You will get a custom AI agent or copilot with RAG and MCP for your team
Top Rated
Top Rated
Project details
Most AI assistants guess. They sound confident and they get your business wrong, because they have never seen your data.
I build agents that read your actual systems. Your documents, your database, your workflow tools. The agent grounds every answer in your own content using RAG, so it follows your conventions because it can read them.
Then I connect it to your live tools through MCP, which is the standard way an AI agent plugs into real software. That turns it from a chatbot into something that can do the work. Pull the record, check the status, draft the update, run the job.
What you get is your team's knowledge in one place instead of in three people's heads. Multi step jobs that used to be a careful manual checklist run as one command. New joiners get useful faster.
You stay in control. The agent proposes, a person approves, and nothing runs on its own unless you want it to.
I have built exactly this for an ops team running a large automation estate. That case study is in my portfolio.
Message me with what your team keeps repeating and I will tell you honestly whether an agent is the right answer.
I build agents that read your actual systems. Your documents, your database, your workflow tools. The agent grounds every answer in your own content using RAG, so it follows your conventions because it can read them.
Then I connect it to your live tools through MCP, which is the standard way an AI agent plugs into real software. That turns it from a chatbot into something that can do the work. Pull the record, check the status, draft the update, run the job.
What you get is your team's knowledge in one place instead of in three people's heads. Multi step jobs that used to be a careful manual checklist run as one command. New joiners get useful faster.
You stay in control. The agent proposes, a person approves, and nothing runs on its own unless you want it to.
I have built exactly this for an ops team running a large automation estate. That case study is in my portfolio.
Message me with what your team keeps repeating and I will tell you honestly whether an agent is the right answer.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
GPT-4What's included
| Service Tiers |
Starter
$300
|
Standard
$900
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 25 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | ||
Source Code |
Frequently asked questions
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HA
Howard A.
Jul 7, 2026
Test engineer for end to end automated testing of entire SaaS Application (with some manual testing)
Indu has worked for us on a full-time basis for ~7 years and I have nothing but great things to say about her. She has been dedicated, hard-working and super diligent on all the automated testing we have thrown her way. She worked hand in hand with the development team and customer support team and our software was all the better for it. The team had a wonderful relationship with her; she is friendly, supportive, inquisitive, experienced, knowledgeable and what everyone would want in a contractor. Unfortunately, we have transferred our customer base to a third party company and we have had to terminate her contract (and all others) with us. I would not hesitate one second to re-contract with Indu should the opportunity arise again. I wish her all the best, and we will miss her:(
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Hadi A.
Apr 8, 2026
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Wolfgang B.
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Hadi A.
Aug 5, 2024
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Phil S.
Apr 20, 2023
Automation Help
About Indumathy
AI Automation & AI App Developer | RAG, LLM Agents, Make/n8n, APIs
100%
Job Success
Chennai, India - 2:17 am local time
Top Rated · 100% Job Success · 7,000+ hours · $100K+ earned.
Most of my clients already use CRMs, ERPs, spreadsheets, or support tools but still rely on people to move data, read documents, draft replies, and chase follow-ups. That's where I come in: I turn those manual, repetitive tasks into AI-powered systems that are accurate, monitored, and cost-controlled.
What I build
• AI applications - document extraction (OCR + GPT-4o/Claude), per-field confidence scoring, human-in-the-loop review
• RAG pipelines - vector search (pgvector / HNSW), embeddings, and knowledge bases grounded in your data
• AI agents & MCP tools - custom agents and copilots for ops, finance, and support teams
• Workflow automation - Make & n8n, multi-step, error-handled, and monitored
• Enterprise API integrations - ERP/CRM/finance systems (Sage Intacct, HubSpot, SharePoint), REST, webhooks, SQL
Recent work & results
• AI invoice-processing app - PDF → GPT-4o extraction + RAG over 50,000+ historical documents, auto-coding invoices to the right accounts with confidence scoring → eliminated hours of manual AP coding, with a full audit trail.
• AP payments → ERP suite - 30+ orchestrated Make scenarios syncing payments, bank feeds, and reconciliation into Sage Intacct + SQL across multiple entities → a near-hands-off finance back office.
• AI content & monitoring engine - n8n + LLMs drafting on-brand content and intelligence across 7+ brands, synced to Notion/Slack → hours of manual work turned into a reviewable AI pipeline.
• Custom AI agents & MCP tooling - agentic tools that connect LLMs to live data sources for non-technical teams.
Why teams keep rehiring me?
I run automations like software - Git-backed versions, error alerting, credential monitoring, and clear documentation for handover. I'll also tell you honestly what's worth automating and what isn't.
Tools I work with
AI/LLMs: OpenAI, Claude, LangChain, RAG, AI Agents, MCP
Automation: Make, n8n, Power Automate, Zapier
Data/Integration: REST APIs, Webhooks, PostgreSQL, pgvector, SQL, Python
Platforms: HubSpot, Airtable, Notion, Slack, Google Workspace, SharePoint/Office 365
Let's talk if you want automation that actually works, measurable business impact and someone who can own it end-to-end. Message me with what you're trying to automate. I'll give you a clear, honest recommendation.
Steps for completing your project
After purchasing the project, send requirements so Indumathy can start the project.
Delivery time starts when Indumathy receives requirements from you.
Indumathy works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends requirements