StressTester: AI-Assisted Financial Stress Testing Engine
An end-to-end Next.js application that combines deterministic financial simulations with a 4-stage AI pipeline to extract assumptions, generate stress scenarios, compute KPI deltas, and produce mitigation playbooks for enterprise finance teams.
StressTester is a financial stress testing platform that lets finance teams explore how operating plans, cash flow, and KPIs behave under real-world shocks. It replaces brittle spreadsheet-based models with a repeatable pipeline that maintains clear lineage from structured inputs through shock propagation to outcome dashboards and actionable mitigations.
The core of the system is a deterministic stress engine that ingests structured financial data — P&L, balance sheet, cash flow, and operating metrics — and applies shock vectors (revenue declines, cost increases, liquidity compression) to propagate KPI deltas across baseline vs. stressed trajectories. This engine is the source of truth and is never mutated by AI outputs, enforcing a strict separation between deterministic calculations and generative workflows.
Layered on top is a 4-stage AI pipeline: assumption extraction pulls business drivers (pricing, churn, utilization, margin) from uploaded operating plans; scenario generation produces risk-aligned stressors across market, revenue, cost, and liquidity dimensions; mitigation playbooks draft actionable responses tied to specific stress drivers; and an executive summary stage produces decision-ready narratives. Each AI output is forced through validated schemas before ingestion — invalid responses are rejected and re-requested.
Safety and governance are first-class concerns. The system prohibits the AI from generating “recovery” scenarios as stress outputs — mitigations are the only approved improvement pathway. Determinism and AI remain cleanly separated so that core KPI calculations are always auditable and reproducible regardless of whether the AI workflow is enabled.
The frontend is built in Next.js with TypeScript and provides dashboards for KPI trajectories, scenario timelines, mitigation playbooks, and detailed data tables. The project is deployed on Vercel and designed with a forward roadmap toward ERP/CRM data connectors, industry-specific scenario packs, audit trails for compliance, and policy controls for AI workflow governance.