Direct answer

What are the biggest challenges when implementing AI projects for Indian businesses?

The biggest challenges include parsing unstructured data from regional formats (PDFs, scanned invoices, WhatsApp exports), dealing with inconsistent data governance across different offices, integrating with legacy systems like 15-year-old ERPs or CRMs, and handling vernacular language inputs and regional transaction patterns that can break systems during UAT.

1 Apr 2026
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Short answer

The biggest challenges include parsing unstructured data from regional formats (PDFs, scanned invoices, WhatsApp exports), dealing with inconsistent data governance across different offices, integrating with legacy systems like 15-year-old ERPs or CRMs, and handling vernacular language inputs and regional transaction patterns that can break systems during UAT.

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What are the biggest challenges when implementing AI projects for Indian businesses?

The biggest challenges include parsing unstructured data from regional formats (PDFs, scanned invoices, WhatsApp exports), dealing with inconsistent data governance across different offices, integrating with legacy systems like 15-year-old ERPs or CRMs, and handling vernacular language inputs and regional transaction patterns that can break systems during UAT.

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