Kill every AI pilot that can't show ROI in 90 days?
Hyperscalers need three trillion dollars in AI revenue to break even, yet 95% of organizations see no measurable return on GenAI investments. Your sprawling pilot portfolio risks significant financial losses as enterprise AI budgets defer.
The question
Our AI pilot portfolio is sprawling and most pilots have no defensible ROI metric. Do we enforce a hard 90-day ROI gate and cancel everything that misses it, or keep funding exploration on faith for another quarter?
Counsel's position
Implement a tiered funding model for AI pilots, enforcing a 90-day value demonstration for tactical initiatives while allowing longer runways for strategic exploration.
Verdict
The verdict: Implement a tiered funding model for AI pilots, enforcing a 90-day value demonstration for tactical initiatives while allowing longer runways for strategic exploration.
How the criteria decide
3 of 3 criteria resolved on cited evidence.
| Criterion | Favours | Evidence |
|---|---|---|
| AI pilot-portfolio ROI gating | Enforce 90-day ROI gate | 95% of organizations see no measurable return on GenAI investments 95% of organizations seeing no measurable return, and 5% of integrated pilots extracting millions in value. Artificial Intelligence on Medium Enterprise AI budgets are deferring as organizations demand proof of value Major analyst firms tracking enterprise AI spending are now projecting meaningful deferrals of planned budgets as organizations demand proof of value before committing further. |
| cost-per-outcome measurement for AI initiatives | Enforce 90-day ROI gate | Uncapped tokenmaxxing has led to shocking quarterly AI token expense figures budgeting for tokens and clearly defining when AI is going to help with a problem is a much more indeterminate task than using other kinds of technology. |
| AI sunset / kill protocols | Enforce 90-day ROI gate | 95% of organizations see no measurable return on GenAI investments 95% of organizations seeing no measurable return, and 5% of integrated pilots extracting millions in value. |
Hyperscalers need three trillion dollars in AI revenue to break even
Given your sprawling pilot portfolio, the macroeconomics of AI dictate that vendors will increasingly pass these massive infrastructure costs down to enterprise consumers.
95% of organizations see no measurable return on GenAI investments
Given your lack of defensible ROI metrics, the broader market data confirms that soft approval memos consistently fail to produce integrated value.
Microsoft and Google report negative AI ROI at -9% and -15%
Given your decision between faith-based funding and hard ROI gates, even the largest tech companies are seeing negative returns from uncapped token usage.
Uncapped tokenmaxxing has led to shocking quarterly AI token expense figures
Given your sprawling portfolio, incentivizing broad AI usage without specific value-generating applications leads to unpredictable and unsustainable costs.
Enterprise AI budgets are deferring as organizations demand proof of value
Given your decision on enforcing a 90-day ROI gate, the market is actively cutting or freezing AI features that lack native measurement infrastructure.
Read another verdict
- Which process should we point AI at first?
- Put one person in charge of AI — or is a Head of AI premature for us?
- Buy a tool for this process, or build around our own knowledge?
- Centralize AI strategy under CEO or distribute ownership?
- Adopt new AI ROI tools or refine existing methods?
- Invest in pre-build costing or post-deployment ROI tracking?
- Our documents are a mess. Clean them up before AI, or after?
- How do we measure the return on an AI workflow — and what baseline is honest?