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, 28 September 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

Legacy System Modernization for Travel Enterprises: SaaS or Custom Rewrite with AI?

A strategic guide to selecting the right modernization path and building enterprise AI readiness safely

Key Takeaways

– Travel enterprises get a build vs. buy framework for SaaS or custom-rewrite modernization.
– Hexaware RapidX, GitHub Copilot, and Cursor cut modernization timelines by up to 50%.
– A defensible TCO analysis weighs cost, risk, and opportunity cost for travel platforms.
– CIOs and CTOs get a decision framework tied to AI-era transformation priorities.

If your core platforms still power bookings, loyalty, and operations but slow down every change request, you are not dealing with “old tech.” You are dealing with compounding constraints. This white paper breaks down legacy system modernization for travel enterprises with a decision lens that goes beyond opinion: where SaaS or custom rewrite fits, what trade-offs matter, and how AI-assisted legacy modernization can compress modernization timelines.

What you will get from this white paper:

A clear definition of “legacy” that includes monoliths, multi-instance estates, and integration choke points, not only mainframes
A practical build vs buy framework tailored to travel workflows and operating realities
How to run a defensible TCO analysis that captures cost, risk, and opportunity cost
What modern architecture needs to support enterprise application modernization and scalable AI delivery
How tools, including Hexaware RapidX, GitHub Copilot, and Cursor, compress modernization timelines by up to 50%
How to align modernization decisions to digital transformation priorities that actually move the need

Who it is for:

CIOs, CTOs, enterprise architects, and platform owners across airlines, hospitality, and travel services who need a modernization decision that stands up to scrutiny.

Download the white paper to evaluate SaaS, rewrite, and hybrid options with clarity, and connect modernization choices to AI-era requirements.

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