Verified voice and automation facts
- FEE FOLLOW-UP
- $14,000 collected
- GOVERNMENT PORTAL ENTRY
- 177 records completed
- AI RECEPTIONIST
- 5,300+ completed calls
- MORE SYSTEMS
- Voice · Browser · CRM
Selected automation work
Every case shows the problem, what I built, and the proof.
Featured work
Fee follow-up
Education fee follow-up
AI follow-up automation
- Problem
- An education company needed to follow up with families who had unpaid fees.
- What I built
- Automated reminder calls that followed up with families and recorded their responses.
- Proof
- The client confirmed that the system helped collect $14,000 in unpaid fees.
Browser automation
Government portal entry
Supervised AI browser automation
- Problem
- A school had an urgent, overdue student-entry task on a government website.
- What I built
- A supervised workflow that looked up source data, entered records, and checked the results.
- Proof
- 177 records completed. AI handled 170 entries and imports. I completed 7 manually.
Missed-call recovery
AI receptionist
Voice AI and GoHighLevel
- Problem
- A business owner received unwanted calls across a large GHL setup and still missed useful calls.
- What I built
- Call routing across 419 accounts, a Vapi receptionist, and Telegram delivery for each recording and summary.
- Proof
- Vapi verified 5,316 completed calls from 5,382 inbound attempts.
More systems
Voice scheduling
AI meeting booker
Voice AI and n8n
- Problem
- A voice agent needed one reliable way to manage Google Calendar meetings.
- What I built
- A 14-node n8n workflow to book, reschedule, cancel, and check availability.
- Proof
- The working canvas documents all three scheduling paths.
Voice and booking
AI booking website
AI web automation
- Problem
- Visitors needed clear ways to talk, request a text follow-up, or book a time.
- What I built
- A live Gemini voice demo, first-party SMS consent, and Cal.com scheduling.
- Proof
- Three working paths checked on desktop and mobile with test data.
School website
Sprout School website
Web design and development
- Problem
- Sprout School had three fragmented Wix sites with inconsistent information.
- What I built
- One responsive site for four campuses, then moved the domain to Vercel without interrupting email.
- Proof
- Seven pages across four campuses, live on desktop, tablet, and mobile.
Safe email AI
AI email autoresponder
Email automation and safety
- Problem
- An autoresponder must not reply unsafely to opt-outs, unclear messages, or angry replies.
- What I built
- Controlled replies, suppression, no-send decisions, owner alerts, and human review.
- Proof
- A live reply took about 13 seconds. A separate local run passed 158 of 158 safety checks.
n8n email workflow
Classify, label, and reply
AI email automation
- Problem
- Inbound Gmail needed consistent routing without breaking the original thread.
- What I built
- A six-node n8n flow that classifies, labels, replies in-thread, and logs the result.
- Proof
- The canvas documents four email routes across the complete inbox flow.
AI automation across voice, browser work, CRM, email, SMS, APIs, and webhooks.
ABOUT
About
I’m Praneeth Reddy, an AI automation and integrations builder. I run Vision Growth and handle each job myself from planning through testing and handoff.
CONTACT
Tell me what you want to automate.
Send me the process you want to automate and the tools you use. I’ll tell you how I’d build it.
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