Autosphere iRPA on AWS for Telecom Enterprise Automation - Autosphere iRPA on AWS for Telecom Enterprise Automation
Introduction Are you Well-Architected?

Autosphere iRPA on AWS for Telecom Enterprise Automation

Publication date: September 6, 2023 (Document history)

Communications service providers (CSPs) are transforming into digital service providers (DSPs) by digitizing their networks, operations, and services. Becoming a DSP requires modernizing a CSP's enterprise IT application, including operations support systems (OSS) and business support systems (BSS) with intelligent Robotic Process Automation (iRPA). Many service ideas in the 5G era are moving beyond just network connectivity to become end-to-end solutions to business problems. This means all installed systems must be adapted and automated to address both business to business (B2B) and business to customer (B2C) audiences, in addition to the business to exchange (B2X) customer base the systems were originally designed to serve. Success for IT depends on great customer experiences, often delivered using complex digital services with deep integrations to cognitive capabilities. This whitepaper outlines how Autosphere used AWS to build their end-to-end automation platform on Amazon Web Services (AWS).

Introduction

Hyperautomation is a business-driven, disciplined approach CSPs can use to identify, refine, and automate as many business and IT processes as possible. Automation bots and intelligent workflows offer the ability to optimize the use of existing staff, processes, and technologies to deliver efficient operations for a sustainable, competitive advantage. Hyperautomation involves the orchestrated use of multiple technologies, tools, or platforms, including but not limited to robotic process automation (RPA), data engineering, and cognitive artificial intelligence (AI) and machine learning (ML) to deliver a seamless experience to customers.

Traditionally, robotic process automation uses programmable bots to automate tasks. Automation bots can be classified as either assisted or unassisted, depending on the complexity of automations:

  • Assisted bots use a pretrained set of activities, and complete them as a set of tasks.

  • Unassisted bots are autonomous; they use ML techniques to solve business challenges.

These bots are programmed to offer intelligent workflows that use existing staff, processes, and technologies to deliver efficient operations and a sustainable competitive advantage. At a macro level, hyperautomation takes traditional robotic process automation, deeply integrates with data pipelines, and uses the power of AI/ML to drive automation and derive insights.

Diagram showing intelligent hyperautomation core tenets

Intelligent hyperautomation core tenets

Hyperautomation empowers robotic bots with cognitive science which use AI and ML to deliver excellence in IT operations. A combined architecture with a solid automation framework team unifies to create automation capabilities that enable scale, and a hyper-efficient and effective operating model. This delivers great customer experiences supporting a wide range of use cases, such as intelligent document processing, virtual agents for contact centers, BSS integration automations, and network-level optimizations for OSS modernizations with measurable business outcomes.

Are you Well-Architected?

The AWS Well-Architected Framework helps you understand the pros and cons of the decisions you make when building systems in the cloud. The six pillars of the Framework allow you to learn architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable systems. Using the AWS Well-Architected Tool, available at no charge in the AWS Management Console, you can review your workloads against these best practices by answering a set of questions for each pillar.

For more expert guidance and best practices for your cloud architecture—reference architecture deployments, diagrams, and whitepapers—refer to the AWS Architecture Center.