Direct answer

Why do AI project timelines often get delayed in Indian implementations?

Timelines stretch not during model building but when trying to integrate AI with legacy systems, which requires building custom middleware. This unplanned work often pushes go-live dates back by a quarter or two, as teams spend months on data parsing, model retraining cycles, and system integration rather than the core AI development.

1 Apr 2026
ai_solutions

Short answer

Timelines stretch not during model building but when trying to integrate AI with legacy systems, which requires building custom middleware. This unplanned work often pushes go-live dates back by a quarter or two, as teams spend months on data parsing, model retraining cycles, and system integration rather than the core AI development.

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Why do AI project timelines often get delayed in Indian implementations?

Timelines stretch not during model building but when trying to integrate AI with legacy systems, which requires building custom middleware. This unplanned work often pushes go-live dates back by a quarter or two, as teams spend months on data parsing, model retraining cycles, and system integration rather than the core AI development.

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