Generative AI is no longer a peripheral module in EPM platforms. It is gradually being integrated into planning, analysis, reporting and closing workflows. Anaplan, SAP, OneStream and CCH Tagetik are nevertheless following different paths.
Anaplan: conversation, forecasting and agents
Anaplan combines several components. CoPlanner provides conversational access to planning data. PlanIQ and Forecaster cover forecasting. CoModeler supports model building and explanation. The strategy is thus evolving from assistants toward specialized agents.
SAP: assisted functions in Analytics Cloud
SAP Analytics Cloud enriches planning and analytics workflows with generative functions: natural-language queries, insight generation, assistance with comments and Joule integration. The semantic quality of the model and data preparation strongly determine results.
OneStream: SensibleAI within the unified financial model
OneStream brings together SensibleAI Agents, Forecast and Studio. Its approach emphasizes AI embedded in finance processes and supported by the platform’s data model and deterministic engines. Use cases cover forecasting, anomaly detection, commentary and automation.
CCH Tagetik: Ask AI and finance-focused agents
CCH Tagetik is developing Ask AI for natural-language navigation, exploration and visualization, followed by agents capable of monitoring performance and guiding action. The vendor emphasizes intelligence specialized in CFO processes.
Capabilities that should actually be compared
- available functionality rather than roadmap only;
- accessible data sources;
- rights and privacy management;
- response traceability;
- forecast explainability;
- validation before any write action;
- integration with existing workflows;
- cost and consumption terms.
The first credible use cases
Variance analysis, commentary preparation, anomaly detection, navigation assistance and forecasting are mature use cases. Actions that modify financial data or models require stronger safeguards.
Do not choose based on a demonstration
A demonstration often uses a clean, well-documented model. A pilot must be conducted with the company’s actual data, dimensions and rules. Accuracy, time saved and human validation rates must be measured.
Governance as the decisive criterion
For finance, the best AI is not the one that produces the most fluent text, but the one that works with controlled data, explains its reasoning, respects access rights and leaves a usable trail. The EPM foundation and governance remain more important than the choice of generative model.