Every project here started as a conversation about a problem. Every result below is a real outcome delivered for a real business owner.
A regional wholesale distributor was spending over $800/month on inventory management SaaS that required constant manual overrides and still missed demand spikes. We built a custom system that integrates directly with their POS and uses AI to forecast demand by SKU, season, and supplier lead time.
"The system paid for itself in less than 2 months. And it actually does what we need it to do — which is more than we can say for the SaaS we replaced."
A boutique family law firm was drowning in intake paperwork. New clients filled out 12-page forms by hand, which staff would then manually key into the case management system. We built an automated intake portal with AI document processing and a case-ready summary generator.
"Our paralegals used to spend Monday mornings doing nothing but data entry. That's completely gone now. They're doing actual legal work."
A 12-person HVAC company had technicians showing up to jobs with missing info, and follow-up calls fell through the cracks. We built an AI scheduling system that pre-populates jobs from incoming calls, optimizes daily routes, and automatically follows up with customers post-service for reviews and return bookings.
"We grew revenue by 35% without adding a single person to our admin team. The system handles the coordination we used to do manually."
A growing marketing agency was struggling to scale content production without sacrificing quality. Their brand voice was inconsistent across writers. We built a custom AI content workflow system that ingests client briefs, maintains brand voice profiles, and assists writers in producing first drafts — reducing time per piece by 60%.
"We onboarded 4 new clients last quarter that we would have had to turn down without this system. It's changed what we're capable of as a team."
A financial advisory firm was spending every Friday manually compiling client portfolio reports from multiple data sources. We built an AI reporting engine that pulls data from their custodian APIs, generates plain-language insights using AI, and emails personalized reports to each client automatically.
"Our clients comment on the quality of reports now. They feel more informed than ever, and we're doing half the work. It's a win on both sides."
An outdoor gear retailer with both a physical store and online shop had no way to personalize recommendations. We built a custom recommendation engine that learns from purchase history, browsing behavior, and season/region data — surfacing suggestions both on the website and via staff iPads in-store.
"The in-store iPad feature alone has transformed our associates' conversations with customers. It's like giving every sales person 10 years of product expertise."