AWS, RAG and automation consultancy
FlowboticsAI designs and implements production systems on AWS, from Bedrock agents and RAG platforms to Amazon Connect, QuickSight and n8n automation.
Delivery view
Inputs
Documents Business data Customer eventsIntelligence
Bedrock + RAG Rules + approvals MonitoringOutcomes
Answers with sources Actions in tools Operational insightWhat we do
Focused consulting and implementation for organizations that need AI connected to real data, workflows and operating controls.
Design and delivery for Bedrock agents, serverless application layers, contact centres and analytics workloads.
Document intelligence that returns grounded answers, keeps sources visible and fits existing access controls.
Reliable workflows across CRM, email, voice, customer support and internal operations.
Selected work
Each walkthrough shows the problem, architecture and working implementation. Client work and portfolio demonstrations are clearly labelled.
AWS Bedrock · Insurance operations
Built for Emagination Cloud, the agent queries Parquet data through Athena and investigates individual failures from S3 debug logs.
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AWS RAG · Healthcare
React application combining Bedrock Knowledge Bases, cited document answers and Text-to-SQL over synthetic healthcare data.
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Amazon Connect · Voice AI
Conversational Lex IVR, member authentication, context-aware handoff, Amazon Q agent assist and repeatable deployment.
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QuickSight · Redshift
A governed analytics setup that gives each audience the right view while keeping the underlying warehouse centralized.
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RAG · Internal knowledge
FastAPI RAG application for finding relevant internal knowledge and returning answers with visible supporting sources.
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n8n · Operations automation
Claude extracts enquiries, logs structured leads, converts natural-language timing and routes uncertain results for human review.
Watch the walkthroughClient proof
Verified Upwork feedback across AWS, RAG, n8n, WhatsApp, voice AI and content automation projects.
Verify on UpworkAWS Bedrock and Terraform · Emagination Cloud
“Everything looks GREAT! The AWS components operate exactly as expected and the updates to the Terraform files are perfect I'm super happy with both the quality and turnaround time.”
WhatsApp AI Customer Support Agent
“Rajiv built us an AI support agent for WhatsApp that handles our repetitive customer questions automatically: order status, returns, shipping times, product info, opening hours. It uses RAG to pull answers from our knowledge base, so responses are accurate and match our actual policies, not generic replies. When a query is too complex, it hands off to a human agent with full context, and every conversation gets logged in Google Sheets. The whole thing runs through n8n connected to WhatsApp Business API, and we can add new FAQs ourselves without needing a developer. Rajiv walked us through the setup clearly, and communication was fast throughout. Highly recommend him for n8n, WhatsApp automation, RAG, and customer support AI projects.”
AI Automation Expert for Agency
“Rajiv is honestly super talented, I love working with him and he is a expert in AI automation and web development I can’t wait to use him again, couldn’t recommend enough. Also a super great guy in general!”
AI Voice Receptionist for Missed Calls
“Rajiv delivered exactly what we needed. We were losing leads every time we missed a call during busy hours and after closing. Now, an ElevenLabs voice agent picks up via VAPI, sounds completely natural, answers questions about our services and pricing, and books the caller straight into Google Calendar without us lifting a finger. What impressed us most was how natural the call flow feels; callers actually stay on the line and book. Every call ends with an instant Twilio SMS to my phone with the caller's name, what they needed, and whether they booked or left a message. The whole workflow runs on n8n, connected to our Twilio number and tested with real calls. Rajiv walked us through updating the script ourselves without touching any code. Will definitely hire again.”
AI Video Ad Generator with RAG and AWS
“Rajiv built us an AI automation system in n8n that turns a product idea into a finished AI video. It uses RAG to pull from our brand documents, writes the ad script, generates the AI video, and saves everything to AWS S3 with version control. He had already built similar AI video automation workflows using RAG and n8n, which gave us confidence in his expertise. The final solution matched our requirements perfectly, and I highly recommend him for AI video generation, RAG, n8n, and AI automation projects.”
AI Content Generation and Auto-Publishing
“Rajiv is a pleasure to work with. He demonstrated good technical expertise in building our AI content generation and auto-publishing system using n8n and AI models. His knowledge of automation, AI workflows, and n8n was evident throughout the project. I'm very happy with the quality of his work and would highly recommend him to anyone.”
How engagements work
Map the workflow, data, users, constraints and success measure.
Choose the smallest design that meets security and operating needs.
Build, integrate and test against realistic cases and failure paths.
Document ownership, monitoring, costs and the next sensible improvement.
About the founder
Rajiv Unnikrishnan brings more than 18 years across AWS, Oracle and enterprise technology. His work now focuses on building AWS AI systems, RAG applications and automations that teams can understand and operate.
Engagements cover architecture, implementation, deployment, monitoring, documentation and handover. The goal is a working system with clear ownership.
Start with the workflow
In a 30-minute technical discovery call, we will identify the highest-value starting point and discuss a practical implementation path.
