Corporate accounting solutions provider OneStream announced the release of SensibleAI Agents, SensibleAI Studio and SensibleAI Account Reconciliations and the most advanced SensibleAI Forecast.
SensibleAI Agents are AI-powered chat assistants that retrieve data, do deep analysis, visualize data and execute tasks. Embedded directly into the platform, SensibleAI Agents can be operated within OneStream workflows, data models, and security frameworks. They include a Finance Analyst Agent, which allows users to query financial data using natural language and receive real-time analysis, dashboards, and visualizations based on OneStream’s financially intelligent engine; an Operations Analyst Agent, which provides on-demand access to operational and transactional data, such as inventory, transactions, and sales orders; a Search Analyst Agent which searches across enterprise documents, platform guides, and any unstructured data to transform information accessibility with source transparency; and a Deep Analysis Agent, which processes large volumes of documents to answer high-stakes, high-complexity questions.
SensibleAI Studio is a growing library of more than 30 plug-and-play, quantitative and generative AI routines that users can activate within the OneStream platform or directly through APIs. Users can explore and analyze data in plain language and streamline reporting, reconciliation, and decision-making. Additionally, SensibleAI Studio’s Genesis Blocks make it easy to plug AI capabilities into new or existing workflows, all while maintaining full transparency and auditability. SensibleAI Account Reconciliations is powered by SensibleAI Studio. It allows users to leverage AI to detect anomalies and flag risks—like unusual adjustments or missing documentation—early in the close process.
Finally, SensibleAI Forecast is a no-code, AI-powered forecasting solution embedded in the OneStream platform that brings together the company’s machine learning-based forecasting engine (SensibleML) with new generative capabilities that allow finance teams to quickly model different scenarios and constraints, pulling forecasts up or down. Teams can create narrative commentary that provides context behind the forecast, strengthening analysis and decision making in real time.