From insight to action on the same platform. We package AI use cases for the CFO — anomaly detection, forecasting, commentary generation and analyst chat — built on quality-assured data.
From insight to action on the same platform. We package AI use cases for the CFO — anomaly detection, forecasting, commentary generation and analyst chat — built on quality-assured data.
AI built directly on your quality-assured data — not next to it. The result: insights you can trust and act on.
Your ERP and business systems plug into the platform.
Chat with your data in natural language.
AI finds anomalies and patterns automatically.
Get recommendations that drive decisions.
Three ways Exopen AI makes a difference – from understanding the business to faster decisions.
Exopen AI is built for finance teams and works directly on the harmonized financial model of the business. That lets AI understand the relationships between companies, business units, customers, products and cash flow – and deliver faster, more accurate insights than generic AI tools.
Exopen AI helps finance teams analyze variances, understand change and generate decision support directly on operational data. From management commentary to root cause analysis and drill-through to transaction.
Exopen AI helps finance teams reduce manual analysis and quickly understand how change affects the business. Answer complex questions, identify relationships and analyze variances directly on the same data foundation that forecasting and reporting are built on.
"Why did the margin drop in the Nord business unit last quarter?" — AI analyses changes in costs, customers and product mix automatically.
"Which projects or customers will impact cash flow most over the next 90 days?" — Spot risks, tied-up capital and negative trends earlier.
"Summarise the key changes of the month for the board." — Generate commentary and decision support based on actuals and forecast.
Exopen AI is an analytics and decision engine built on Exopen's harmonized financial and operational data platform. Because the AI layer is trained directly on a quality-assured data model and metadata, you can ask questions in natural language and receive answers, explanations, and automatically generated charts. This makes it possible to perform anomaly detection, trend analysis, and root cause analysis directly on a reliable foundation.
The biggest barrier to AI in finance is access to clean, connected, and structured financial data. AI in Exopen is viewed as a result of good data quality and is built on a model-driven, harmonized data model with built-in data governance, lineage, and quality rules. When AI is applied to governed and quality-assured data, incorrect conclusions are prevented, which raises the quality of decision support and facilitates audits.
Exopen AI streamlines analysis work by providing quick answers to complex financial questions and reducing analysis time from hours to seconds. Through built-in anomaly detection and trend analysis, the finance team can identify risks and opportunities at an earlier stage. Because reporting, planning, and AI are combined in the same data model, the quality and precision of decision-making are elevated throughout the entire organization.
Many traditional BI solutions lack built-in AI on modeled financial data as well as self-service for business logic. Exopen AI is instead built directly on Exopen's shared data platform where reporting, planning, and AI share a single financial model. The AI engine is trained on financial data structure and metadata, enabling it to understand the context of financial data without creating separate data silos.
Exopen AI is particularly valuable for CFOs, Group Finance, FP&A teams, and controllers in complex environments, such as corporate groups with multiple ERP systems, fast-growing companies, and investment firms. The solution is designed for organizations with many legal entities that want to uncover new insights and shorten the distance from fragmented data to well-founded strategic decisions on a unified data platform.
