What happens when you stop doing it manually.

Challenge

Each new franchise location costs $500K–$2M to open. The client was evaluating sites through gut feel and broker recommendations: no repeatable data-driven process. Bad site decisions were expensive and hard to defend to stakeholders.

Solution

We built a two-module AI platform. Module 1: enter any US street address and get a real-time demographic score against the brand's actual location fingerprint: HIGH / MEDIUM / LOW classification with projected revenue range and confidence score. Module 2: 94 US metros scored and ranked by expansion potential, giving leadership a prioritized pipeline of where to expand next. Runs on public Census data: no paid subscriptions required.

Challenge

The firm was managing a full project pipeline: proposals, active builds, invoicing, expenses, milestones, client documents: across spreadsheets and email threads. Revenue was slipping through the cracks: unbilled milestones sitting unnoticed, overdue invoices going unfollowed, required documents missing at closing. No single place to see the health of every project at once.

Solution

A fully custom project management system built specifically for the architecture lifecycle: from deal creation to final close. Dashboard surfaces critical action items the moment you log in: upfront invoices not sent, overdue invoices by dollar amount and days past due, unbilled milestones ready to bill, missing required documents, and open checklist items. Includes kanban board, milestone calendar, invoice generation, expense tracking with markup, and a client-facing portal.

Challenge

Charly's personal Cricket number was also the business line. No routing, no greeting, nothing picking up after 5pm. Every after-hours call was a missed job they'd never know about.

Solution

We built a full IVR system using ElevenLabs voice recordings and Twilio Functions. Callers press 1 for hours, 2 for address, 3 to connect directly to Charly's cell. A dedicated local (678) number replaced the personal line on the Google listing. Built and live the same day.

Why this is here

We have not shipped this build for a dental practice yet. This page is the proposal we'd hand a practice on day one of an engagement. The architecture mirrors patterns we ship for other service businesses, scoped here for dental. We're publishing it so dental practices can see what we'd actually build before booking a call, and because the first practice that wants this gets a discounted build in exchange for logo and testimonial.

What it covers

Insurance verification automation, appointment reminder + reschedule sequence, recall call automation, review request automation. Industry-sourced ROI math for each. Fixed-price quote range. Honest disclaimer about the projection vs. delivered-result distinction.

Challenge

Four website forms (audit, contact, checklist, discovery) were sending email notifications through EmailJS. No CRM. No structured contact records. Every lead had to be copied into a spreadsheet by hand.

Solution

We added n8n webhook calls to all 4 forms, running alongside the existing EmailJS sends. The n8n workflow splits the full name, tags which form the lead came from, creates or updates a HubSpot contact with company, phone, and industry fields, then fires a Slack message to #leads in seconds.

Challenge

The site already had an AI chatbot answering questions about our services. But every visitor who chatted was anonymous. No contact info, no way to follow up. Helpful conversations that went nowhere.

Solution

We updated the chatbot's system prompt so it asks for name, email, and pain point during conversation, without forms or pop-ups. When the bot has all three, it appends a hidden marker to its response. The client-side JS strips the marker and fires the same n8n webhook our forms use. HubSpot contact created, Slack alert sent, seconds later.

Challenge

Wanted a chatbot on a static HTML/CSS/JS site. No React, no Node server. Most chatbot vendors charge $50-200/month and look generic.

Solution

A Netlify Edge Function (Deno) proxies the Anthropic streaming API. Client-side JS handles SSE streaming, session persistence, rate limiting by IP and daily cap, input sanitization, and prompt injection guardrails. About 300 lines total.

Challenge

The site started with EmailJS notifications and a spreadsheet. No CRM, no alerting, no source tracking. Every follow-up was manual.

Solution

One n8n webhook that all 5 sources feed into: audit form, contact form, checklist form, discovery questionnaire, and AI chat. It normalizes fields, tags the source, creates or updates a HubSpot contact, and fires a Slack alert. Same pipeline regardless of entry point.