Case Studies in AI Workflow Architecture, CRM Automation and Business Agents
Case Studies
Real systems deployed across legal, immigration, market intelligence and frontier model evaluation. Numbers backed by production data.
D’Alessio Law Group - Speed-to-Lead Architecture
Built a real-time intake and routing system for a mid-sized law firm using Make, HubSpot, custom APIs and Claude-based qualification. Legacy process took 48–72 hours from lead to assignment. New system: sub-10 seconds with 45% higher qualified conversion and routing error margin under 10%. System includes duplicate prevention, SLA timers, and automatic conflict resolution across 12 intake channels.
View Architecture →Immigration Digital Paralegal - Document Review & Escalation
Airtable + Claude OCR + webhook orchestration for immigration case intake. 200+ document types, multi-language extraction, validation rules, and automatic escalation for exceptions. Achieved 100% automated classification and routing with human review only for edge cases. Cut average processing time from 6 hours to 22 minutes per case.
View System →Gapfeed - Autonomous Market Intelligence Network
Network of 5 autonomous agents monitoring forums, job boards, GitHub, news, and developer channels for market gaps and pain signals. Classifies by urgency, buyer intent, and competitor landscape. Publishes free feed used by 2,500+ operators. System includes deduplication, source reliability scoring, and trend clustering across 189,000+ signals to date.
Explore Data →Frontier AI Model Evaluation - Pre-Release Testing at Scale
Operated as adversarial evaluator for OpenAI, Google, and Meta pre-release models across 100+ real business workflows. Measured reasoning, tool-calling reliability, context retention, failure modes, and cost scaling. Produced architecture guidelines for production deployment of frontier models in sensitive workflows. Results informed deployment strategies for multiple Fortune 500 pilots.
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