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ERP / Voice AI / OpenAI / Next.js

ERP Software with AI Voice Flow Chatbot

A complete ERP covering HR, inventory and finance, with an integrated AI voice chatbot. Staff ask for reports, create records and move approvals forward by speaking to it, instead of clicking through five screens to do one task.

Year
2025
Engagement
ERP build with an integrated AI voice layer
Focus
Full Stack, Generative AI
Status
Delivered
ERP Software with AI Voice Flow Chatbot — architecture overview

01 — The problem

The client's operations ran across disconnected HR, inventory and finance tools. Routine work — pulling a stock report, logging leave, checking an invoice status — meant switching systems and repeating the same data entry, and the team had no single place to see what was happening.

02 — Our solution

We built one ERP with HR, inventory and finance modules on a shared data model, then layered a custom voice assistant on top. The assistant turns a spoken request into a structured action against the ERP's own APIs, so it can only do what a signed-in user is already allowed to do.

Architecture

How it works

The pipeline, step by step — from the first input to the final output.

  1. 01

    Voice capture

    Speech is captured in the browser and transcribed, then passed to the assistant with the user's session context.

  2. 02

    Intent & action

    An OpenAI-powered layer maps the request to a typed ERP action — create, query, approve or report.

  3. 03

    ERP modules

    HR, inventory and finance modules share one MongoDB data model behind role-based Node.js APIs.

  4. 04

    Real-time updates

    Socket.io pushes changes and notifications to every open dashboard as soon as they happen.

Features

What we built

HR, inventory and finance modules on one data model
AI voice assistant for reports, records and approvals
Real-time notifications across dashboards
Custom reporting
Role-based access and secure authentication
Impact

The outcomes

01

50% reduction in manual tasks

02

Voice-driven workflow automation

03

Real-time reporting across departments

04

One system instead of three disconnected tools

Engineering notes

Challenges we solved

Voice must respect permissions

The assistant calls the same authorised APIs as the UI, so a spoken command can never do more than the user could by clicking.

Ambiguous requests

When a request maps to more than one action, the assistant asks a short clarifying question instead of guessing.

Technology stack

Next.jsNode.jsPythonMongoDBSocket.ioOpenAI API
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