Case Studies: Real Implementations, Real Results
See how we've helped companies build sustainable AI solutions through thoughtful discovery, proper architecture, and realistic expectations.
SaaS Customer Support Automation
Mid-market SaaS Company • $5M ARR
The Challenge
Customer support team overwhelmed with repetitive inquiries, 24-hour average response times causing declining satisfaction
The Solution
Built AI-powered support agent with RAG over knowledge base, integrated with existing ticketing system. Discovery phase revealed knowledge base needed restructuring and many common questions weren't documented. We addressed data quality before building the AI.
Technologies Used
Measurable Results
Client Testimonial
"They were honest about needing to fix our knowledge base first. The extra week spent on data quality made a huge difference. The system handles 90% of common questions and escalates properly when unsure."
E-commerce Inventory Intelligence
Growing DTC Brand • $3M/year
The Challenge
Manual inventory management causing frequent stockouts and overstock situations, losing $15K/month in lost sales and carrying costs
The Solution
Developed intelligent inventory management system with demand prediction and automated reordering. Started with a 2-week MVP on their top 20 SKUs to validate the approach, then expanded to full catalog. Integration with Shopify required custom middleware to handle their specific fulfillment workflow.
Technologies Used
Measurable Results
Client Testimonial
"The staged approach was smart. We validated the concept with our bestsellers before going all-in. The system continues to improve as it learns our patterns. It's not perfect, but it's consistently better than our manual process."
Legal Document Processing Automation
Professional Services Firm • $10M/year
The Challenge
Manual document review and classification taking 8 hours per batch, creating bottlenecks and increasing client costs
The Solution
Built AI-powered document processing pipeline with automatic classification and information extraction. Discovery phase identified compliance requirements and edge cases that required human review. Implemented confidence scoring with automatic routing to attorneys for low-confidence classifications. Included 3-week stabilization period to tune accuracy with real documents.
Technologies Used
Measurable Results
Client Testimonial
"They understood that in legal work, accuracy matters more than speed. The confidence scoring ensures we review anything uncertain. After the stabilization period, we trust the system for routine classifications and focus attorney time on complex cases."
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