For Indian SMEs, AI works best when it’s pragmatic — one high-value problem solved well, not a scramble to “do AI” everywhere. Here’s a grounded starting guide. (dgm implements osFoundry, a separate company’s platform — dgm is an independent integration partner, not osFoundry. General information, not professional advice.)
The highest-value SME use cases
- Document processing — digitising GST invoices and forms;
- Vernacular customer support — answering in regional languages;
- Reconciliation — finance and Tally work.
These solve concrete, repetitive problems with measurable results — far better than a generic chatbot for everything.
Start narrow, measure, expand
Pick one use case grounded in your real data, measure against a baseline, then expand (see how to adopt AI). Avoid the classic mistakes.
The honest money point
AI adoption is generally self-funded — there’s no grant that buys AI software for SMEs (see who qualifies). So cost predictability matters: one high-value use case, costs in check, no per-seat sprawl. A focused project on a high-volume task can pay back quickly.
Data control applies to SMEs too
The DPDP Act applies regardless of company size, so handle customer and financial data lawfully — controlled or self-hostable for sensitive data. SMEs don’t get a pass.
How dgm helps
dgm helps SMEs start with a scoped, affordable use case in the $399 assessment, then integrate it properly on osFoundry for $3,999/month — model-neutral, vernacular-capable, with India data control (INR approximate; 18% GST domestic). One high-value use case that pays back, not a broad rollout.
General information, not professional advice.