Your team already knows when a campaign starts to underperform, when spend spikes, or when web traffic shifts. What you don't have is the speed to turn that insight into action. Someone still has to investigate, decide what to do, pull in the right people, and coordinate the work. That takes time.
As a data-driven CMO, I've lived this every day. I can know the instant something changes in the data, but there's still a large gap between insight and action.
Today, we're closing that gap.
I’m excited to share that we’ve launched AgentSpot, the agentic workforce platform to build workflows that decide, act, and deliver across every system your business runs on, grounded in your data. Anyone on your team can now build a team of agents that turns the insights they uncover into action.
A new operating model for work
AgentSpot turns repeatable tasks into agentic workflows that run on live data across your systems. It has context about your business, so the people who know that business best can build agents and workflows quickly, just by describing what needs to happen in plain language. AgentSpot builds the agents, steps, logic, and handoffs to run the task. Whether you are in Marketing, Finance, HR, Legal, Sales, or IT, everyone in your org can build agentic workflows. Here are just a few real-world examples:
Marketing: AgentSpot can alert you if an email campaign starts to dip, show you where performance fell, and trigger the writers to fix it. When a campaign brief is finished, it can route the work in Slack, create the Asana tasks, and get the team started.
Finance: AgentSpot can send budget exceptions to the right approvers, or pull together an RPO report from multiple revenue files, check SKU and arrangement matches, and export the reconciliation workbook.
HR: AgentSpot can recommend learning paths using your company's content first, then outside resources where needed.
These are real agents, built by non-technical teams inside ThoughtSpot. No coding is required.
Grounded in trusted foundations
AgentSpot runs on the same live, governed, structured data our customers already trust.
Unlike general-purpose agents that start from scratch every session and guess at your business logic, AgentSpot is already grounded in your business’s semantic layer and works inside your enterprise guardrails from the first prompt.
With AgentSpot, ThoughtSpot doesn’t just help you see your business better: it helps you run it.
Agents for action, workflows for execution, apps for artifacts
Agents do the thinking. Workflows repeat it. Apps show the results. AgentSpot brings all three together in one governed experience.
Agents reason, plan, and act on your live business data. They can monitor signals, ask clarifying questions, use tools, and bring back results.
Workflows turn your best playbooks into repeatable execution. They connect steps together, route handoffs, trigger actions, and keep running without someone having to restart the process every time.
Apps turn plain-language intent into live, connected artifacts that any team member can create. Describe what you need (e.g., a dashboard, report, or prototype) and get an app built on your real-time, governed data in a single session, with no front-end code or BI tickets.
Together, they uncover what needs attention, take action, and put the results in everyone's hands.
Built for where your business runs
AgentSpot connects to the systems your teams already use, including CRM, HCM, ERP, Slack, Gong, and more, so every agent can act using the same data and context your teams rely on. Here are just a few examples of how different departments can get more done with AgentSpot.
RevOps: a "Deal Risk Monitor" agent that flags stalled opportunities and drafts recovery briefs.
Finance: a "Budget Anomaly Checker" agent that routes approvals with context the moment a threshold is crossed.
HR: an "Onboarding Milestone Agent" that keeps new hires on track without another manual check-in.
All built from a single prompt.
Now every team gets a force multiplier.
Governed by design
You can describe what needs to happen in natural language, and AgentSpot assembles the agent with the right workflows, tools, and context to do the work.
Anyone can build and share agents across the organization, so teams reuse what works instead of starting from scratch. Because AgentSpot connects to the tools your teams already use, those agents can bring together the data and context needed to get the job done.
The workflows are grounded in how your business operates. AgentSpot creates the steps, adapts as new data comes in, and executes tasks across systems.
Over time, it learns from organizational and user-level context, so the work becomes more relevant and better aligned to the way your teams actually operate.
This is the opposite of shadow AI: IT has visibility and control from the start. Every request, tool call, and model interaction is logged, with single sign-on, strict data isolation, and role-based access controlling what each person and agent can see and do.
Scale output, not headcount
In the age of AI, the advantage won't go to companies with the most people. It'll go to companies that can act faster on what their data is telling them.
AgentSpot gives every team a digital workforce that runs on live data, acts across systems, and keeps work moving. It's your workforce, multiplied, with predictable pricing built in.
AgentSpot picks the right model for each job, balancing cost, speed, and capability, and routes work across models automatically. Your teams never have to think about token budgets; they focus on outcomes while AgentSpot optimizes the path.
We're confident you'll love it. Create your first three custom agents for free; you will not be charged for them.
You can learn more here.
