Andre Magrini | AI Revenue Architect
Forecast accountability: make the commitment traceable
Hypothetical methodological example. This is not a client case or a measured accuracy improvement. It explains a decision process and does not establish that AI improves a forecast.
A confident quarterly forecast can conceal unresolved delivery, installation or buyer acceptance dependencies. In physical B2B, a revenue commitment needs an evidence trail that connects the commercial expectation to operational feasibility.
The decision
Commit a revenue expectation, retain an explicit range of scenarios, or defer commitment until a critical dependency is documented. The revenue leader owns the forecast. Finance defines revenue recognition, and operations verifies delivery feasibility. An AI recommendation cannot approve the forecast.
Define the evidence contract
Freeze an as-of date, currency, revenue unit, recognition basis, forecast horizon and eligible deal set. Every deal needs an identifier, amount, customer next step, commercial status, delivery dependency, evidence date and owner. Keep private records within approved systems.
A practical sequence
- Preserve the unmodified baseline. Separate pipeline value, signed orders, scheduled delivery and recognized revenue.
- Review stale and missing evidence before model assistance. An algorithmic probability cannot substitute for a buyer commitment.
- Build scenarios around confirmed feasible delivery, documented contingent delivery and unresolved or excluded items. These are decision scenarios, not calibrated prediction intervals.
- When AI assists, record input provenance, available model/version, recommendation, material assumptions, human decision and override reason.
- Freeze the forecast before the outcome. Reconcile against the same recognition basis and eligible deal set. Log revisions separately.
- Review bias, absolute error and dependency failures across comparable periods. One period cannot establish predictive superiority.
An illustrative decision
Hypothetical deal H-01 has a signed order but no verified installation date. Keep the order in backlog and defer a recognized-revenue commitment until operations confirms feasibility. This is a rule illustration, not an observed outcome.
Working record
As-of date | deal ID | source | amount/currency | recognition rule | buyer evidence | delivery constraint | baseline forecast | assisted recommendation | human decision | override reason | actual outcome | reconciliation note.
Measurement once actual data exists
Signed error equals forecast minus actual. Absolute error is the absolute value of that difference. Bias is mean signed error across comparable periods. Report the period count and changed coverage. Do not use percentage error when actual is zero, and do not combine incompatible currencies or horizons.
What success means
An authorized reviewer can reconstruct the commitment and explain why it changed. Claiming superior accuracy requires a prospective comparison with a frozen baseline and equivalent data.
What exactly is being forecast? Who approves an override? Which dependencies are outside the model? Can a reviewer reconstruct the last forecast miss?