From Al pilots to enterprise muscle

AI is finally growing up. This piece explores how enterprises are moving past endless pilots to build AI that actually works at scale, reshaping workflows, platforms and decision-making so intelligence becomes embedded, repeatable and real

- BHARTI TREHAN

Tiger Analytics has undergone a major evolution, transforming itself from an analytics specialist into a full-stack AI transformation partner capable of engineering end-to-end value. In an extended conversation, Senganal Thirunavukkarasu, Head of Enterprise Tech, and Harish Seetamaraju, Senior Director, Analytics Consulting, outlined how Tiger Analytics is redesigning AI delivery models, enabling enterprises to scale generative and agentic AI far beyond prototypes.

Their central thesis: AI impact comes only when enterprises integrate data, engineering, platforms, applications and change management holistically. AI cannot sit in isolation; it must be woven into processes, decisions and the enterprise operating model itself.

AI strategy must translate to business value: Not just model accuracy

Harish sets the context for Tiger Analytics's shift: “We were offering a lot of pointed AI solutions. Today, we have expanded our services across the full stack to engage with our customers more as a transformation partner.

Simply building a model is not enough. If upstream pipelines fail or downstream user experiences are disconnected, value collapses.

Harish explains this with a demand forecasting example: “Somewhere something breaks upstream, that breaks the whole experience, the model will still run with that data, but the output is no longer meaningful.”

The remedy? Stream-aligned, cross-functional pods.

Senganal elaborates: “A better approach is a team that is stream-aligned, all focused towards a certain business goal. Having this ownership across the entire value chain makes it possible to iterate faster and build better solutions.”

Tiger’s engineering practice intentionally merges the software engineering discipline with AI development, a crucial differentiator in an industry still dominated by siloed functions.