Decision Tools

Financial models for
technology decisions

Interactive calculators built for CXOs and their teams. No login. No vendor affiliation. Change any input and the model recalculates instantly.

AI Infrastructure Economics Series

Cloud vs. On-Premises Cost Calculator

8-year NPV comparison with crossover year detection. Models workload growth, cloud discount tiers, hardware refresh cycles, staffing costs, and depreciation tax shield. Three preloaded scenarios.

Infrastructure · NPV · Crossover Analysis
Open →

AI GPU Infrastructure Calculator

Cloud vs. on-premises GPU economics. H100/A100/L40S/A10G pricing. Training vs. inference workload split. Utilization break-even analysis. Power cost with PUE. MLOps staffing.

GPU Economics · Training vs. Inference
Open →
In Development

The AI Decision Series — a structured framework for the five tiers of AI adoption, each with a financial model.

Buy vs. Build AI Decision Model

Enterprise AI software vs. point tools vs. custom ML — TCO comparison with time-to-value curves.

Coming Soon
Soon

ML in Production — True Cost Model

Hidden costs after deployment: data pipelines, model drift, retraining cycles, feature stores, MLOps overhead.

Coming Soon
Soon

AIOps & AI-Augmented SDLC ROI

Productivity uplift model for GitHub Copilot, Azure Document Intelligence, automated QA, and AI-assisted code review.

Coming Soon
Soon
Methodology

All tools use standard financial modeling conventions: straight-line depreciation, compound growth, after-tax NPV discounted at WACC. Cloud pricing sourced from AWS/Azure/GCP public rate cards. GPU hardware costs from Dell/Supermicro published SKUs. Every formula is visible in the tool. These are starting points for analysis, not substitutes for vendor quotes and CFO review.

Questions on methodology or custom scenarios: contact us.