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.

What it replaced

Before: weeks of manual research and broker gut-feel per site, on decisions costing $500K–$2M each, with no way to defend a pick to stakeholders. After: any address scored in 2 minutes against the brand's real location fingerprint, and a ranked list of all 94 metros for the expansion pipeline.

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.

What it replaced

Before: spreadsheets and email threads, where unbilled milestones sat unnoticed and overdue invoices went unfollowed until someone happened to check. After: every dollar at risk surfaces on one dashboard the moment anyone logs in, and the required-document checklist makes a missed form at closing structurally impossible.

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.