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Legacy infrastructure and outdated processes can hinder an organization’s ability to compete.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.

Operational Excellence

Staying ahead of security threats

Leverage Robotic Process Automation (RPA) to automate security support processes for better management of security threats

Digital security threats have become prevalent and continue to disrupt every aspect of the digital world. Increasingly sophisticated cyber criminals exploit sophisticated technology, leaving organizations feeling helpless as their confidential information and critical assets fall victim to malicious attacks. To combat the threats, service providers need to focus more on threat detection and mitigation capabilities. Furthermore, they need to focus on the related metrics such as Mean Time to Detect (MTTD) and Mean Time to Mitigate (MTTM).

Typically, a small team of technical support executives is deployed to handle the customer-facing security incidents (e.g., in the broadband service offered to residential or enterprise customers). While this team of experts is capable of handling regular day-to-day activities, it will be extremely challenging for them if there is a sudden security threat, which creates a huge volume of tickets to resolve in a short span of time.

Robotic process automation (RPA) is a great technology to handle numerous, repetitive, and mundane processes. Service providers leverage it to automate various processes like order-to-activate, assurance, fulfillment, and billing. However, using RPA to handle high volume and low-frequency security tickets is unconventional in the communications industry. This Insight discusses effective strategies for implementing RPA in the service providers’ ecosystem.

Security teams which typically tend to be smaller in size, are not equipped to handle the high volume of incidents when a major crash down occurs. Use RPA to handle high volume and low-frequency security tickets in the communications industry