EdgeVerve and Telstra


EdgeVerve, a wholly-owned subsidiary of Infosys, has designed five “Art of Possible” for Telstra based on our experience of working with other telecom customers. We have taken this initiative as Infosys has a strategic engagement with Telstra; we believe that our partnership can add exponential value in making the T22 program successful by bringing in domain capability and the right set of software products.

EdgeVerve has been helping Telstra in their digital transformation journey with technologies like Robotics Process Automation (RPA) and Artificial Intelligence (AI). We have deployed our products and platforms in multiple lines of business, like Retail (B2C), Global Business Services (GBS), and Digital & Wholesale, and created an impact as below:

These “Art of possible” can be extended to other business functions as well as line of businesses (LOB) where RPA & AI have not been envisioned. We see a tremendous potential that technologies like RPA and AI can bring in terms of “digitization,” “simplification,” and “cost reduction.” With these, we want to be part of Telstra’s journey, enabling a “Network of Possibilities” for your customers by implementing the best technology.

The Art of Possible

  • Identify revenue leakage
  • Mitigate Supplier Risk
  • Simplify M&A integration
  • Power process excellence
  • Turbocharge business operations
Identify revenue leakage

Favorable clause extraction with AI to identify revenue leakage


Large telcos, such as Telstra, work with multiple suppliers, partners, distributors, retailers, customers, and workforce for different services. Contract negotiation, tracking & review — a manually intensive process — is a key activity involving a big team of lawyers and process SMEs.

Analyzing commercial leasing contracts (generally available as scanned documents) uploaded in CLM remains a manually intensive process. These contracts determine how business is conducted and governed by the law of the land. Failing to understand legal obligations could lead to legal issues and unnecessary expenses.

Moreover, a failure to maintain effective control processes over contracts could lead to violations, unintentional or otherwise, of laws and regulations. Legal claims or regulatory enforcement actions arising out of failure or alleged failure to comply with applicable laws and regulations could damage and adversely affect organizational reputation.

With the help of technologies like Artificial Intelligence (AI), Natural language processing (NLP), and computer vision, contract review and analysis are being transformed. Due to this, enterprises can negotiate and utilize discounts on their supplier contracts, could unlock a substantial amount of revenue, and redirect the capital towards business-intensive activities, which is often an opportunity often lost due to oversight.

Enabled by Nia Contracts Analysis

Nia Contracts Analysis, an enterprise-grade AI offering, leverages advanced Machine Learning techniques to help customers across industries to derive insights from their contracts and legal documents.

Success Stories

60%
Productivity increase

98%
Accuracy in contract clause extraction

$100 Mn
Projected savings

Mitigate Supplier Risk

Unearth hidden clauses in supplier contracts with AI to mitigate risk


Analyzing supplier contracts (generally available as scanned documents) uploaded in CLM remains a manually intensive process. These contracts determine how business is conducted and governed by the law of the land. It also has many clauses that may be hidden; hence any risks associated with certain suppliers may not have been picked, leading to legal issues with suppliers and unnecessary expenses managing them.

Moreover, a failure to maintain effective control processes over contracts could lead to violations, unintentional or otherwise, of laws and regulations. Legal claims or regulatory enforcement actions arising out of failure or alleged failure to comply with applicable laws and regulations could damage and adversely affect organizational reputation.

With the help of technologies like Artificial Intelligence (AI), Natural language processing (NLP), and computer vision, enterprises can identify the risk associated with any suppliers from the hidden clauses of respective contracts and help mitigate it.

Enabled by Nia DocAI

Nia Contracts Analysis, an enterprise-grade AI offering, leverages advanced Machine Learning techniques to help customers across industries to derive insights from their contracts and legal documents.

Success Stories

10X
Productivity increase

60%
Cycle time reduction

24K+
Contracts processed

Simplify M&A integration

Enable seamless integration post-M&A with AI


Enterprises have multiple integration issues post any M&A activity, especially due to challenges in dealing with acquired customer contracts. Once the M&A occurs, enterprises need to carry out below steps to understand the acquired entity:

Artificial Intelligence (AI) can act as a bedrock for any M&A analytics platform by helping in contract digitization, building a custom analytics dashboard, and identifying non-compliant. It can help enable digital transformation for CFOs by digitizing their customer hardware and software contracts and linking it to their ERP data to help prevent revenue and spend leakages, ensuring contract compliance, reducing legal risks, and quick visibility into non-standard language. It also acts as foundational support for enterprises’ analytics platform, which will help them to seamlessly integrate their next acquisition and save their post-M&A effort to streamline finance operations.

Enabled by Nia Contracts Analysis

Nia Contracts Analysis, an enterprise-grade AI offering, leverages advanced Machine Learning techniques to help customers across industries to derive insights from their contracts and legal documents.

Success Stories

70%
Projected savings of integration effort

~$10M
Potential savings in processing costs

~$20M
Potential savings in revenue leakage

Power process excellence

Enable key process insights to discover new possibilities


Enterprises spend considerable time and effort to make their processes faster, better, and more efficient. Identifying critical business processes and understanding them requires significant manual effort. Also, manual analysis of processes is prone to errors and introduces human bias. One can simplify this with a process discovery tool that automatically captures user-application data in a non-intrusive manner and then converts it into insightful business process maps using AI.

An industry study indicates that wrong process selection and gaps in process knowledge are the key challenges in implementing automation at scale. With RPA making inroads into enterprises, identifying the right process for automation, understanding exceptions, and improving the quality of captured data are some of the challenges enterprises need to address to make the automation program a success.

Process mining can solve complex business process management issues; it’s no magic bullet but helps understand existing processes and identify patterns & variations in the “as-is” process. With process discovery and mining techniques gaining increased attention, enterprises today are keen to explore data-driven insights to streamline operations.

An AI-based technology, Process Discovery, enables an enterprise to capture task-level data, wherein this granular information is the key to unlock the true value of automation. Process mapping and resource productivity are inextricably linked, enabling businesses to prioritize strategies to improve resource efficiency and productivity.

Enabled by AssistEdge Discover

AssistEdge Discover, a leading process discovery product, captures and leverages user’s digital interactions to create business process maps and transformational insights that aid organizations in process improvement, automation, and efficiency.

Success Stories

Transactions recorded of legacy applications

Generating business insights

Creating Automation blueprint

Turbocharge business operations

Accelerate and scale RPA program to improve business operations


The new wave of digital transformation is driven by the need to reduce operating costs and improve productivity in the face of global economic slowdown, thinning margins, and above all, the need to build resiliency to overcome disruptions.

These can be achieved by building an enterprise-wide Intelligent Automation strategy to unearth new possibilities and realize benefits from the automation program.

For an organization like Telstra, which is considerably ahead when it comes to automation, the ability to scale with assured business outcomes can fuel the next wave of digital transformation.

RPA-as-a-Service (RPAaaS), an outcome-based model, can amplify business value and safeguard automation goals.

The automation of back-office processes in functions such as procurement and F&A can drive higher productivity, accuracy, reliability, availability, and increased performance. In addition to productivity gains, enterprises will also be able to elevate process execution quality and consequently reduce operating costs.

Enabled by AssistEdge

AssistEdge offers a cohesive automation platform that enables enterprises to scale in their automation journey. It offers enterprises a comprehensive suite of products enabling them to drive initiatives around process discovery, intelligent automation, and digital workforce orchestration.

Success Stories

$2 Mn
Value realized through processes automation

10 Bn
Transactions to be processed in 3 yrs

350
Processes to be automated

Our Journey So far

Journey so far

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