CFO Financial Health Intelligence Platform • Architecture & Integration Strategy
Prepared by Max Bellomy
Enginuity is a financial planning and growth intelligence platform exclusively for the CFOs of $10M-$150M custom manufacturing companies.
Enginuity is NOT a generative chatbot for department heads. It is a highly constrained data processing and visualization pipeline. The AI's role is strictly restricted to data structuring, anomaly detection, and predictive financial modeling based only on historical, hard floor data. No feature bloat.
Mid-market manufacturers rely on deeply entrenched, on-premise ERPs (JobBOSS, E2, Epicor) that lack modern, clean APIs. Custom API development per client destroys unit economics and ROI timelines. Manual Excel uploads create fatal adoption friction.
The client's ERP is configured once to run standard scheduled queries (WIP, Labor, Billings) and export them as CSV files locally at 2:00 AM.
A secure, lightweight SFTP script automatically pushes these files to an encrypted AWS S3 bucket dedicated to the client. Zero human touch.
Enginuity's AI Structuring Agent maps the messy CSV columns into our strict, standardized Trinity Graph database schema.
Uses LLMs purely for semantic mapping (e.g., understanding that "Lbr_Hrs" and "Direct_Labor" both map to our canonical "Labor Hours" metric). Converts tabular flat files into structured relational data.
Calculates the core CFO metrics (Value-Added Margin, Operating Margin Bleed). Runs deterministic anomaly detection to flag jobs where labor efficiency variance exceeds historical standard deviations.
A strictly read-only, high-fidelity React dashboard for the executive. Displays kill-criteria alerts, capacity constraint warnings, and trailing 12-month margin trajectories.