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Events

Roundtable co-hosted by WNS with Financial Times

  • December 2, 2025

  • Ritz-Carlton, San Francisco

Artificial Intelligence

About This Event

Topic: Embedding AI at the Enterprise Level

Overview

AI adoption is accelerating across digital platforms, bringing new trust risks and reshaping how services are built, delivered and governed. Fraudulent accounts, deepfakes and misinformation are challenging platform integrity, even as regulators in 60+ countries introduce frameworks around identity, safety and data use. With Gen AI moving from experimentation to real-world deployment, leaders must balance growth with trust – protecting users, meeting regulatory expectations and scaling responsibly. That means tackling fake accounts and fraud, enabling seamless, real-time verification, and using AI-enabled workflows that support AML, GDPR and age checks with human oversight where it matters most.

WNS, in partnership with the Financial Times, is convening a closed-door roundtable of senior executives to examine how platforms can strengthen trust and scale AI responsibly. The discussion will focus on the organizational, regulatory and operational questions that leaders must address to embed AI across their businesses in a way that is compliant and impactful.

Key Discussion Points:

  • How are leading platforms tackling fake account creation, deepfakes and identity fraud, while ensuring seamless, real-time verification that does not undermine user experience?
  • How can organizations navigate evolving regulatory requirements with agility and assurance?
  • To what extent can AI-enabled trust workflows replace manual checks, and where must human reviewers remain essential to maintain integrity at scale?
  • How can platforms secure the high-quality training data and annotation needed to fine-tune or evaluate models in sensitive domains such as user safety, policy and personalization?
  • What role should human oversight play in testing model outputs for bias, factual accuracy and safety and how can metadata improve accountability and trust?
  • When should human reviewers remain in the loop and how can these interventions be used to strengthen models through reinforcement learning from human feedback?

Moderators:

Himanshu Bhardwaj

Himanshu Bhardwaj
Business Unit Head, Hi-Tech and Professional Services, WNS – Part of Capgemini

George Hammond

George Hammond
Venture Capital Correspondent, FT

Know more about our offerings:
https://www.wns.com/industries/hi-tech-and-professional-services

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