You will get Custom multi-agent AI system to automate your workflow
Project details
You'll get a multi-agent AI system that actually does the work — triaging, reasoning, and acting across your tools — not a chatbot that just talks. I've led multi-agent platforms shipped to Fortune 100 and US government clients, including a helpdesk system that autonomously handled ~60% of L1 support volume and doubled product ARR. I build the way production demands it: each agent is a small, testable step with its own evals, full observability, and clean fallbacks — so you get something that holds up under real traffic, not a demo that breaks on the second edge case. Built on LangGraph with RAG over your data, deployed into your own cloud tenant (your data never leaves it), and handed over with a runbook so your team can own it. Tell me the workflow you want gone, and I'll map the simplest path to automating it.
AI Development Type
Deep Learning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, Deeplearning4j, MATLAB, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,000
|
Advanced
$9,000
|
|---|---|---|---|
| Delivery Time | 15 days | 30 days | 60 days |
Number of Revisions | 2 | 2 | 2 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | |||
Model Documentation | |||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,500 - $4,000About Sudarsan
AI Agent & Voice AI Developer | LLM Apps | Python, Django, React
Bengaluru, India - 12:55 am local time
Over the past two years at ezAIx I've engineered and led the products behind some serious outcomes:
• A multi-agent helpdesk platform that replaced ~60% of L1 support workload through autonomous ticket triage and resolution. Deployed for a Fortune 100 food distributor and a US state-government client, and doubled the product's ARR.
• AI contact centers handling 500K+ interactions/month, with voice bots that deflect 40% of inbound calls and real-time bilingual translation across 20+ languages (including low-resource ones like Lakota).
• A Microsoft 365 tenant-assessment SaaS that scans 200K+ Graph resources per tenant in ~8 minutes and generates role-aware reports for execs, CIOs, CISOs, and CFOs.
What I can do for you:
• Custom AI chatbots and agents (single or multi-agent) for support, ops, and internal automation
• Voice AI: real-time voice bots, call deflection, live translation (OpenAI Realtime API, Azure Speech)
• RAG systems and LLM integrations wired into your existing tools, CRM, or data
• Production deployment that holds up. I've run 99.95% uptime SLAs on Azure/Kubernetes, not just demos
My stack: Python, TypeScript, LangChain/LangGraph, OpenAI and Azure OpenAI, FastAPI, Next.js, vector DBs, and the cloud infra to ship it all to production.
I care about clear scope, fast communication, and delivering something you can actually use. Tell me what you're trying to automate, build, or fix, and I'll map out the simplest path to get there.
Steps for completing your project
After purchasing the project, send requirements so Sudarsan can start the project.
Delivery time starts when Sudarsan receives requirements from you.
Sudarsan works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & design
I review your requirements and map the workflow into an agent design (agents, tools, data, handoffs). You get a short scope doc to approve before any building starts.
Build core agents
I build the agent graph on LangGraph — routing, tool calls, and the core logic — wired to your data and integrations.