Nirogidhara AI Command Center

Multi-agent AI operations platform (live) automating leads, calls, orders and delivery for a healthcare D2C brand — 2,800+ automated tests.

Nirogidhara AI Command Center is an operations platform for a healthcare D2C business, bringing leads, calling workflows, orders, payments and delivery-related work into a shared interface. Its documented architecture combines Django and Django REST Framework, a React/TypeScript frontend, PostgreSQL, Redis and Celery, with Docker Compose deployment. The central engineering concern is coordinating business work while keeping recommendations, internal actions and external provider execution distinct. The documented internal copilot can draft, summarise, score and recommend work for human review. Approved suggestions can become internal actions, with department ownership, assignments, due dates, blockers and review events. Workboard analytics and director briefings surface pending work and operational attention items. This supports a reviewable workflow from suggestion to approval to assigned internal work, rather than treating every AI output as permission to act. The repository describes integration paths for OpenAI/Anthropic model routing, Razorpay, Delhivery, Vapi and Meta services. Integration code does not mean every provider action is active. Readiness checks, dry runs, approval records, runtime flags and a global kill switch constrain execution. Several calling, messaging, payment and courier paths are gated or disabled; internal briefing and readiness screens can operate without making external provider calls. The public documentation distinguishes implemented work from deployment verification: it reports a verified read-only briefing baseline while marking newer briefing snapshot history as awaiting VPS verification. The case study therefore demonstrates orchestration, auditability and controlled automation boundaries. It does not claim unrestricted autonomous calls, payments, customer messaging or medical decision-making.

Django, DRF, React, TypeScript, PostgreSQL, Redis, Celery, OpenAI, Anthropic

AI Agents · Operations