Systems | Development | Analytics | API | Testing

Every leadership team is arguing about which AI model is best, but that debate is a distraction from the real problem. In this episode, Jeff McMillan, founder of McMillanAI and former head of firmwide AI at Morgan Stanley, breaks down the real bottlenecks behind enterprise AI strategy. He shares why fixing your data matters more than picking a model, why your best AI leader is probably already inside your company, and why AI eliminates tasks rather than entire jobs.

AI literacy across 60,000 people starts with the C-suite. In this clip from podcast, Bethany Miles, Chief AI Officer at Advantage Solutions, shares how she built enterprise-wide AI fluency, starting with 10+ hours of hands-on executive training and a CEO coding workshop. What you'll learn in the full episode:→ Why AI literacy has to start at the top before it can scale anywhere else→ How Advantage Solutions redesigned broken processes before automating them→ What to measure beyond adoption (service excellence and time-to-complete)

See how AgentSpot can bring real-time support into the sales process. Deal Sherpa pulls together account context, surfaces gaps and risks, and recommends what to do next. See how it works and what it looks like in action. What is AgentSpot? AgentSpot is multiplayer AI for your business. Anyone can build, share, and collaborate with AI agents connected to your company’s data, context, and tools.

Watch how Liz Johnston uses AgentSpot to turn technical product updates into digestible, ready-to-share content for her customers. The Product Decoded agent pulls together key details and creates a Google Doc, branded PDF, and email-ready HTML. One prompt, three deliverables ready to go. What is AgentSpot? AgentSpot is multiplayer AI for your business. Anyone can build, share, and collaborate with AI agents connected to your company’s data, context, and tools.

See how this AgentSpot workflow takes the manual work out of SE allocation. It looks at the request, region, expertise, and calendars to recommend the right SE for the job. Then it sends the recommendation straight to Slack. What is AgentSpot? AgentSpot is multiplayer AI for your business. Anyone can build, share, and collaborate with AI agents connected to your company’s data, context, and tools.

Discover how Onlyfy by XING, an all-in-one recruiting and applicant management solution partnered with ThoughtSpot, a leader in search and AI-driven analytics that empowers businesses with intuitive, self-service data experiences.

Every week, ThoughtSpot Engagement Manager MJ Densmore used to spend up to an hour per customer manually pulling notes, digging through Slack, and checking Salesforce — just to write a status update. Now, AgentSpot does it all automatically, pulling from meeting notes, Slack messages, and support cases to generate a concise summary she can review and send in minutes. Watch to see how a quick, single prompt does the work of a full hour.

The procurement team at ThoughtSpot built two AgentSpot agents to tackle manual, time-consuming workflows — and the results speak for themselves. Agent 1 – Coupa PR Approval Nudger: Automated purchase requisition reminders that once took hours of manual chasing in Coupa and Slack. Approval cycle time dropped from 6.62 days to 2.8 days. Agent 2 – Virtual Card Intelligence: Cross-validates PO and requisition data against Spend Flow to surface budget leakage, flag expiring cards, and send personalized Slack outreach to card owners. All without manual audits.

Manually cross-validating virtual card data across disconnected systems was a constant pain, until the procurement team built an AgentSpot agent to do it automatically. This video showcases a Virtual Card Intelligence agent that pulls PO and requisition data from Google Drive, cross-validates it against Spend Flow, flags expiring cards and utilization risks across 30/60/90 day bands, and sends personalized Slack outreach to card owners. Plus a full 9-tab Excel report covering KPIs, expiry, utilization, and reconciliation. The best part? This is all done in just 4-5 minutes.

Embedding ThoughtSpot into your application just got dramatically faster. SpotterCode is now in the Visual Embed Playground. Ask in plain language (rename an agent, apply a custom theme, configure an embed component), and SpotterCode generates exactly the code you need, right inside the ThoughtSpot app. In this video, see how SpotterCode eliminates the setup friction that slows down every embedded analytics build and what it looks like to go from question to working code in seconds.

Join us for a live broadcast of The Thought Tank: Marketing in the Age of Agents. Our host and CMO Micheline Nijmeh sits down with Katie Marcham, SVP Marketing EMEA at ThoughtSpot, to pull back the curtain on what it actually looks like to run a modern marketing organization on live data in one of the most complex, relationship-driven markets in the world. They'll cover the transformation Katie's led over the past year: leaner teams, smarter tools, and a tighter partnership with EMEA sales, all grounded in what the data is showing in real time.

Every month, finance teams rebuild their collections forecast by hand, copying and pasting from disconnected files and hoping nothing breaks. In this video, we use AgentSpot to build a Collections Forecast Agent that connects to accounting files, NetSuite, and live bookings data to automate the full monthly rebuild, reconcile actuals against forecast, and output a traceable Excel workbook your whole team can work from.

Writing tickets is the tax every PM pays. You know exactly what needs to get built, then you spend an hour turning it into properly scoped Jira issues with acceptance criteria, labels, and the right epic. AgentSpot does the writing for you. In this video, we use AgentSpot to build a Product Assistant that turns a rough feature idea into fully drafted Jira tickets, pulls in context from your existing backlog so nothing gets duplicated, and files them to the right epic ready for grooming.

Release notes are the thing that always gets written last, usually by whoever has the least context, usually the morning after ship day. Everything you need is already sitting in GitHub, it just isn't in a form anyone outside engineering can read. In this video, we use AgentSpot to build a Release Notes Workflow that reads what's been merged in GitHub, translates the changes into human-readable notes, posts them to your team's Slack channel, and keeps a running Slack canvas so every release stays in one place.

AI changed the process, but not what matters. In the latest episode of The Data & AI Chief, three authors explore what it takes to lead through the AI era, from scaling innovation to building AI-ready data foundations to keeping humans at the center. This episode features: Linda Hill, Harvard Business School Professor and author of Genius at Scale, on scaling innovation and leading through uncertainty.

In this video, learn how to set up AgentSpot's self serve free tier from scratch. You'll connect the apps you already work with (Google Workspace, Slack, and more) and authenticate them in a couple of clicks. Plus, you'll build your first agent, one that catches you up on Slack threads so you don't have to. Tip: the more tools you connect, the more context your agent has, and the better it works for you.