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Where do you
stand on your AI journey?

Take this 4-question assessment to see what it takes to level-up.
TAKE THE QUIZ
1.
How are AI initiatives currently structured in your organization?
AI experiments are running in isolated workflows with no connected programs
AI is being deployed but without a consistent operational playbook
A dedicated AI program exists with some cross-functional execution
AI transformation is a claimed C-suite mandate with board visibility and documented EBITDA impact
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2.
How is AI impact being measured today?
It isn't being measured systematically yet
Through qualitative tracking only (adoption rates and sentiment)
Through FTE savings and hours recovered
Connected to hard outcomes: forecast accuracy, close cycle compression, or revenue and margin impact
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3.
What is the state of your data foundation?
Fragmented, data is siloed with no AI readiness
Partially integrated but key workflows still operate independently
Clean and integrated, supporting AI-driven processes
Assessed, documented, and actively maintained as a strategic asset
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4.
Where does C-suite ownership of AI stand?
No clear owner, AI sits with IT or individual teams
Informal sponsorship but no formal mandate or roadmap
A C-suite leader has claimed AI as a priority with some visibility
Full C-suite mandate with board reporting and a defined roadmap
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YOUR RESULTS
Gap to close
You're in the most common position in the market and the most precarious. AI activity is fragmented, measurement is either absent or limited to activity metrics, and the data foundation isn't ready to support what comes next. The distance between here and real AI value is a measurement gap, a mandate gap, and a data infrastructure gap. Each one has to be addressed before anything else compounds.
Optimization opportunity
You have meaningful AI activity underway, but it isn't yet connected into a program that builds toward an exit narrative. Measurement exists but stops short of EBITDA impact. The mandate is real. What's missing is the infrastructure, governance, and board-level visibility to turn capability into a documented track record.
Leading edge
You're in the 9 to 17% of organizations operating at the frontier. AI transformation is owned at the C-suite, measured against hard outcomes, and visible to the board. The next step is governance and agentic infrastructure: supervised autonomy architecture with full audit trails. That's what defensible AI finance looks like in diligence, and the window to build the track record is now.
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