automating as many processes and tasks as possible, hyperautomation transforms an organization.

Increase connectivity, efficiency, and agility in business operations with hyperautomation.

As per Gartner, hyperautomation will lower operating costs by 30 percent or more by 2024, thereby increasing connectivity, efficiency, and agility of business operations. The businesses in the connectedness vertical can achieve end-to-end process automation and scale up the automation rate by building and implementing a hyperautomation framework that includes four key components:

  • Intelligent Process Orchestrator: Orchestrates bots, people, and IT applications for end-to-end integration of any business process.
  • Conversational AI: Automates all sub-processes that requires a conversation with humans. Conversational AI understands natural language and converses with the customer.
  • Low-code Applications: Helps to automate the sub-processes that require aggregating data from humans by building applications/interfaces rapidly.
  • Unified Hybrid Dashboard: Provides a real-time integrated view of the order completion process, resolution time, automation success rate, and many other KPIs. It also highlights the actionable insights.
Operational Excellence

Shift gears to an automated RPA code review for faster development of bots

Most service providers in the connectedness industry have started leveraging Robotic Process Automation (RPA) to streamline their business processes. Standardizing the bot development process and scaling the bot velocity are the most important goals of any RPA Center of Excellence (CoE). One of the major roadblocks faced in this mission is the manual review of the RPA code, which is a highly tedious task. It is not only cumbersome but also time-consuming and prone to errors. Although the RPA code review process is of utmost importance to reduce post-deployment defects and costs, the manual approach is crippled with challenges and is highly inefficient.

To overcome these challenges, service providers should automate the code review process. To achieve this, service providers can leverage a platform-agnostic RPA code reviewer bot that can review

  • Hundreds of variables, arguments, activities and message boxes
  • The logic for exception handling, custom logging, queues and credential management

Fig. Leveraging code reviewer bot to automate RPA code review process

Although the RPA code review process is of utmost importance to reduce post-deployment defects and costs, the manual approach is crippled with challenges and is highly inefficient.

Operational Excellence

Optimizing RPA implementation with increased automation potential

A lot of players in the connectedness industry have started embracing Robotic Process Automation (RPA) to automate different tasks across various systems and streamline their business processes. However, service providers are still finding it difficult to optimize one of the most important success factors of RPA implementation – the automation potential. Incidentally, the answer to this challenge lies in the initial steps of the implementation roadmap itself.

An ideal RPA implementation roadmap consists of seven steps, from Proof of Technology (PoT) to the actual go-live of RPA. The key to increasing the automation potential of any process lies in effectively performing the first 3 steps – Proof of Technology, Process Assessment, and Input Standardization. This insight elaborates on specific tools and techniques to excel in these steps and increase the automation potential by 25%.

One of the most important success factors of RPA implementation is increasing its automation potential.