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Web & AI Case Studies— Canadian Businesses

Every project below is a real engagement with a Canadian business. Here is what the problem was, what we built, and what changed.

01 / 06

Ruby on Rails

Media & Publishing · Toronto, ON

Custom CMS Platform Cuts Content Publishing Time by 70%

Faster publishing: 70%
More content per week: 3×
Manual approval emails: 0

01 — The Problem

A Toronto-based media company was managing editorial workflows across three disconnected tools — Google Docs, a legacy WordPress site, and manual email approvals. Publishing a single article took 3–4 hours of back-and-forth.

02 — What We Built

We built a custom Ruby on Rails CMS with role-based editorial workflows, one-click publishing, and an integrated asset manager. The system replaced all three tools and gave the team a single source of truth.

03 — The Result

Publishing time dropped from 3–4 hours to under 45 minutes. The team now publishes 3× more content per week with the same headcount.

Ruby on Rails 8
PostgreSQL
AWS S3
Hotwire

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02 / 06

AI Solutions

E-Commerce · Ontario, Canada

AI Support Bot Handles 80% of Customer Inquiries Without Staff

Tickets automated: 80%
Payback period: 6 wks
Support coverage: 24/7

01 — The Problem

An Ontario e-commerce retailer was spending $8,000/month on customer support staff to answer the same 15 questions about shipping, returns, and order status — questions their existing systems could already answer automatically.

02 — What We Built

We built a custom AI chatbot trained on their product catalogue, return policy, and shipping rules. Integrated directly into their Shopify store with live escalation to a human agent when needed.

03 — The Result

80% of support tickets now resolved automatically, 24/7. Support staff redirected to higher-value tasks. The bot paid for itself within 6 weeks.

Anthropic Claude
Next.js
Shopify API
Supabase

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03 / 06

Mobile Development

Health & Wellness · GTA, Ontario

Flutter App Replaces Paper-Based Intake Process for Clinic Chain

Faster intake: 75%
Data entry errors: 0
Locations live: 4

01 — The Problem

A GTA-based clinic chain was using paper intake forms across 4 locations. Patient data had to be manually re-entered into their system, leading to errors, PIPEDA compliance risks, and 20+ minutes of admin time per patient.

02 — What We Built

We built a Flutter app for iOS and Android that digitizes the intake process, syncs securely to their practice management system, and stores all data on Canadian-region servers to meet PIPEDA requirements.

03 — The Result

Intake time cut from 20+ minutes to under 5. Zero data entry errors. PIPEDA-compliant from day one. Now used across all 4 locations.

Flutter
Firebase
Canadian cloud region
REST API

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04 / 06

Node.js & Python

Logistics · Hamilton, ON

Custom API Eliminates Manual Dispatch Coordination for Freight Company

Less coordination time: 90%
Driver productivity gain: 25%
Uptime in peak season: 100%

01 — The Problem

A Hamilton freight company was coordinating dispatch through spreadsheets and phone calls. Drivers had no real-time visibility into job assignments, and the office team spent 3 hours per day on status update calls.

02 — What We Built

We built a Node.js REST API connecting their dispatch system to a driver-facing mobile web app. Real-time job assignment, status updates, and proof-of-delivery photos — all without phone calls.

03 — The Result

Daily coordination time dropped from 3 hours to 20 minutes. Driver productivity up 25%. The system handled their busiest season (peak December) with zero downtime.

Node.js
TypeScript
PostgreSQL
Railway

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05 / 06

Web Development

Professional Services · Ottawa, ON

Next.js Rebuild Triples Organic Traffic and Doubles Lead Volume

Organic traffic: 3×
PageSpeed score: 96
Form conversion rate: 3.1%

01 — The Problem

An Ottawa professional services firm had a 6-year-old WordPress site that scored 32/100 on Google PageSpeed. They were losing search rankings to competitors and had a contact form that converted at under 1%.

02 — What We Built

We rebuilt the site in Next.js with structured data, server-side rendering, and a redesigned contact flow. Migrated all content, preserved SEO equity, and added conversion-optimized service pages.

03 — The Result

PageSpeed score jumped from 32 to 96. Organic traffic tripled within 4 months. Contact form conversion rate went from 0.8% to 3.1%.

Next.js 14
TypeScript
Tailwind CSS
Vercel

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06 / 06

IT & Digital Strategy

Real Estate · Mississauga, ON

Python Automation Saves 25 Hours Per Month of Manual Reporting

Saved per month: 25 hrs
Automatic delivery: 8am
Manual errors: 0

01 — The Problem

A Mississauga real estate brokerage was manually compiling weekly sales reports from 4 data sources into Excel — a process one admin spent 6+ hours on every Friday. Errors were common and reports were always a day late.

02 — What We Built

We built a Python automation that pulls from all 4 data sources every Friday morning, formats the report to their exact template, and emails it to stakeholders automatically. No human involvement required.

03 — The Result

25 hours of admin time saved per month. Reports delivered by 8am every Friday — automatically. The admin was redeployed to client-facing work.

Python
Pandas
Google Sheets API
AWS Lambda

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