Production systems built for real businesses.
Pricing infrastructure, experimentation guardrails, risk simulation, and operational tooling — each case study walks through the business problem, the constraints, the system, and what changed because of it.
From Spreadsheet Review to Agentic Oversight: Rearchitecting Pricing Compliance at Scale.
A RAG + MCP tool layer and Monte Carlo anomaly engine that cut analysis cycle time 70%+ and sustained 99.9%+ accuracy across 1,000+ pricing deployments on a $20B+ lending portfolio.
Experimentation Guardrails: A Validation Layer for High-Stakes Pricing Launches.
A pre-launch validation framework that replaces ad-hoc, per-analyst QA with a shared check catalog — so every pricing experiment and launch ships with a structured, signed review artifact rather than a wiki page and an eyeball.
Risk Approval Simulation: Evaluating Policy Changes Before They Ship.
A simulation framework that turns proposed risk-model and policy changes into structured (population, policy, decomposition) triples — so stakeholders can compare approval, mix, and segment sensitivity before anything ships, with every assumption named as a first-class object.
Operational Intelligence: A Workflow Layer for Fragmented Pricing Deployments.
A bot + workflow layer that subscribes to events across the half-dozen systems a pricing deployment touches and reconciles them into one canonical state — so 'where is this?' and 'who owns the next step?' stop being questions that take four DMs to answer.