Beyond the Sprint: A New Operating Model for AI-Native Software Delivery

AI is now writing code faster than any sprint can absorb. In AI-native software delivery, the harder question is no longer how quickly code is produced, but how quickly it can be trusted.

This joint whitepaper from Hexaware and Information Services Group (ISG) explains why sprint-based delivery strains as AI accelerates implementation, and sets out what comes next: Convergence Engineering, a new operating model where every change moves when it is ready and sufficiently trusted, not when the calendar says so. It is written for leaders already investing in AI-assisted software development who want speed without losing control.

What You’ll Get

• Why AI-assisted software development moves the bottleneck from coding to trust
• The six places where sprint-based software delivery breaks at machine speed, and why shortening the sprint does not fix it
• A clear view Beyond Agile: the Convergence Engineering operating model, its four loops and the Trusted Change Package
• How code verification becomes independent, risk-proportionate and part of the delivery flow
• Governance that scales: pre-authorization by risk profile, gradual release and measuring real value instead of shipping speed
• A realistic transition path from Agile, the typical gains noted at each loop, and a cost model that goes beyond hours

Download the full whitepaper from Hexaware and ISG to explore the operating model, the Trusted Change Package and the transition path in detail. The bottleneck has moved. Your software delivery should move with it.

Authors:

• Sanjay Salunkhe, President & Global Head, Digital & Software Services, Hexaware
• Steve Hall, Chief AI Officer, ISG