If your business is losing leads because no one's following up fast enough, missing calls that could've been customers, spending hours on manual outreach or doing repetitive work that should be running automatically That's not a people problem. That's a systems problem. My name is Aditya and I build AI automation systems that fix exactly this. Over the past while I've built systems across multiple industries that remove repetitive work and run operations automatically. Voice AI — A dental clinic that never misses a patient call, a locksmith company where the AI dispatches technicians automatically and a real estate overflow assistant built in vapi's squad that routes callers by department and stores everything in HubSpot. Lead Management — A qualification system that enriches prospects, scores them with reasoning and routes them through the right follow-up path so teams only focus on people who actually matter. Outreach Automation — A LinkedIn system that personalises messages at scale, sends connection requests and follows up automatically saving around 10 hours of manual prospecting every week. Chatbots — A real estate chatbot that responds to property inquiries, qualifies buyers and renters and books viewings automatically. Productivity Automation — An email and calendar assistant that drafts replies, tracks tasks and manages scheduling saving 7 to 14 hours every week. A content system that generates and publishes across platforms on a schedule without any daily effort. Every system I build is clean, modular and runs without constant monitoring. Not just workflows that connect tools systems that actually run your operations. I've also recently started breaking down how these systems are built on YouTube if you want to see the logic behind the workflows and how I think through a problem: https://youtube.com/@adityaaisystems?si=f11RE5Oh8G4kBHA4 Currently at 100% Job Success Score on Upwork with consistent 5 star feedback. Full portfolio here: https://glittery-search-d5a.notion.site/My-Portfolio-2914ba21e2d7808aac02eb31bc0420f8?pvs=143

I built this system for a locksmith company that needed a better way to handle incoming emergency calls and assign jobs to technicians automatically. Here’s what the system does: • AI answers incoming calls • Collects customer details (name, address, issue, phone number) • Creates a job record in the database • Sends the job to technicians one by one • Includes Accept / Reject buttons inside the email • Waits for a response • If ignored → automatically escalates to the next technician • Stops immediately once someone accepts The main challenge was building the loop logic in n8n so it doesn’t notify everyone at once, and making sure the workflow instantly stops once the job status changes to “accepted.” Result: Replaces manual dispatching, prevents double assignments, reduces missed calls, and ensures technicians are assigned faster without a human coordinating everything. I recorded a Loom walkthrough showing: – A live AI call test – The n8n workflow logic – How accept/reject works – How the escalation system is structured If anyone’s curious about the backend setup, here’s the full breakdown: https://youtu.be/fG83tKiWcgA Would love to hear how you’d improve the routing or escalation logic.

Hey everyone, I wanted to share a bit of my background and ask for some advice from people who are already running AI automation agencies. I’ve been working as a freelancer for a while, mainly building AI automations and voice agents. On Upwork I currently have a 100% Job Success Score with 5-star reviews, and most of my projects have involved building automation systems and AI-based solutions for clients. Recently I also started a YouTube channel where I showcase the systems I build (voice agents, automations, workflows, etc.) so people can see the actual implementations. Now I’m planning to start my AI automation agency next month. Initially, my main focus will be AI voice agents for clinics (AI receptionists, call handling, appointment booking, etc.), because it’s easy for businesses to understand the value. After that, I plan to gradually expand into other automation areas like lead generation systems, workflow automation, and content automation, since I also have experience with those. Right now my main questions are around pricing and infrastructure. Until now as a freelancer, I’ve always built systems directly on the client’s platforms (their Twilio, Vapi, OpenAI, etc.) and just charged a setup fee. But now that I’m moving toward an agency model, I’m wondering what the best approach is. A few things I’d really appreciate advice on: • Do you usually build on the client’s platforms or run everything on your own infrastructure? • For someone starting an agency, would you recommend continuing with client-owned accounts for the first few clients, or moving to agency-owned infrastructure from the start? • How do you typically structure pricing setup fee only, or setup + monthly maintenance/retainer? Another thing I’m unsure about is monthly maintenance. If I charge a monthly maintenance fee: - Is that something you keep indefinitely as long as the client stays? - Or do you structure it like a limited support period or contract (e.g., 3–6 months)?

Hey everyone, I’m building a live AI phone receptionist and I’m facing an issue when the assistant has to repeat numbers back to the caller. Problems: • When a caller gives an 11-digit phone number → digits merge or sound unclear • When repeating prices like £1500 → pronunciation sounds distorted • Works fine sometimes, but inconsistent on real phone calls Stack: Vapi + Twilio + n8n + ElevenLabs (also tested Gemini/OpenAI) Tried already : – Increasing end-of-turn timeout (0.5 → 2s) – Changing voices/models/LLMs How do you normally solve this in production systems? Is it formatting, TTS settings, buffering, or another approach?

A lot of people talk about “doing outbound consistently,” but what usually breaks isn’t effort it’s friction. Recently, I built a LinkedIn outreach system to remove that friction completely. What the system does: - Scrapes targeted LinkedIn leads - Researches each profile - Writes a personalized connection message per lead - Sends the connection request - Automatically sends the 1st and 2nd follow-up What this removes from the process: - Searching and opening profiles - Copy-pasting profile data - Writing messages one by one - Manually remembering and sending follow-ups Realistic time impact:~20 minutes saved per lead. At ~30 leads/week → ~10 hours saved every week. The bigger outcome: Outbound runs in the background. Messages stay personalized.Follow-ups never fall through. If you’re curious and want to see the exact workflow or explore setting something similar up for yourself, feel free to DM me and we can walk through it on a quick call.