Case Studies · Real Projects

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.

Ruby on RailsMedia & Publishing · Toronto, ON

Custom CMS Platform Cuts Content Publishing Time by 70%

01 / 06

70%

Faster publishing

More content per week

0

Manual approval emails

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.

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.

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 8PostgreSQLAWS S3Hotwire
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AI SolutionsE-Commerce · Ontario, Canada

AI Support Bot Handles 80% of Customer Inquiries Without Staff

02 / 06

80%

Tickets automated

6 wks

Payback period

24/7

Support coverage

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.

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.

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 ClaudeNext.jsShopify APISupabase
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Mobile DevelopmentHealth & Wellness · GTA, Ontario

Flutter App Replaces Paper-Based Intake Process for Clinic Chain

03 / 06

75%

Faster intake

0

Data entry errors

4

Locations live

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.

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.

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.

FlutterFirebaseCanadian cloud regionREST API
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Node.js & PythonLogistics · Hamilton, ON

Custom API Eliminates Manual Dispatch Coordination for Freight Company

04 / 06

90%

Less coordination time

25%

Driver productivity gain

100%

Uptime in peak season

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.

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.

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.jsTypeScriptPostgreSQLRailway
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Web DevelopmentProfessional Services · Ottawa, ON

Next.js Rebuild Triples Organic Traffic and Doubles Lead Volume

05 / 06

Organic traffic

96

PageSpeed score

3.1%

Form conversion rate

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%.

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.

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 14TypeScriptTailwind CSSVercel
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IT & Digital StrategyReal Estate · Mississauga, ON

Python Automation Saves 25 Hours Per Month of Manual Reporting

06 / 06

25 hrs

Saved per month

8am

Automatic delivery

0

Manual errors

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.

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.

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.

PythonPandasGoogle Sheets APIAWS Lambda
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