SuiteWorld 2025 Wrap-Up: Where AI Meets Enterprise Planning  

Pivot2’s take on what it means for finance and EPM leaders


SuiteWorld 2025 marked a turning point for the NetSuite community — and for finance teams getting ready to make AI real inside their business. 
 
From NetSuite Next to Advanced Predictions in EPM, the message was clear: AI is now built in, not bolted on. And the week that followed — Oracle AI World 2025 — confirmed how deeply these capabilities are being embedded across the enterprise stack, reshaping how CFOs and finance teams plan, forecast, and interpret performance. 

We’ve been sharing day by day recaps over on our blog:

Or, below we break down the key announcements as we share what it is, why it matters and when it’s coming.
 
For finance leaders, this next chapter in Enterprise Performance Management (EPM) isn’t about adding more tools — it’s about building the intelligence into the foundation. 

No limits sign at SuiteWorld 2025

NetSuite Next — Where Your Business Meets AI

Evan Goldberg’s keynote introduced NetSuite Next, signalling a new era where AI sits natively inside NetSuite, not as an external integration. 
 
With the new “Ask Oracle”, AI will start operating directly within the finance environment — running reconciliations, predicting anomalies, and guiding workflows — all within the same secure Oracle Cloud Infrastructure that powers NetSuite today. 
 
Pivot2’s take: 
This evolution brings AI to where finance teams already work, but its effectiveness will depend on the quality of what sits beneath — the data structures, business logic, and planning models that feed it. 
 
AI is inherently non-deterministic; it produces probabilistic outputs that can vary each time, without the audit trail finance relies on. That’s why the planning model remains essential — it provides the structure, governance, and traceability that turn AI’s insights into decisions leaders can trust. 


Advanced Predictions in NetSuite Planning & Budgeting (NSPB)

One of the biggest announcements for EPM was Advanced Predictions, bringing multivariate forecasting directly into NSPB. 
 
Until now, forecasts typically projected trends from historical results. Advanced Predictions changes that — it can now consider multiple business drivers such as economic conditions, statistical indicators, or operational inputs like marketing spend or workforce changes to generate more accurate forecasts. 
 
For example: 
A retail company could combine its historical sales with interest rate movements, consumer sentiment data, and advertising spend to predict future revenue. The model might reveal that, despite historical growth, tightening sentiment and reduced marketing investment could soften demand — allowing finance to plan for the impact before it happens. 
 
Pivot2’s take: 
This is a move from reactive to context-aware forecasting. By analysing a broader set of drivers, AI can help explain why results change — not just how much. Yet it’s equally important to remember that AI’s forecasts are probabilistic, not definitive. The human role remains critical — defining drivers, validating assumptions, and interpreting results through the lens of sound financial logic. 


NSAW Infographics — Turning Analytics into Storytelling

NetSuite Analytics Warehouse (NSAW) introduced Infographics, a more visual, narrative-driven way to communicate financial insights. 
 
Rather than relying on static dashboards or dense tables, Infographics allow finance teams to translate complex data into intuitive visuals that can be shared instantly across leadership. 
 
For example: 
A CFO could turn a profitability variance analysis into an infographic that shows — at a glance — how regional performance, input costs, and margin shifts contributed to the result. 
 
Pivot2’s take: 
Infographics reflect a broader trend in finance: moving from data reporting to data storytelling. As AI automates analysis, the differentiator becomes interpretation — communicating insights clearly and credibly. Technology can surface the patterns, but humans still provide meaning. 


AI in NSAW — Insights Without the Data-Science Degree

AI is now embedded directly into NSAW through Auto Insights, powered by Oracle’s AI Assistant. Teams can ask natural-language questions such as “Why did margin drop last quarter?” and receive instant, contextual explanations drawn from multiple data sources. 
 
Pivot2’s take: 
This breaks down the barrier between data and decision — but it also raises the stakes for data governance. When AI generates answers on demand, finance needs confidence that the definitions, hierarchies, and mappings behind those answers are sound. AI will tell you what it sees; only disciplined data structures ensure it’s looking at the right thing. 


Oracle AI World 2025 — What’s New in EPM for Finance Leaders

At Oracle AI World 2025, the message for finance was clear: EPM is getting smarter, faster, and more connected. 
 
Key announcements included: 
- AI-powered planning agents that can trigger what-if scenarios, run variance analysis in real time, and respond to natural-language prompts — allowing finance to test assumptions the moment conditions change. 
- Generative AI narrative summaries within EPM reports, automatically explaining insights such as margin movements or budget overruns — reducing manual commentary and increasing consistency. 
- Tighter integration across planning, consolidation, and analytics, creating a more continuous flow between forecasting and actuals rather than isolated cycles. 
 
Why it matters for CFOs: 
These updates make it possible for finance teams to move from static budgets to continuous, adaptive planning — where forecasts evolve with the business. Insights can be surfaced instantly and in plain language, freeing up time for interpretation and strategy. 
 
Pivot2’s take: 
The value for finance leaders lies in the connection between automation and accountability. AI will accelerate planning, but clarity of design, data trust, and governance will determine whether it creates confidence or confusion. The future of EPM belongs to organisations that pair intelligence with integrity. 


Final Thoughts — Built In, Not Bolted On 

Between SuiteWorld and AI World, Oracle made one thing clear: the future of enterprise performance management is built in, not bolted on. 
 
For CFOs, that means the focus is shifting from tools to trust. AI will automate, predict, and narrate — but it still relies on clean structures, clear logic, and credible data to deliver insight that stands up to scrutiny. 
 
Winning finance teams won’t just use AI; they’ll design it — combining automation with human interpretation to deliver forecasts that are both intelligent and explainable. 
 
Because in the end, the power of AI in finance isn’t in replacing judgement — it’s in amplifying it. 

Curious what these updates mean for your finance team?

If you’d like to talk through how these changes could apply to your business, reach out to our team — we’d be happy to schedule a time to chat.

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SuiteWorld 2025 — Day 3 recap: conversations, connections and culture