Orchestrating Autonomy at Scale with Agentic AI

Autonomous AI agents meet domain excellence to deliver smarter businesses at scale.

How WNS Accelerates
Your Agentic AI Journey

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Consulting to Execution
A domain-driven approach to identify right-fit Agentic AI use cases, safe autonomy levels and operational guardrails
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Pre-built, Domain-trained AI Agents
Cloud-native, reusable agents across insurance, healthcare, finance, retail and more, deployed via hyperscaler marketplaces
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Technology Partnerships
Access to best-in-class frameworks, tools and accelerators through strategic alliances with hyperscalers and AI innovators
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Human Oversight
Domain experts providing rigorous design, testing and supervision to ensure accountability and alignment
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AI Lab Innovation
Continuous experimentation and prototyping to keep solutions relevant, scalable and future-ready

Purpose-built Use Cases.
Real-World Impact.

From forecasting demand to managing claims, WNS Agentic AI powers complex workflows with autonomy, accuracy and agility.

Demand Forecasting
Pricing engine
Fraud analytics
Marketing spend optimization
Vehicle damage detection
Credit risk report generation
Price elasticity analysis
FNOL - Claims
processing
Knowledge
Management

WNS Agentic AI Solutions
in Action

Intelligent Data Extraction

Transforms unstructured data into contextual insights across industries.

Outcomes:

85% faster report generation, 99% data accuracy, 92% cost reduction

SKENSE

Autonomous Shipping Platform

Manages workflows, from documentation to routing.

Outcomes:

70–90% digitization of shipping operations across logistics lifecycles

WNS Malkom

Modular Travel Assistant

Automates bookings, disruptions and policy exceptions.

Outcomes:

65–75% reduction in agent intervention using Gen AI + Agentic AI

Travel Buddy

Unified Enterprise Intelligence

Consolidates fragmented content into intelligent, queryable knowledge hubs.

Outcomes:

Faster, more accurate decisions and consistent enterprise learning

Knowledge Solution

Customer Analytics Platform

Analyzes customer interactions to predict intent and recommend next-best actions.

Outcomes:

95% accuracy in sentiment detection, 4–5% AHT reduction, NPS uplift

Fathom+