Case Studies

Real projects. Real results.

A sample of the work we've done and the problems we've solved. Details have been generalized to protect client confidentiality.

Database OptimizationHealthcare

Cutting report generation time from 4 hours to 8 minutes

97%

Faster reports

Dedicated servers needed

2 weeks

Time to deliver

The challenge

A medical practice was running nightly reports that took over four hours to complete, causing stale reports and delays in morning operations.

Our approach

We audited the existing SQL Server database, identified 23 missing indexes, rewrote three critical stored procedures, and restructured the reporting queries to eliminate redundant table scans.

The result

Report generation dropped from 4+ hours to under 8 minutes. The client reclaimed their overnight maintenance window and eliminated the need for a dedicated reporting server.

App DevelopmentLogistics

Replacing a spreadsheet-based dispatch system with a custom web app

80%+

Fewer dispatch errors

2 hrs/day

Time saved on reconciliation

2 days

New dispatcher onboarding

The challenge

A mid-size logistics company was managing driver dispatch, route assignments, and delivery confirmations across a tangle of shared spreadsheets. Errors were frequent, and the system broke down entirely when more than three dispatchers worked simultaneously.

Our approach

We built a custom web application with real-time updates, role-based access for dispatchers and drivers, and a mobile-friendly interface for field confirmation. The system integrated with their existing billing software via API.

The result

Dispatch errors dropped by over 80%. The team went from spending two hours per day reconciling spreadsheets to near-zero manual reconciliation. Onboarding new dispatchers went from two weeks to two days.

AI AutomationProfessional Services

Automating contract review for a boutique law firm

200+

Hours saved per year

~5 min

Avg. screening time

6 weeks

Time to deliver

The challenge

A boutique law firm was spending 6–8 hours per week manually reviewing incoming vendor contracts for non-standard clauses before passing them to attorneys. The process was slow, inconsistent, and a bottleneck for the whole firm.

Our approach

We built an AI-powered document processing pipeline using a combination of OCR, structured extraction, and a fine-tuned language model to flag non-standard clauses, missing provisions, and risk indicators. Results were surfaced in a simple review dashboard.

The result

Initial contract screening time dropped from hours to minutes. Attorneys now receive a pre-flagged summary instead of a raw document, letting them focus on judgment rather than scanning. The firm estimates saving 200+ hours per year.

Cloud MigrationE-commerce

Migrating a legacy on-premise stack to Azure with zero downtime

Minutes of downtime

30%

Infrastructure cost reduction

10x

Peak traffic capacity

The challenge

A growing e-commerce company was running their entire platform on aging on-premise hardware. Scaling for peak traffic required manual intervention, and a single hardware failure had already caused a 6-hour outage the previous year.

Our approach

We designed a phased migration to Azure using Azure SQL Database for the database layer, Azure App Service with Auto Scaling for the application tier, and Azure CDN for static assets. We ran parallel environments for four weeks before cutting over during a low-traffic window.

The result

The migration completed with zero downtime. Infrastructure costs dropped 30% through right-sizing. The platform now auto-scales to handle 10x normal traffic during peak events without manual intervention.

Working on something similar?

Every project is different, but the approach is the same — understand the problem first, then build the right solution.

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