I will build a production multi-agent AI assistant with RAG on your business data

Ankit

Ankit

AI agents

Founding Seller ✓ Service reviewed by our team New on RemoteAI ⏱ Delivery from 7 days
I will build a production multi-agent AI assistant with RAG on your business data I will build a production multi-agent AI assistant with RAG on your business data I will build a production multi-agent AI assistant with RAG on your business data

About this service

For operations, sales and claims teams who lose hours searching documents, checking records and writing the same reports. I build a multi-agent AI assistant that answers questions from your own data, takes the routine steps, and asks a human before anything sensitive. A recent example: for an insurance claims team I built LangGraph agents for verification, fraud checks and escalation. It automated 60% of manual checks and cut processing from 4 hours to 45 minutes, with 92% precision in testing. For sales managers, I built agents that answer questions about their accounts and turn the answers into QBR slides emailed on a schedule. How I work: 1. A 30-minute call to map your process, data sources and edge cases. 2. I build it with Python, FastAPI, LangGraph or Google ADK, Gemini or OpenAI, and a React chat screen. 3. We test it on your real examples, then I deploy it to your Google Cloud or Azure account. You get the working assistant, source code, setup notes and a video walkthrough. 10 years in software; currently building agentic systems at enterprise scale. Also available as a fixed-scope pilot: a working prototype on a sample of your data in the first week, so you can see real answers before committing to the full build.
Python React Gemini LangGraph MCP

Built for: Small businesses · Healthcare & clinics · SaaS & startups

What Ankit needs from you to start

1. Your goal: what the assistant should do, who will use it, and what "done" looks like (for example, answers 90% of common questions correctly). 2. 5–10 real example questions or tasks, with the answers you would expect. 3. Sample documents or data the assistant should use (sensitive details can be removed). 4. The tools it must connect to (CRM, email, ticketing, database) and whether it may only read or also take actions. 5. Your cloud preference: Google Cloud or Azure. Please invite me as a user with the access I list; never send passwords. 6. A 20-minute kickoff call at a time that suits you.

Compare packages

Package $350 Essential $1,200 Standard $3,000 Premium
Included
  • ✓1 AI assistant answering questions over your documents (RAG)
  • ✓Up to 50 documents or 1 data source
  • ✓Simple chat web UI
  • ✓Deployed on Google Cloud or Azure
  • ✓Video walkthrough + source code
  • ✓Multi-agent assistant (router + up to 3 specialist agents)
  • ✓RAG over up to 3 data sources
  • ✓Up to 3 tool/API integrations (CRM, email, ticketing)
  • ✓Human approval step for sensitive actions
  • ✓React chat UI with streaming answers
  • ✓Deployed on Cloud Run or Azure, with setup docs
  • ✓Everything in Standard, up to 6 agents and 6 tools
  • ✓Guardrails: PII redaction and prompt-injection checks
  • ✓Evaluation test set with accuracy report
  • ✓Logging, monitoring and cost tracking
  • ✓Auto-generated reports or slides emailed on a schedule
  • ✓2 weeks of support after delivery
Delivery 7 days14 days21 days
Revisions 123

FAQ

Which AI model do you use? +

Gemini, OpenAI or Claude, chosen for your accuracy needs and budget. I set it up in your own cloud account, so you own everything and pay model usage directly with no markup.

What if the agent makes a mistake? +

We decide together what it can do alone and what needs your approval. I add checks for wrong or made-up answers, and every action is logged so you can review it.

Is my data safe? +

Your data stays in your own Google Cloud or Azure account. I can add PII redaction and access controls, and nothing is used to train public models.

Can you work with our existing tools? +

Yes. I've connected agents to CRMs, email, ticketing systems, ERPs like Xero, and internal APIs. If it has an API, the agent can use it.

About the seller

Ankit

Ankit ✓ Reviewed talent

View full profile →
Member since
Oct 2026
Services
1

AI Architect and full-stack AI engineer with 10 years in software , now building production agentic systems. I design and ship multi-agent platforms end to end: LangGraph and Google ADK orchestration, RAG, human-in-the-loop, guardrails and observability, FastAPI backends and React frontends, on Google Cloud (Vertex AI, Cloud Run) and Azure AI Foundry. Recent work: - Sales QBR platform: Synthesis, Content and Analysi...

PythonReactGeminiLangGraphMCPpythonfastapiai agents

Reviews

No reviews yet

Reviews appear after completed orders. Only buyers who paid for this service on RemoteAI can leave one.

More AI agents services

Yuwetha

I will build a custom AI agent that handles automated tasks for your team

From $500

Laura

I will build a custom AI agent to automate your business workflows.

From $300

Andy

I will build Python AI agents that automate workflows for small businesses.

From $300

Radhey

I will build a LangGraph agent on AWS Bedrock with approval gates

From $300

From

$350

See packages