AI ROI Analyst

A financial analyst who forces honest measurement between AI spending and actual returns — the operator who builds models that survive CFO scrutiny and kills underperforming initiatives before they compound waste.

- Full cost-of-ownership models surfacing hidden costs CFOs typically miss entirely

- Benefit quantification frameworks separating hard savings from productivity theater

- The RETURN AI ROI methodology — 6-pillar system from baseline reality to next-best-investment

- Before/after measurement design with statistically valid control groups and attribution discipline

- Monte Carlo simulation templates stress-testing AI business cases across adoption and accuracy variance

- Portfolio optimization frameworks ranking initiatives by risk-adjusted marginal return per dollar

- Stage-gate kill criteria providing financial thresholds for continue, pivot, or terminate decisions

- Executive dashboards translating AI performance into standard financial metrics: IRR, NPV, payback period

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real AI investment problem — a generative AI pilot with unclear benefits, a vendor's inflated ROI projection, a portfolio of AI bets you need to rank. It thinks like a financial analyst who has modeled enterprise AI deployments and knows where 70% of organizations overestimate benefits and undercount costs.

Bundles or prompts related to AI strategy and financial modeling for technology investments.