Abstract

Enterprise AI is rapidly reshaping software engineering, but it also introduces a new challenge: managing AI as a variable operational cost. As organizations move from subscription-based AI tools to token-metered consumption models, every interaction, workflow, and autonomous agent contributes to AI spend. The focus is no longer just on adopting AI, but on governing it effectively.

This paper explores how enterprises can balance innovation, cost efficiency, governance, and productivity while scaling AI across engineering teams. From AI FinOps and model routing to governance frameworks, security controls, and AI-native delivery models, it provides practical guidance for building a sustainable approach to enterprise AI.

Organizations that embed governance, accountability, and operational discipline into their AI strategy will be best positioned to scale AI confidently and responsibly.

AI Blocks
Build a Scalable Enterprise AI Strategy with Governance
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Key Insights

Building the Foundations of Scalable AI

Govern AI Spend with Confidence

Build financial accountability through AI FinOps, budget controls, observability, and enterprise-wide cost governance.

Optimize AI Economics Through Model Routing

Match workloads to the right AI models to balance performance, cost, and business value.

Redesign Software Delivery for AI

Adapt SDLC processes, workflows, and engineering practices to maximize AI-driven productivity.

Establish Governance at Scale

Implement policies for data privacy, intellectual property protection, security, compliance, and auditability.

Measure What Matters

Track productivity, financial, quality, and governance metrics to ensure AI creates measurable business outcomes.

Accelerate Enterprise AI Transformation

Leverage a structured framework to assess, design, implement, and continuously optimize AI adoption.

About the Author
Srinivas Burra
Vice President, Head - Retail & CPG Business Unit, Tech Mahindra
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Srini Burra is Vice President and Head of the North America Consumer Products business at Tech Mahindra, where he partners with leading CPG companies on growth, technology modernization, and AI-led transformation. His work spans consumer goods, manufacturing, digital commerce, and enterprise platforms, with a consistent focus on turning technology investment into measurable business outcomes.

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Srini Burra is Vice President and Head of the North America Consumer Products business at Tech Mahindra, where he partners with leading CPG companies on growth, technology modernization, and AI-led transformation. His work spans consumer goods, manufacturing, digital commerce, and enterprise platforms, with a consistent focus on turning technology investment into measurable business outcomes.

His current focus is how AI is reshaping the software development lifecycle from requirements and code generation through testing, governance, and the operating models needed to sustain them at enterprise scale.

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