AI strategy and value
Value & Prioritization
Rank investment by business outcome, not by how new the technology is.
Why it matters
"This technology is exciting" and "this investment is worth making" are two different things. Without a clear value ranking, resources spread thin across projects that are hard to validate.
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What it delivers
- Build a shared standard for evaluating AI project value (outcome, feasibility, risk, learning value)
- Apply that standard to current and candidate AI projects
- Produce a ranked investment recommendation, with the reasoning behind each trade-off
When it applies
When multiple AI projects are competing for the same resources and a decision is needed.
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