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Public course
Enterprise AI — Course 16: AI Economics and Value
Practical whole-service economics for AI solutions, using supplied cost, outcome and operating evidence.
AI economicsunit costsbusiness valueservice costsinvestment decisions
By Telari Labs
Enterprise AICourse 16 of 25
Learning on Telari
Created by Telari Labs, delivered through Telari
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AI access
The first managed lesson is included on Free. Continue with Plus or your own supported API key; premium assessments and certificates may require Plus.
Audio
No reviewed lesson audio is currently advertised for this course.
Lesson list
- Outcomes and the economic baselineDistinguish successful work, released time and realisable financial effects.
- Whole-service costBuild a cost boundary that includes the work needed to deliver an acceptable result.
- Fixed, variable and committed costsCompare offers over a consistent period and recognise the effect of unused commitments.
- Cost per successful taskReconcile attempts, outcomes and expenditure using a consistent task denominator.
- Managed and self-operated alternativesCompare complete arrangements, including staffing feasibility and lifecycle costs.
- Sensitivity and uncertaintyIdentify assumptions that can reverse a decision and select useful next evidence.
- New capability and non-cash valueConnect outputs to useful outcomes and evaluate evidence of benefit.
- Investment and stopping decisionsChoose a bounded next action using future consequences and explicit review conditions.
- Final assessment: a defensible economic decisionCombine comparable costs, outcomes, uncertainty and benefit ownership in six focused decisions.