Adopting AI doesn’t start with a grand strategy — it starts with one well-chosen use case done properly. Here’s a practical five-step path for an Indian business. (dgm implements osFoundry, a separate company’s platform — dgm is an independent integration partner, not osFoundry. General information, not professional advice.)
Step 1: Pick one high-value, low-risk use case
Resist “do AI everywhere.” Choose one painful, high-volume task — document processing (OCR), a vernacular support assistant, reconciliation. See AI for SMEs for examples.
Step 2: Define a measurable baseline
Record today’s hours, error rate or turnaround for that task, so you can prove improvement (see AI ROI).
Step 3: Connect it to your real data and systems
This is the step that decides success. AI grounded in your actual data and systems gives relevant results; disconnected tools give generic output. Integration is the hard, valuable part.
Step 4: Build in data control from the start
Identify the personal or financial data involved, apply DPDP-aligned consent and control, and prefer self-hostable deployment for sensitive data (see DPDP-compliant AI). Retrofitting governance later is far harder.
Step 5: Prove value, then scale
Measure against your baseline. If it works, expand to adjacent use cases — see managing AI projects and change management.
How dgm helps
dgm supports each step: a $399 assessment to pick and scope a use case, then implementation on osFoundry connected to your systems with India data control, for $3,999/month (INR approximate; 18% GST domestic). We prove value on one use case before scaling.
General information, not professional advice.