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Why The Future of AI Belongs to the Teams Who Deliver It: Q&A with the CEO of Rocketlane, Sri Ganesan

Srikrishnan Ganesan, CEO of Rocketlane, discusses modern delivery operations and the future of services and delivery.

EBy Eleanor TateDec 09, 20251 min read

Srikrishnan Ganesan, CEO of Rocketlane, discusses modern delivery operations and the future of services and delivery.

Rocketlane, founded by Sri Ganesan, is a platform focused on unifying customer collaboration, delivery execution, and services operations. It addresses challenges related to scaling, such as opaque implementations and misaligned expectations. The platform is designed to create a transparent workspace for both front office and back office needs.

AI's return on investment is primarily achieved through workflow redesign rather than using novelty tools. Re-architecting processes and integrating AI into end-to-end workflows can lead to significant productivity and quality improvements.

Services as the Next Wave of AI Growth

The next phase of AI growth is expected to be driven by services rather than software. Context-dependent AI value requires services such as discovery, re-engineering, and change management to achieve durable ROI.

Common obstacles include change debt, data debt, and adoption debt. Organizations that treat AI like a product, with clear goals and ownership, tend to see better returns. Leadership engagement is also critical for maintaining momentum and realizing value.

Srikrishnan Ganesan, CEO of Rocketlane, discusses modern delivery operations and the future of services and delivery.
Eleanor Tate · Thehackingpost

Post-sale delivery is a competitive differentiator, bridging the gap between product and promised outcomes. An efficient implementation timeline can enhance customer perception and value realization.

AI is enhancing services by automating tasks such as documentation and data transformation, allowing experts to focus on higher-order problem-solving. This results in shorter cycle times and improved utilization.

Intelligent delivery involves a combination of professionals and AI agents working together on various tasks. This enables parallel workstreams, reducing project timelines and enhancing quality.

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By 2026, companies are expected to scale AI through repeatability and embedded intelligence. Rocketlane aims to support this era with structured knowledge and workflows, facilitating faster delivery and value realization.

Effective delivery and knowledge access are crucial for leveraging AI's potential, transforming services into a strategic advantage with faster value delivery and tailored customer experiences.

Based on reporting by TechBullion.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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