Forward Finance Index
Finance is betting big on AI. Are leaders ready?
The Forward Finance Index benchmarks leaders and followers navigating the era of artificial intelligence (AI) across Forward Finance Blueprint dimensions on AI readiness.
What does the market look like right now?
Most Finance organizations report confidence across every dimension the Index measures. Yet most fall short on the underlying capability. Only 6% clear the bar on all five dimensions. In other words, most organizations are ambitious, but struggling to follow through.
Only 6% of chief financial officers (CFOs) are AI ready
1,300
CFOs and Finance leaders surveyed
6%
qualify as Forward Finance Leaders*
52%
remain Forward Finance Followers
Finance’s AI reality check
Decision velocity is now a competitive advantage. Finance is at the center of it.
The role of Finance has fundamentally changed. Instead of just closing the books on the last quarter, Finance is also shaping strategy in real time while conditions are still moving. Economic and geopolitical volatility has made that expectation permanent.
Today, what separates leading Finance teams is decision velocity: the speed at which an organization can read a signal, price its consequences, and act.
AI accelerates this decision-making, but also raises the stakes. Finance can't accept an answer it can't trace, defend to an auditor, or explain to a board. That’s precisely why experimentation is no longer a useful measure.
"AI is advancing faster than Finance is transforming."
- Tim Minahan, Chief Strategy Officer | OneStream
How ready is Finance for AI?
Ambition is high, but meaningful execution is trailing.
The Index exists because most self-assessments have stopped being reliable. While Finance leaders can tell you their AI ambition, very few can tell where their readiness falls short.
Each of the 1,300 organizations was scored out of 100 across five equally weighted dimensions. Organizations were then ranked into quartiles per dimension and grouped by how many dimensions organizations placed in the top half.
Data steward
Instills data transparency over perfection.
AI Strategist
Elevates AI from experimentation to enterprise value.
It collaborator
Turns Finance-IT collaboration into a strategic alliance.
workforce architect
Builds a human + AI workforce fit for the future.
chief operator
Places Finance at the center of operational decision‑making.
Forward finance Index
Where does your organization stand?
Takes about five minutes
The benchmark results across the five dimensions
Trusted, transparent, decision-ready data.
The narrowest Leader-to-Follower gap in the model. Core data governance is becoming table stakes, though performance still varies widely.
- End-to-end view of data lineage across systems
- 71% market average
- 86% Leader average
AI governance, adoption, and measurable return.
The hardest dimension in the model. Lowest-scoring even among Leaders, and the largest Leader-to-Follower separation of all five dimensions.
- Finance owns defined key performance indicators (KPIs) for AI impact
- 68% market average
- 85% Leader average
Operational visibility, decision velocity, and influence.
Leaders aren’t just involved in more decisions. Leaders also close the loop, tracking whether the decisions they informed delivered what was expected.
- Near-continuous planning model in operation
- 62% market average
- 81% Leader average
Finance and IT alignment, governance, and shared roadmap.
The Leader advantage widens as data gets more complex. On unifying market data, Leaders reach 88% against 62% of Followers.
- Finance and IT co-define the data and AI strategy
- 66% market average
- 81% Leader average
Skills, talent readiness, and role redesign.
The single widest behavioral gap anywhere in the research. Leaders treat workforce readiness as strategy rather than a training budget.
- Learning and development effective at AI upskilling at scale
- 76% market average
- 97% Leader average
Where Finance leaders pull ahead
The narrowest gap is seen in the Data Steward dimension, suggesting that core data capabilities are becoming table stakes. While performance still varies, the market is beginning to converge around the fundamentals of data management and governance.
The greatest gaps emerge in AI Strategist, IT Collaborator, and Workforce Architect. These areas are where competitive advantage is increasingly being won:
- Embedding AI by design
- Scaling outcomes through strong technology partnerships
- Equipping the workforce to operate in new ways
AI Strategist is shown to be the hardest to master of the five dimensions. As the lowest-scoring even among Leaders, this dimension shows the biggest Leader–Follower gap of all. The message is clear: Translating AI ambition into operational impact is where Finance succeeds or stalls.
leader
adopter
Follower
Advancer
Data steward
leader
adopter
Follower
Advancer
Ai strategist
leader
adopter
Follower
Advancer
Chief operator
leader
adopter
Follower
Advancer
IT collaborator
leader
adopter
Follower
Advancer
Workforce architect
Why is Forward Finance maturity so rare?
To qualify as a Forward Finance Leader, organizations must demonstrate strong performance across all five dimensions of the model. So why are so few not meeting the mark?
Execution matters just as much as financial resources.
Leaders generate the highest average revenue at $13.9 billion. But Advancers $10.3 billion, Followers ($10 billion), and Adopters ($9.8 billion) sit within roughly $500 million of one another. Scale doesn't buy readiness. Execution does.
So, what’s holding Finance back?
- 71% are confident they provide trusted data for decision-making.
