Work That
Works.
We don't hide behind slide decks. Here are real systems we've built that solve real business problems.
Case Studies
Financial Clarity
Revenue Reconciliation & P&L Automation
A high-growth pet care services company (Private Equity backed) was struggling to reconcile cash transactions with GAAP financial statements. The finance team was drowning in manual Excel work to close the month. Data was scattered across customers, appointments, and revenue systems.
The Result
Leadership stopped arguing about whose spreadsheet was right and started making decisions based on audited financial data. The accounting team cleared their backlog and moved from "data entry" to "analysis."
The Fix (Eric's Work)
Automated Pipeline
Built a Snowflake pipeline to reconcile cash-based transactions with monthly GAAP financials, replacing a legacy manual SQL process.
The Boardroom View
Designed a centralized Power BI Profit & Loss statement used by executive leadership as the single source of truth.
Predictive Modeling
Created Python models to forecast staffing needs based on appointment volume, directly impacting labor budgets.
Operational Efficiency
Construction Management AI System (CMAIS)
A residential builder (10-20 homes/year) was overwhelmed by the administrative burden of customer selections and vendor coordination. Hours were wasted every week manually creating RFQs and hunting for project files.
Intelligent Portal
Built a custom Next.js portal for managing customer home selections.
Auto-Drafting
Automated the generation of detailed RFQs sent to subcontractors based on those selections—turning hours of typing into one click.
Natural Language Bot
Deployed an AI Chatbot (via Microsoft Teams) that allows field teams to ask "Where is the faucet spec?" and get instant answers without opening a laptop.
Result: Admin overhead was slashed. The system now handles the "boring" work, freeing up the team to handle more concurrent projects without hiring more office staff.
Respect the Beans
Mobile AI Implementation
Launched to the iOS App Store in just 2 months. This internal venture proves that enterprise-grade mobile apps can be built in weeks, not months. We don't just talk about AI speed; we build with it.
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