From AI experiments to AI investment discipline.
Most organisations can track AI activity. Far fewer can measure AI value. Enterprise AI Economics gives leaders a structured way to inventory AI initiatives, evaluate value, govern portfolios, and make better investment decisions.
Enterprises are moving from isolated AI experiments to AI investment portfolios. As AI workflows, agents, copilots, and automation systems consume real operating cost, leaders need a structured way to decide which initiatives to scale, optimise, pause, or retire.
This is not a software product page. It is a public framework from the Institute for AI Economics for evaluating, governing, and allocating capital across enterprise AI initiatives.
Build a complete inventory of AI initiatives across the organisation and score each one against business value, feasibility, adoption, risk, and cost.
Move from scattered AI projects to a governed portfolio with decision rights, executive reporting, and clear accountability.
Use evidence from the AI portfolio to recommend where capital should be increased, reduced, redirected, or stopped.
The long-term vision is an enterprise capability where capital can be continuously redirected toward AI workflows and agents that create measurable value.
Illustrative cards and table only. No backend functionality, login, calculator, or database logic is included.
| Initiative | Business owner | Value score | Feasibility score | Risk level | Recommendation |
|---|---|---|---|---|---|
| Sales lead generation agent | VP Sales | High | Medium | Medium | Scale |
| Customer support copilot | Head of Service | High | High | Low | Scale |
| Internal HR chatbot | HR Director | Medium | High | Low | Optimise |
| Marketing content automation | CMO | Medium | Medium | Medium | Incubate |
| Legacy reporting bot | Finance | Low | Low | Medium | Retire |
As enterprises rent intelligence through models, agents, cloud platforms, and GPU-backed services, AI becomes an operating cost and a capital allocation decision. The winners will not simply be the organisations with the most AI projects. They will be the organisations with the best system for deciding which AI capabilities deserve more investment.
The Institute for AI Economics is developing this framework with practitioners, executives, and organisations exploring how to measure and govern AI value.
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