From manual workflows to AI-agentic analytics
Talk to anyone who works with data, and you’ll hear a familiar story:
Data engineers are still bogged down cleaning, prepping, and untangling semantic models. Analysts are churning out dashboard after dashboard, with little time left for real analysis. Developers are hand-coding embedded analytics, turning every new feature into a months-long project. And business users are stuck in line, waiting for answers.
Every advancement in BI has created incremental improvements, but the core workflow hasn’t changed: too much time spent on repetitive, manual tasks, not enough on the strategic work that drives your business forward.
That ends now. With ThoughtSpot’s new team of AI-powered agents, you can finally break the cycle of busy work and give your teams the freedom to focus on what matters most: strategic thinking, bold decisions, and real business impact.
Meet the BI agents augmenting every role in your analytics workflow
Instead of bolting a chatbot onto dashboards and hoping for the best, what if you could pair every person in the analytics workflow with an agent that accelerates their work—so they spend more time on decisions, design, and impact, and less time on setup?
That’s the idea behind ThoughtSpot’s new team of BI agents:
SpotterModel – Builds governed semantic models in minutes, not days
SpotterViz – Assembles complete, on-brand Liveboards from a single prompt
SpotterCode – Generates embedded analytics implementations in seconds
Spotter 3 – ThoughtSpot’s core intelligence engine acts as a true analytical partner that thinks, reasons, and validates its work automatically
Together, these agents do the heavy lifting so data engineers, analysts, developers, and business users can focus on the strategic decisions and experiences that actually deliver value.
SpotterModel: Automated modeling. Accelerated insight.
Data engineers spend hours on manual semantic modeling: hunting for fact tables, picking columns from massive schemas, defining cardinalities, and wiring up joins. The work is critical, but it pulls them away from strategic decisions about purpose and governance.
SpotterModel speeds up model creation and maintenance with AI-assisted modeling that automatically enforces consistency and governance. SpotterModel doesn't replace data engineers—it accelerates their work by:
Finding and connecting fact and dimension tables and summarizing their relevance to a model in plain language
Creating joins with directions and cardinalities
Curating column sets from hundreds of fields, striking a balance between too many and too few exposed to analysts
Explaining its reasoning at each stage and providing a confidence score so engineers can review and adjust
SpotterModel turns a raw database connection into a governed semantic model in under 5 minutes, while data engineers stay fully in control of modeling decisions, data architecture, and governance.
SpotterViz: Data to Dashboards, Instantly
In most BI tools, analysts don't start with insight but with an empty canvas. They have to pick the right data model, decide which visualizations to build, arrange them into a narrative, and make everything look on-brand. By the time the dashboard is ready, the original business question has usually changed.
SpotterViz automates the time-consuming work of dashboard and visualization creation. From a simple natural language prompt, it generates a complete, on-brand Liveboard, empowering analysts to focus on the story of the analysis—not on assembling the scaffolding.
With SpotterViz, analysts can:
Generate complete, on-brand Liveboards with KPI cards, trend analysis, comparisons, and geographic views
Apply your brand guidelines automatically, including colors, fonts, and layout patterns
Create multi-page experiences tailored to specific teams, use cases, or personas
Update and refine Liveboards in real time based on follow-up questions or design requests
Analysts now spend their time interpreting data, testing hypotheses, and telling stories instead of wrestling with chart builders and CSS.
SpotterCode: Less Coding, More Shipping
Embedding analytics typically means weeks of work—reading SDK docs, manually writing code boilerplate, matching styles, and iterating through review cycles. Developers, who should be focused on differentiated product features, end up wiring basic analytics instead.
SpotterCode accelerates the development of intelligent experiences as an integrated development environment (IDE) add-on that writes code inside your favorite editor. It understands ThoughtSpot's SDK and your application's design language to:
Parse business requirements and translate them into the right embed patterns
Generate complete embed code with accurate SDK parameters
Match your app’s look and feel, including branding, layouts, and interactions
The result is production-ready embedded analytics in seconds, not weeks. Developers stay focused on application architecture, performance, and user experience while the agent handles the repetitive implementation details and wires hundreds of joins.
Spotter 3: Boundaryless Intelligence
Most BI tools often box users into static dashboards and narrow question types. As soon as they want to ask something outside the prebuilt reports, progress stalls, and a ticket queue starts. Spotter 3 removes those limits by delivering trusted, contextual answers that keep pace with your thinking—so every question leads naturally to confident action.
From a single prompt, business users can:
Uncover unstructured insights hidden in the business apps their teams use every day by bringing in insights from Slack, Salesforce, Jira, and more.
Go from query to clarity in seconds—with automated code generation for multi-level research, predictive forecasts that guide next steps, and contextually rich summaries that pair with follow-up questions,
Get thorough answers and in-depth reports they can trust as Spotter validates assumptions, checks every result, and delivers actionable, end-to-end analysis for confident decision-making.
Spotter 3 exposes its reasoning, highlights key insights, returns complete answers, and suggests next steps in seconds, not hours. Business users stay in the flow of their own curiosity while the agent handles the analytical heavy lifting.
100% Agent Coverage, From Data Modeling to Insights
With ThoughtSpot’s agent ecosystem, you remove BI bottlenecks across the board. The impact compounds. Each agent amplifies human expertise instead of replacing it:
Data engineers make strategic modeling decisions while agents configure joins and columns.
Analysts focus on insight and storytelling while agents generate visualizations and layouts.
Developers architect experiences while agents generate production-ready embed code.
Business users explore their questions while agents handle the analytical complexity and retrieval.
The outcome is not just faster analytics. It’s a different operating model, where analytics is embedded in everyday decisions instead of being siloed within analytics workflows.
Unleash Your BI Team with Agentic Analytics
With ThoughtSpot’s new team of agents, you can finally move beyond the cycles of manual modeling, endless dashboards, and slow-moving development queues—giving every user the power to turn questions into actionable insights in record speed.
Don’t let legacy processes slow you down. Watch the latest Product Spotlight to see the power of agentic analytics for yourself.
Ready to get started? Schedule a 1:1 demo with our product specialists today!
