Indian Enterprises Reassess AI Production Architectures
In 2025, Indian enterprises rapidly piloted generative AI but found scaling to production exposed weaknesses in data foundations, cost models, governance, and operating structures, Capgemini's Nisheeth Srivastava says. He advises that early architectural and organizational choices — standardized data, shared scalable platforms, clear ownership, and robust guardrails — are essential as firms favor cloud-to-edge designs and cautious agentic AI adoption in 2026.
Key Points
- 1Reveal widespread pilot failures due to fragmented data, uncontrolled cloud costs, and weak governance
- 2Stress that early architectural choices and clear ownership determine production success and integration
- 3Advise CIOs to adopt cloud-to-edge, composable APIs, guardrails, and cost controls before agentic AI
Scoring Rationale
Actionable industry lessons for CIOs drive the score, but single-source interview and regional focus limit broad generalizability.
Sources
Public references used for this report.
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