ANNOUNCEMENT

Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services

Gartner, Magic Quadrant for Custom Software Development Services, By Jaideep Thyagarajan, Ryan McKinney, Nathan Davie, 7 October 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Hexaware.

Whitepaper

FinOps for Generative AI & SaaS Licensing: A Three-Lens Framework for Enterprise AI Cost Optimization

Key Takeaways

– A three-lens FinOps framework targets costs across AI employees, power users, and engineering teams.
– Challenges include license sprawl, token-based pricing variability, and opaque usage patterns.
– Strategies include dynamic license pooling, usage-aligned tiering, and infrastructure right-sizing.
– The three-lens model can reduce costs 20%–40% while strengthening AI value realization.

As enterprises accelerate adoption of generative AI (GenAI), effective cost governance has become a mission-critical priority. With global AI spending surging and organizations deploying tools such as Microsoft 365 Copilot, ChatGPT Enterprise, and Azure AI Foundry, traditional cloud financial models are no longer sufficient to manage the complexity of AI-driven workloads.

This whitepaper introduces a three-lens FinOps framework designed for enterprises seeking to optimize costs across AI‑augmented employees, power‑user teams, and engineering-led AI infrastructure environments. By addressing SaaS licensing inefficiencies, role-based access needs, and high‑scale infrastructure demands, the framework delivers a structured approach to streamline spending without compromising AI performance or innovation.

Readers will gain actionable insights into emerging challenges, such as license sprawl, token-based pricing variability, and opaque usage patterns, which commonly drive escalating monthly AI costs across organizations. The paper provides practical strategies, including dynamic license pooling, usage-aligned tiering for developer tools, token‑efficiency tactics, infrastructure right-sizing, and advanced governance techniques aligned with FinOps principles.

Whether your teams are experimenting with AI or scaling enterprise-wide deployments, this guide helps leaders implement the governance, visibility, and optimization disciplines needed to maximize ROI. Organizations embracing the three‑lens model can reduce costs by 20–40% while strengthening AI value realization across business functions.

Download the whitepaper to discover how to build a future-ready, AI-optimized FinOps operating model—one that drives cost efficiency, enhances productivity, and positions your enterprise for sustainable AI-enabled growth.

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