Benefit definition
What counts as a benefit, who books it and where it lands in the P&L — agreed with finance before launch.
Adoption & Value
One number, agreed with finance, tracked every month.
The problem we solve
Most AI benefit reporting is a slide, not a ledger. We define benefits with finance up front, instrument the measurement, and report realised value monthly against the original case — including where it fell short.
What counts as a benefit, who books it and where it lands in the P&L — agreed with finance before launch.
Pre-launch measurement so improvement is provable rather than asserted.
Telemetry, control groups and finance data joined into one benefit ledger.
Value per use case, cost to run, and net contribution reviewed on a fixed cadence.
Clear recommendations to scale, sustain or stop each use case based on realised numbers.
How the engagement runs
Benefit taxonomy, ownership and measurement approach agreed with finance.
Baselines captured and telemetry joined to financial data.
Monthly reporting cadence and quarterly portfolio review.
Common questions
Related practices
Role-based curricula, champion networks and adoption measurement that move teams from curiosity to daily discipline.
ViewProcess redesign, role impact mapping and workforce transition planning for the humans on the other side of automation.
ViewBoard education, scenario sessions and decision support for leaders who must approve AI investment and risk.
ViewA 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.