Skills / Prove the Value / AI outcomes
Earned vs Burned

AI Delivery Value

Scores delivery work against a five-level outcome hierarchy, so you report value earned, not effort and tokens burned.

Private skill · shared by invitation · How access works

Illustrative output of AI Delivery Value: Scores delivery work against a five-level outcome hierarchy, so you report value earned, not effort and tokens burned.
Illustrative output with sample data.
The challenge

You are reporting tokens consumed to a board that asked what you achieved.

Activity as value

Story points, velocity and tokens stand in for outcomes.

No verification

Work is marked done without a business signal that confirms it.

AI spend without return

Usage grows, and nobody can show what it produced.

Optimistic scoring

Ambiguous work gets the benefit of the doubt.

How it works

From first question to finished output.

Pull the work

Tasks from your delivery tool or an export.

Map to five levels

Each task gets a gate. Ambiguous status scores at the lower level.

Compute the metrics

Earn Rate, Outcome Verification and Earned per token.

Coach

Every report ends with the question: what verifiable outcome confirms this is done?

What you get

  • Five-level outcome hierarchy
  • Earned per token as an efficiency measure
  • An instrumentation approach for AI delivery

What goes in

Delivery records, AI usage data, outcome definitions agreed with the business.

Time to answer

As a consulting engagement6 weeks2 people · 12 consultant-weeks
Running the skill1–2 hoursone sitting, start to finished output

What it still needs from you

Agreeing what counts as an outcome. The hardest part, and not automatable.

Also in Prove the Value

See where this fits in the sequence →

See AI Delivery Value in action.

Thirty minutes with Harveer, on your own data problem.