An internal AI chatbot — one that actually answers staff questions from your policies and systems — is among the most practical first AI projects. Here’s how to build one in India. (dgm implements osFoundry, a separate company’s platform — dgm is an independent integration partner, not osFoundry. General information, not professional advice.)
What it does
It answers staff questions — HR policy, IT how-tos, processes, company data — from your real documents and systems, deflecting routine queries from HR, IT and other teams. Its usefulness depends on being grounded in your actual, current content.
Grounding plus access control
The two safeguards that make it trustworthy:
- Grounding — RAG so it answers from your real policies, not generically, and escalates uncertain questions;
- Access control — it uses only data a user may see.
A grounded bot is accurate; a disconnected one invents answers.
Vernacular for Indian workforces
Routing to Indic-capable models lets staff ask in regional languages (multilingual AI) — serving distributed and field workforces far better than an English-only bot, and increasing adoption.
The data dimension
It touches employee and company data under the DPDP Act, so use DPDP-aware, controlled, self-hostable deployment (see data protection checklist).
How dgm helps
dgm builds internal chatbots on osFoundry — grounded in your policies and systems, permission-aware, vernacular-capable, self-hostable for India data control — for a $399 assessment and $3,999/month (INR approximate; 18% GST domestic). Accuracy and data control first, with humans handling escalations.
General information, not professional advice.