Every case study below represents a real client challenge, a real solution we built, and real, measurable results. Numbers included because results should be provable.
A 12-person law firm was spending 20+ hours per week manually reviewing contracts. Associates were reading through lengthy documents just to identify key clauses, flag risks, and route files for approval, taking them away from billable client work.
We built a custom AI document review tool that automatically extracts key clauses, summarizes contract terms, flags unusual language, and routes files to the appropriate reviewer based on matter type.
A regional real estate agency had sales data spread across six different spreadsheets, multiple email threads, and a legacy CRM. Generating a simple performance report required 4+ hours of manual work each week, and the numbers were often out of date by the time they were reviewed.
We built a unified Power BI dashboard pulling live data from all sources, with AI-driven lead scoring to help agents prioritize follow-ups. The dashboard refreshes every 15 minutes automatically and is accessible from any device.
A digital marketing agency was manually building monthly performance reports for 18 clients from Google Ads, Meta, LinkedIn, and other platforms. The process was error-prone, time-consuming, and took a junior team member's entire week each month.
We built an automated data pipeline that pulls performance data nightly from all ad platforms, formats it into branded reports, and emails each client their custom report on a schedule with AI-generated commentary on key trends.
A multi-location medical clinic was losing significant revenue to appointment no-shows, averaging 22% across all three locations. Reminder calls were handled manually by front desk staff, leaving little consistency and no way to predict which patients were likely to cancel.
We built an AI-powered reminder and rebooking system that integrates with their practice management software, predicts no-show risk per patient, and automatically triggers personalized SMS/email reminders at optimal times before appointments.
A mid-size construction company was managing job site progress, material orders, and payroll across three separate systems with no connection between them. Project managers spent hours re-entering data, and billing was regularly delayed because accounting didn't have up-to-date job completion data.
We integrated their field management app, inventory system, and QuickBooks into a single connected platform with a custom mobile interface for field crews to update job status in real time. Changes flow automatically to the office systems, triggering billing when milestones are hit.
An online retailer with 2,000+ SKUs was relying on generic "customers also bought" blocks built into their Shopify theme. The recommendations were irrelevant, often showing products from completely unrelated categories, a clear opportunity being left on the table.
We built a custom collaborative filtering recommendation engine trained on 18 months of order history. It surfaces highly relevant product suggestions at key points in the shopping journey - product pages, cart, and post-purchase emails.
Every engagement starts the same way, with a free 30-minute AI audit so we understand your specific situation before recommending anything.