Most AI disappointments in India come not from bad technology but from a handful of avoidable mistakes. Here are the big ones — and how to sidestep them. (dgm implements osFoundry, a separate company’s platform — dgm is an independent integration partner, not osFoundry. General information, not professional advice.)
Mistake 1: tools before a use case
The classic — subscribing to AI tools because of hype, then hunting for value. Technology in search of a problem rarely pays off. Fix: start from a real, measurable use case and choose tech to fit it (see how to adopt AI).
Mistake 2: disconnected AI
Deploying AI that isn’t integrated with your data and systems produces generic output staff quickly distrust. Fix: ground AI in your actual documents, CRM and ERP — integration is what creates value (see RAG on your data).
Mistake 3: data and compliance as an afterthought
Running AI on personal or financial data without consent or control creates compliance risk and rework. Fix: build DPDP-aligned governance and self-hosting from the start (see the data-protection checklist).
Mistake 4: skipping change management
Focusing on technology and forgetting the people. Untrained, unconvinced staff don’t use the tool, so value never lands. Fix: invest in change management and training.
Mistake 5: chasing grants instead of value
Waiting for funding that won’t come instead of starting on a high-value use case.
How dgm helps
dgm helps avoid these by scoping a real use case in the $399 assessment and integrating properly from the start on osFoundry ($3,999/month; INR approximate, 18% GST domestic).
General information, not professional advice.