How AI is redefining delivery in the digital engineering era

As AI reshapes software engineering, delivery models are evolving from effort-based execution to intelligent, outcome-driven systems that blend human and machine collaboration.

- By Shrikanth G

As enterprises race to reimagine their digital foundations, Shyam Enjeti, Chief Delivery Officer at Encora, is focused on how delivery itself must adapt in an Al-driven world. With over two decades of global experience across HCL Tech and several US-based technology firms, he brings a rare, hands-on perspective on building distributed, AI-enabled delivery ecosystems that bridge scale, speed, and human creativity.

In this conversation with Dataquest, Enjeti reflects on how generative Al is reshaping software engineering and redefining the role of human expertise in an increasingly automated landscape. He discusses why platform-led delivery models are emerging as a critical lever for transformation, how global engineering teams are evolving in the age of intelligent orchestration, and what it takes to balance innovation with trust, governance, and accountability. Excerpts.

How are traditional delivery models evolving in an AI-first world?

Delivery is no longer about managing linear projects with fixed handoffs. In an AI-first world, the model itself must be adaptive. We are moving from effort-based delivery to outcome-based delivery, powered by automation, predictive analytics, and self-healing systems.

For example, in software engineering, Al is accelerating requirement gathering, generating code, testing autonomously, and preventing incidents before they occur. That means the delivery model is shifting from “people writing every line of code” to “people orchestrating intelligent agents” that can generate, test, and scale solutions with far greater velocity, while exercising human judgement to ensure quality, compliance, innovation, and client satisfaction.