Analysis, frameworks, and case studies on demand forecasting, commercial assumptions, business cases, and investment decisions.
Insights
The Burden of Proof Behind the Pitch
A strong idea may earn attention, but investment requires more. The person making the pitch has a responsibility to show why the opportunity deserves scarce capital, resources and attention—and why the evidence supports taking the risk.
From AI Pilot to Scaled Investment
A successful AI pilot can demonstrate technical feasibility, but scaling requires a broader investment case. This article examines the additional commercial, operational, and financial evidence needed before an organization commits materially more capital.
The Validation Gap: Why Faster Product Development Makes Demand Evidence More Important
AI is making products faster and cheaper to build, but speed does not prove demand. This article examines the gap between technical feasibility and commercial validation—and the evidence companies need before committing further investment.
The Forecasting Paradox: Why Capital Tightening Exposes Weak Demand Models
As capital becomes more selective, weak demand assumptions become harder to hide. This article explores why tighter investment conditions expose fragile revenue forecasts—and why demand evidence should precede the financial model.