AI is having its big moment, but actually making sense of data is still a very real, very necessary part of the job. ThoughtSpot is rolling out a whole crew of AI-powered BI agents, all designed to work together instead of living in their own little silos. The lineup includes SpotterViz, SpotterModel, SpotterCode and the upgraded Spotter 3. Each one is designed to deal with a different part of the workflow, helping teams get real insights from raw data without spending half their day on the repetitive tasks.
A unified platform for agentic AI comes to business intelligence
“… we are delivering the industry’s first unified platform that augments every role analysts, data engineers, developers, and business users with an intelligent agent that handles the manual work,” said Francois Lopitaux, SVP of product management. “It is the foundational element towards the autonomous enterprise, turning intelligence into an engine that continuously drives business forward and delivers ROI on your AI investments.”
The idea here is pretty simple. Let AI handle the tedious parts so people can stay focused on the kind of thinking that actually matters.
How each agent helps different teams work faster
SpotterViz for analysts
SpotterViz focuses on dashboard creation. Analysts describe what they need in natural language and SpotterViz handles the layout, styling, organization and publishing. This helps analysts spend less time arranging charts and more time understanding what the data is actually saying.
SpotterModel for data engineers
SpotterModel helps engineers build models faster by using simple natural-language prompts to create governed, reusable semantic models. It can recommend the right tables, joins, and logic based on business rules, and it works across Snowflake, Databricks, and dbt.
Lopitaux highlighted that these agents still keep people in control, saying, “There is a strong component of human in the loop. SpotterModel comes back with a suggestion, but the human needs to validate it.”
SpotterCode for developers
SpotterCode acts like an AI pair programmer inside tools such as Cursor, Claude Code, GitHub Copilot, and VSCode. It understands the context of a developer’s project and generates high-quality code for embedding ThoughtSpot capabilities. This helps developers build intelligent, branded experiences inside their applications.
Spotter 3 ties the whole ecosystem together
Spotter 3 is the updated intelligence engine that corrals everything into one place. It combines structured and unstructured data, connects with tools such as Slack and Salesforce, generates Python when needed, and evaluates the quality of its own answers before returning a result. This gives users more confidence in the outcomes and reduces the back-and-forth that can come with complex questions.
Shiva Somasundaram, senior director of product at Tekion, noted the practical impact.
“The new suite of agents looks promising,” he said. “We are looking forward to putting them to use. We anticipate this will drastically reduce the time our analysts spend on manual tasks, allowing them to shift their focus entirely to high-value strategic interpretation.”
John Santaferraro, CEO of Ferraro Consulting, added, “The end goal of analytics is to get more people using insights to make decisions. ThoughtSpot’s two-pronged approach simultaneously empowers non-technical business users with accessible insight and dramatically boosts the productivity of data engineers and analysts.”
Spotter 3 is available now to select customers, with the remaining agents rolling out over the next few months.
Dell’s latest enhancements to the Dell AI Data Platform also center on clearing out data bottlenecks and making AI workloads easier to run across distributed environments. Taken together, both updates show the strong demand for technologies that streamline the messy middle between data and insight.