Enhances business intelligence dashboard with AI agents

"We know that every user doesn’t want to go in and understand how to do regressions and complicated analysis, But we do know that users at some point might use a spreadsheet to manipulate data to get an outcome."

We accelerate business data analysis through agentic AI, which automates complex, multistep data analysis. This means that a user can simply type in a scenario in conversational English and an AI agent will seek out data, formulate a plan and execute the necessary steps, significantly reducing effort and time on the user’s part.

AI agent shows its analysis process so the user can follow along and derive the path that it took. Although the AI agent is doing the deep analysis work, it’s not a complete black box. This allows users to refine their approach by seeing where the agent went and how it chose to go there.

For example, a user could provide “what-if” scenarios to the AI agent and it could look through proprietary company data or uploaded documents and then take a few minutes to do an analysis. These are tasks that would take a data scientist or analyst weeks or days – now reduced to minutes.

Each time a user asks a question the AI agent produces a thread where the user can add follow-ups. Users can also explore multiple related or alternative inquiries from an initial question forming simultaneous threads. That allows users to avoid linear thinking in data exploration and investigate multiple paths at once, allowing for more creative outcomes.

User could examine product sales performance between different regions across separate threads, the impact of price changes on revenue and potential inventory adjustments. That approach helps mimic the natural human brainstorming process of exploring many ideas at once but lets the AI do the complex analysis and deliver a clear presentation.