- 40% call their financial reporting data fully transparent.
What it means: AI doesn't repair a weak data foundation. AI exposes the weakness. 4 in 10 executives report that data quality issues regularly block or delay AI projects.
AI is already inside close, forecast, and reconciliation. Enterprise value is another matter.
- 74% say AI has reduced manual intervention.
- 14% say AI has reached enterprise value and decision impact.
What it means: Only 15% report measurable return on investment (ROI) from more than half of their AI use cases. Activity is being counted as progress.
Finance is in the room more often, but unfortunately often joins too late.
- 73% proactively approach business units with efficiency recommendations.
- 17% rate their early-warning capability as leading.
What it means: Finance is fully embedded as a strategic partner in operations at 29% of organizations, sales at 25%, and product at 20%. Late involvement means retrospective reporting.
Finance and IT agree on the destination. But they’re working from different maps.
- 71% describe Finance and IT as strategic partners.
- 15% have a fully integrated joint roadmap with shared KPIs.
What it means: 3 in 10 Finance executives still experience IT as a reactive partner. Shared intent without shared accountability keeps innovation local.
Organizations know their people decide whether AI value lasts. Few have funded that conclusion.
- 66% believe failing to prepare the workforce leads to irrelevance within 5 years.
- 15% have a fully embedded AI skills program.
What it means: More than half (52%) name workforce capability, not technology, as the primary barrier to AI adoption.
What do Forward Finance leaders do differently?
Why the top 6% pull ahead
Leaders haven't solved AI. They still score lowest on AI Strategist, and only 39% treat AI as a multi-year transformation priority with leadership sponsorship. What separates Leaders is that their advantages are repeatable rather than occasional.
Leaders don't chase perfect data. They chase decision-ready data, then test it in live forecasting and close projects before scaling anything.
Leaders own the scoreboard. They define KPIs for the productivity, cycle time, risk, and financial impact of AI. They also redesign the process rather than layering AI onto a legacy workflow.
Leaders close the loop operationally. They track whether the decisions they informed actually delivered and update assumptions continuously instead of annually.
Leaders co-own the architecture with IT, sharing formal governance for data and AI platforms rather than escalating requests into a queue.
Leaders treat workforce readiness as strategy, not training. This approach is where the separation is starkest.
Behavior
Learning and development effective at AI upskilling at scale
Finance owns clearly defined KPIs for AI impact
Near-continuous planning model in operation
Finance and IT co-define the data and AI strategy
End-to-end view of data lineage across systems
76%
68%
62%
66%
71%
Only 6% of organizations qualify as Leaders. What characteristics make them lead?
upskilling at scale
continuous planning
shared Finance and IT ownership
Confidence in trusted data runs at 93% among Leaders and 64% among Followers. On using AI to generate operational performance insight, Leaders reach 68% against 39% of Followers. Governance, decision speed, and workforce capability are the real differentiators.
The Forward Finance AI operating model
How to get results
The model turns five diagnostic questions into a sequence:
- Can we trust our data? — Data Steward
- Can we turn that data into measurable value with AI? — AI Strategist
- Can we turn insight into enterprise-wide action? — Chief Operator
- Can we govern and scale AI systems alongside IT? — IT Collaborator
- Can our people sustain the change? — Workforce Architect
The Forward Finance Blueprint is the bridge between knowing your score and changing it. It's the path from Follower to Leader.
The OneStream Forward Finance Index
Self-Assessment Quiz
Is your Finance function embracing the Forward Finance model to compete with the AI-ready organizations of tomorrow? Find out here.
What you get
To help you determine where your organization currently stands against the Blueprint, and to learn what separates the organizations that are pulling ahead, we built the OneStream Forward Finance Index. Answer a few short questions about your Finance team and get a personalized Forward Finance snapshot.
Your overall performance group and composite score
A maturity level for each of the 5 dimensions
Where you should focus your Finance efforts next
This self-assessment takes about five minutes. Answer based on where your organization stands today, not where you’d like it to be.
1
Overall, how reliable is the data you rely on across the following business areas — meaning it's accurate, traceable back to its source, and comes with enough context to act on?
Scale: 1 = Not reliable (can't trace it, low accuracy, no context); 5 = Fully reliable (traceable, accurate, decision-ready)
Financial reporting
2
3
4
5
NOT SURE
Forecasting & planning
1
2
3
4
5
NOT SURE
Close & consolidation
1
2
3
4
5
NOT SURE
Cost & expense
1
2
3
4
5
NOT SURE
Where does your organization stand?
Most Finance organizations believe they're progressing on their AI initiatives, but statistically, they’re not meaningfully moving forward. The Index gives you something more useful than that belief: a position, a peer comparison, and a specific list of what's holding you back.
6% of the market has built the operating behaviors that make AI hold at scale. That number is small enough to be an opportunity. The organizations that close these five gaps first will be the ones setting the pace of decisions everyone else has to match.
