Case Studies
Real systems. Real constraints. Real outcomes.
At WebQuench, we don’t build demos or one-off automations. We design and stabilize systems that operate in real environments — with real users, real data, and real consequences when things break.
The case studies below highlight how we approach automation across different contexts: enterprise systems, regulated industries, and revenue-critical workflows.
How to Read These Case Studies
These are not marketing success stories.
Each case study focuses on:
the underlying system problem, not surface symptoms
the design decisions that mattered
how reliability, data integrity, and ownership were handled
outcomes that could be measured without exaggeration
If you’re looking for hacks or shortcuts, these won’t resonate.
If you’re responsible for systems that need to hold up over time, they will.
Automated System Testing for BYU-Idaho
Context: Higher education / internal systems
Focus: Reliability, scale, and operational efficiency
BYU-Idaho’s internal class registration system required weeks of manual testing every semester. We designed a fully automated testing framework that simulated real-world registration scenarios, validated complex logic, and reduced testing time from weeks to minutes — without sacrificing accuracy.
Key Outcomes:
Manual testing reduced from 3 weeks to ~20 minutes
Over 100 hours of QA effort saved per update
Faster release cycles with higher confidence
A reusable framework maintained by the internal team
AI-Assisted Mortgage Qualification System for Loan Officers
Context: Mortgage & real estate finance
Focus: Trust-based qualification, CRM integrity, scalable deployment
Independent loan officers needed a low-friction way to help prospects understand mortgage or refinance eligibility while capturing clean, reusable data. We built an AI-assisted qualification system embedded across multiple websites, integrated directly with CRMs, and designed to support — not replace — human decision-making.
Key Outcomes (Early Signals):
34 qualified leads captured in one month without paid ads
All lead data stored automatically in the CRM
Structured qualification insights preserved for future follow-up
Consistent deployment across multiple loan officers and agents
Despite serving different industries, these systems share the same design principles:
Built for real usage, not ideal scenarios
Designed to fail safely, not silently
Focused on data integrity and ownership
Integrated into existing tools instead of replacing them
Documented so teams aren’t dependent on us forever
This is how automation survives growth, turnover, and change.
What These Projects Have in Common
Sales Systems
Marketing Systems
Project Management Systems
How This Connects to Our Services
These case studies reflect the same approach we use across:
Business Process and Ops Systems
The goal is always the same: systems that support people and hold up in the real world.
Patterns, failure modes, governance, and maintenance risks explained clearly. No tutorials. No hype.
Automation Insight Library
When You’re Ready
If parts of these case studies feel familiar — messy handoffs, fragile workflows, or systems no one fully trusts — the next step is usually clarity, not more automation.
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