Use Cases
Real-world workflow automation and systems we've built across D2C e-commerce, marketing, data intelligence, and financial services. Each case study has its own page—click through for the full story.
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AI Copilot for Custom DSL — Augmenting a 30-Engineer Team
Data Intelligence · E-Commerce AnalyticsManual DSL template writing didn't scale — we built a multi-agent AI that generates drafts so engineers review instead of write.
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One Model Replaces 300 — Unified Multi-Taxonomy Product Classification
Data Intelligence · E-Commerce Analytics300 models to train and maintain — we designed one unified hierarchical model for all taxonomies.
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Risk Scorecards Augmented with Unstructured Data for US Lending
Financial Services Operations · Lending · Risk & ComplianceWe built risk scorecards and analytical pipelines for a US payday lender operating across multiple states, serving both consumer and small-business lending. We delivered traditional scorecards (bureau data, application fields, behavioral signals) and robust ETL so operations could rely on a single, consistent risk view. On that same engagement type we also deliver an AI layer that uses unstructured data—application free text, underwriter notes, document content—to refine the score or flag edge cases that structured data alone misses.
Market Sentiment Signals for Traders — Extending a Trading Platform
Financial Services Operations · Trading & RiskWe built a system that extends an existing trading platform with an additional signal for traders: market sentiment per asset. The system scrapes the web for news, social chatter, and other public sources, then derives and suggests market sentiment for each crypto token (or other traded asset). Traders get an extra, data-driven input alongside price and volume—so they can factor in what the market is "feeling" about each token without manually scanning the web.
Configurable Underwriting Decision Workflow for US Payday Lender
Financial Services Operations · Lending · Risk & ComplianceWe designed and specified an operational underwriting workflow system for a major US payday lender. The system gives the underwriting team a single, rule-driven interface to process leads end-to-end: from lead intake to an accept/decline decision, with business rules, credit bureau integrations, and A/B testing fully configurable by operations—no engineering required for routine changes.