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AI Automation & Development Case Studies

Systems we built. Problems they actually solved.

Each case breaks down what we built, how it works, and what it changed for the business. Client names shared under NDA.

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Showing 9 of 9 case studies

AI Agent · B2B Sales

01 / 09

Multi-Lead Qualification & Auto-Email Agent

The problem

Leads arrive from forms and webhooks all day. Sorting them by hand is slow, hot leads wait hours for a reply, and low-budget enquiries eat the team's time.

What we built

An agent that scores every incoming lead with Gemini as hot, warm or cold, logs it to the right sheet, alerts the sales rep, and sends the lead a tailored email. Qualified form leads also get a ready-to-send meeting email drafted in Gmail.

  • Hot / warm / cold scoring
  • Instant tailored emails
  • Gmail meeting drafts
  • n8n
  • Google Gemini
  • Structured output
  • Google Sheets
  • Gmail
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AI Agent · Customer Support

02 / 09

RAG Customer Support Agent

The problem

Customers ask the same questions all day. The team copies answers from docs, replies are slow outside business hours, and generic chatbots make things up.

What we built

A support agent trained on the business's own website and documents. It answers in seconds with grounded, accurate replies, remembers the conversation, and hands off to a human when it isn't sure.

  • Answers from your own docs
  • 24/7 replies
  • Conversation memory
  • n8n
  • Gemini
  • Pinecone
  • Embeddings
  • Webhook chat
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AI Agent · Home Services

03 / 09

Home Services Missed-Call Agent

The problem

Home service owners are on job sites and miss calls. Callers move on to the next plumber or HVAC company, bookings happen by phone tag, and reminders and review requests are forgotten.

What we built

Four workflows working as one system: missed calls get a text-back and are booked over SMS with calendar clash checks, customers get 24h and 2h reminders, finished jobs trigger review requests, and the owner gets a daily digest plus instant error alerts.

  • Missed call → SMS booking
  • 24h + 2h reminders
  • Auto review requests
  • n8n
  • Twilio SMS
  • Google Calendar
  • Google Sheets
  • Gmail
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AI Agent · Creator Outreach

04 / 09

YouTuber Lead Generation Agent

The problem

Finding the right YouTube creators for partnerships or services means hours of searching, opening channels one by one and checking their stats by hand.

What we built

An agent that takes a niche and filters, generates search queries, searches YouTube, pulls each channel's details, scores them against your criteria and returns a clean, qualified creator list on demand.

  • Niche channel discovery
  • Auto scoring
  • Results in one request
  • n8n
  • YouTube Data API
  • Webhook API
  • JavaScript
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AI Automation · Lead Gen

05 / 09

B2B Local Lead Gen & Cold Email Automation

The problem

Local B2B outreach is slow: scraping business lists, finding valid emails and writing cold emails by hand means only a few prospects get contacted each day, with no consistent follow-up.

What we built

A full outbound system: it scrapes local businesses from Google Maps, verifies emails, writes a personalised offer email with AI, sends a multi-step sequence, checks for replies and stops or follows up automatically.

  • Google Maps sourcing
  • Verified emails
  • 5-step sequences + reply check
  • n8n
  • Apify
  • OpenAI
  • Google Sheets
  • Gmail
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AI Agent · Lead Gen

06 / 09

Hot Lead Finder PRO: Live Maps + AI Review Analysis

The problem

Scraped lead lists are full of businesses that will never buy. Sales teams waste hours on cold names and get the same leads again on every run.

What we built

An agent that searches Google Maps live, enriches each business from its website, analyses its reviews and site with AI to find real buying signals, and delivers only hot leads, never repeating one it already gave you.

  • Live Google Maps search
  • AI review analysis
  • Never-repeat leads
  • n8n
  • Google Places API
  • OpenAI
  • n8n Data Tables
  • Google Sheets
  • Gmail
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AI Product Engineering · SaaS

07 / 09

AI-Native SaaS Platform

The problem

A founder had validated an idea for a research tool but needed a working product — auth, billing, LLM pipelines, vector search — shipped to production, not a demo.

What we built

A complete SaaS platform: Next.js frontend, Supabase backend, Stripe billing, and a streaming LLM pipeline with a Pinecone vector layer for semantic search across user documents.

  • 5 weeksMVP to production
  • 99.9%uptime
  • 0rewrites post-launch
  • Next.js
  • Supabase
  • OpenAI
  • Pinecone
  • Stripe
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Web Engineering · 3D Interactive

08 / 09

3D Product Launch Platform

The problem

A hardware brand needed a launch site that would stand out. Templates felt forgettable and couldn't handle real-time 3D.

What we built

A scroll-driven 3D site built with Spline and GSAP: products rotate as you scroll, exploded views show the internals, and marketing updates content through a custom Sanity CMS.

  • 2.4×conversion lift
  • 96Lighthouse score
  • 1.2saverage load
  • Next.js
  • GSAP
  • Spline
  • Sanity
  • Vercel
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Cross-Platform Mobile · RAG

09 / 09

AI-Powered Mobile App

The problem

A fintech startup's support inbox was drowning in repeat account questions.

What we built

A Flutter app with an embedded RAG assistant that answers account questions with citations from the user's own transaction history, via a secured gateway.

  • −42%support tickets
  • 4.8★store rating
  • 3saverage answer
  • Flutter
  • Firebase
  • OpenAI
  • Pinecone
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100%Code & IP ownership
WeeklyWorking demos
Fixed-priceBlueprint before we build
NDABefore kickoff

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