The ROI Credibility Problem
CFOs have seen too many AI business cases built on aspirational projections. A credible ROI methodology needs verifiable baselines, conservative assumptions, and clear attribution.
The 4-Step ROI Framework
- Baseline Measurement: Document current costs, cycle times, and error rates with granular precision
- Pilot Validation: Run controlled pilots with measurable before/after comparisons
- Scaled Projection: Extrapolate pilot results with decay factors for organizational friction
- Continuous Tracking: Monitor actual ROI post-deployment against projections
uFlo.ai clients typically see 3-5x ROI within the first year, validated against pre-deployment baselines.