Develop a concept for an AI product or service and test whether customer value and costs fit together. Define the customer task, compare an alternative and specify data needs, human review and operational responsibility.
In the course case, 100 customers paying 50 monetary units each, variable costs of 35 per customer and fixed costs of 2,000 produce a monthly loss of 500. At 200 customers the same assumptions yield a surplus of 1,000. Distinguish assumed demand from evidence and examine how additional review costs change the result.
Take away your product concept, a plan for a limited pilot and an editable calculation with explained formulas. Use them to test new volumes and costs and discuss the proposal with product development, sales and operations. An example case is available for confidential or incomplete information.
What you will work on
Define the customer task and AI service boundaries in a product proposition
Compare cost and benefit assumptions for two solution options
You calculate results for 100 and 200 customers under identical cost assumptions.
Who it is for
Product managers
Business development leaders
Leads responsible for AI services
Topics
Customer tasks and solution alternatives
Service commitments and error tolerance
Data access and human review
Unit costs, operating effort and demand assumptions
Pilot scope and decision preparation
Your result
Your calculation connects price and demand with fixed costs, variable costs and human review. Use it with the service description to test new assumptions for your offering.
Prerequisites
Basic experience in product or business development and an offering to work on. Anonymised cost estimates or an example case are sufficient.
Format and approach
The self-paced course is planned for 8–10 hours. Work through guided comparisons and use explained self-checks to revise your draft. Personal coaching is not required.
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