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Custom Models in Action

Tapping into Unlimited Possibilities

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Medical Summarization

ML models powered by WNS SKENSE integrate with Gen AI and enable healthcare companies to quickly go over medical history and lab results to accurately generate medical summaries, offer diagnoses and identify the relevant medical codes instantaneously.

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Subrogation

An advanced NLP model that is ingested with insurance domain knowledge pinpoints subrogation opportunities and total loss cases with unrivalled accuracy; and Generative AI-powered recommendations offer optimal next-best actions.

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Knowledge Assistant

A next-generation knowledge engine addressing the complexities of the travel domain pairs up with Gen AI to provide instant and tailored responses to customer queries with improved accuracy and efficiency, thus enhancing customer experience.

 

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Differentiators

WNS-Triange-ai

WNS Triange’s Consulting Framework

WNS Triange (Data, Analytics and AI Practice of WNS) enables organizations to build a robust AI foundation by offering guidance on use cases, strategic planning and best practices for leveraging LLM

Capability-Contextualize-ai

Capability to Contextualize LLM

Contextualizing LLM by integrating them with industry-specific AI / ML models, deploying them in client environments, and leveraging our deep domain knowledge to design efficient prompts for extracting high-quality outputs while being cost-efficient

WNS-Proprietary-ai

WNS Triange’s Proprietary AI / ML Models

Proprietary, industry-specific pre-built AI / ML models ready-for-use with Gen AI

Application-Development-ai

Application Development Capability

Expertise in building analytics applications to operationalize and scale up the models which are tailored for business use cases

WNS-Triange-Gen-ai

WNS Triange’s Gen AI-powered AI / ML Platforms

Plug-and-play industry and function-specific platforms for clients to customize and achieve speed-to-value from their Gen AI journeys

Data-Security-ai

Data Security and Compliance

Built-in safeguards including explainability, data privacy and security for regulatory compliance, bias mitigation and ethical use of AI

Our Growing Landscape of Generative AI Use Cases

Here’s a glimpse of the wide range of Gen AI use cases we offer, and our portfolio continues to grow with innovative applications across industries and functions.

Vendor-Management

Vendor Management

Communicate with suppliers, answer RFP questions, negotiate terms and provide performance feedback

Contract-Management

Contract Management

Provide insights into contract terms, identify potential risks and opportunities and suggest ways to optimize a contract

Summarization-tech

Summarization of Technical Content

Summarize internal company documentation, customer conversation transcripts, technical reports and product reviews

Gen-AI-powered

Gen AI-powered Chatbot for
Customer Service

Retrieve answers from trusted sources like internal company documentation, knowledge base and historical transactions

Synthetic-Data

Synthetic Data Generation

Paraphrase content to augment social media feeds, conduct customer-specific sentiment analysis models for better performance

Logistics-Operations

Logistics and Operations

Track and trace patterns and trends associated with crucial performance indicators, such as revenue leakages, delivery times and quality issues

Complaints-Management

Complaints Management

Efficiently manage property claims by classifying the claims, mapping them to SOPs for action triggers, and providing customized responses for resolution and loyalty

Cognitive-Research-Assist

Cognitive Research Assist

Improve research quality in information processing industries for faster resolutions and quicker next-best-action

Adverse Media Screening

Adverse Media Screening

Evaluate accurate flagged transactions and customer data from multiple sources to automatically identify risks or confirm suspicious activity in banking, thereby improving true positive detection

Vehicle-Condition-Reporting

Vehicle Condition Reporting

Automate vehicle condition reports, analyze images, data and history, and create virtual showcases for remote incident exploration, accelerating the claims process

Cognitive-Risk-Assistance

Cognitive Risk Assistance

Automate risk assessment, conduct cognitive research, extract relevant details and create appropriate responses in predefined formats

Journal-Entry-Anomaly-Detection

Journal Entry Anomaly Detection

Automate and classify journal requests from unstructured e-mails, generate business rules, perform anomaly checks with high accuracy and efficiency, and eliminate exceptions

Byte-Size Perspectives: Executive Insights on Generative AI

Keshav Murugesh red-play-btn
Keshav Murugesh

Group CEO

Sanjay Jain red-play-btn
Sanjay Jain

Chief Business Transformation
Officer

Akhilesh Ayer red-play-btn
Akhilesh Ayer

Head, WNS Triange

Adrian McKnight red-play-btn
Adrian McKnight

Chief Digital Officer

Co-create Your Gen AI Journey with Us