AI Portfolio Governance
AI made building faster. We help you decide which bets deserve funding.
Every team now has more AI ideas than budget. Exponentially.ai turns your AI projects into a managed portfolio of bets, scored on value, evidence, and risk, so the board funds the few that will pay off and stops quietly burning money on the rest.
- 95%
- of enterprise GenAI pilots fail to move the P&L
- $37B
- spent on enterprise GenAI in 2025
- 23%
- of firms can tie AI to revenue or cost
The problem
You don't have an AI problem. You have an AI portfolio problem.
Budgets, pilots, and pressure are everywhere. Measurable return is not. When every function is shipping AI, the hard question isn’t “how do we do AI?” It’s “which of these bets deserve more capital, which need fixing, and which should we kill before they cost us more?”
95%
of enterprise generative AI pilots fail to produce measurable P&L impact.
MIT NANDA, 2025
60%
of firms report minimal revenue or cost gains despite heavy AI investment.
BCG, 2025
Only 23%
of companies can currently tie AI initiatives to new revenue or lower costs.
Bain & Company, 2025
Only 16%
of enterprise AI deployments qualify as true agents, the rest are hype.
Menlo Ventures, 2025
Confidence vs experiments
A board-level portfolio view: confidence on the idea, evidence depth behind it, value as bubble size, and effort in the shortlist.
Exponentially ideas
684 ideas, 136 experiments in account
Stop / explain
Scale / fund
Early / park
Prove next
Confidence
Showing 24 ideas with a confidence value. Effort and value scores are used as metadata, not extra axes.
Shortlist
1. Idea 01
2. Idea 02
3. Idea 03
4. Idea 04
5. Idea 05
The front-door offer
The AI Bets Audit
In two weeks we map your live and proposed AI bets, rank them on value and evidence, and pressure-test the highest-stakes ones with real behavioural pretotypes, so you walk into the board with a defensible call on what to fund, fix, and kill.
What you walk away with
- A mapped portfolio of every live and proposed AI bet across the business
- Value, evidence, and risk ranking for each bet, comparable on one page
- 1–3 pretotypes built on real behavioural evidence for the highest-stakes bets
- A lightweight working demo, concierge workflow, or Wizard-of-Oz agent where useful
- A board-ready funding decision for each bet: fund, fix, or kill
- A recommended next experiment or implementation path for the bets worth backing
01
Map
Surface every live and proposed AI bet into a single portfolio view.
02
Rank
Score each bet on value, evidence, adoption, governance risk, and time-to-impact.
03
Pretotype
Run fast behavioural tests on the high-stakes bets: evidence, not opinion.
04
Decide
Hand you a board-ready call on which bets to fund, fix, and kill.
Who it's for
Built for the people accountable for AI ROI to the board.
Start here if you're a mid-market or enterprise organisation already spending on AI but unable to show which bets are paying off. We work best where AI workflows are expensive, document-heavy, and weighed down by compliance.
Best buyers
Best sectors
Banked
Every dollar is a bet that paid off, or one we never made.
Across 4,000+ experiments, pretotyping has helped enterprise teams generate new value and save on the bets that were never going to work. Toggle the beaker to see each side.
Banked
$68M+
generated and savedFund the test. Save on the rest.
Why us
“We don't sell you AI. We prove which AI bets deserve to exist. Pretotyping was built for exactly this, finding The Right It before you build It right, and we've run it across 4,000+ experiments, helping enterprise teams like Tabcorp, AGL, and RACQ avoid funding the bets that were never going to pay off.”
Leslie Barry
Founder, Exponentially · Pretotyping practitioner since 2017
- 4,000+
- experiments run
- $68M+
- saved on bets not worth backing
- 50+
- enterprise teams
FAQ
What executives ask before mapping their bets
What is a portfolio of AI bets?+
A portfolio of AI bets is the full set of AI projects, agents, and workflows an organisation is funding or considering. Treating them as a portfolio means scoring each bet on value, evidence, and risk, then deciding which to fund, which to hold, and which to stop, instead of approving them one pitch at a time.
What is AI portfolio governance?+
AI portfolio governance is the discipline of deciding which AI investments deserve capital based on evidence rather than enthusiasm. It gives the board and executive a single, comparable view of every AI bet, expected value, the evidence behind it, and the cost of being wrong, so funding decisions are defensible.
How is the AI Bets Audit different from an AI strategy deck?+
Strategy decks rank opinions; the AI Bets Audit ranks evidence. In two weeks we map your live and proposed AI bets, pressure-test the high-stakes ones with fast behavioural pretotypes, and hand you a board-ready call on what to fund, fix, or kill, backed by real data, not a workshop.
How long does the AI Bets Audit take?+
Two weeks. You leave with a mapped portfolio of your AI bets, a value-and-evidence ranking, 1–3 pretotypes on the bets that matter most, and a board-ready funding decision.
Who should run an AI Bets Audit?+
The people accountable for AI ROI to the board, typically the CEO, CFO, CIO, COO, or the leaders of transformation, innovation, and digital. Start here if you're spending on AI but can't yet show which bets are actually paying off.
Why pretotyping?+
Pretotyping, created at Google and taught at Stanford, is the fastest way to get real behavioural evidence before you commit capital. We've run it across 4,000+ experiments for enterprise teams, saving them from funding the bets that were never going to pay off.
Map your AI bets
See which AI bets deserve funding, before the next budget cycle.
We're opening a limited number of private AI Bets Audits. Bring your AI spend; leave with a board-ready call on what to fund, fix, and kill.