StackAI

San Francisco – StackAI is hosting an executive dinner, and we'd love for you to join us 🍽️ Excited to share how leading companies are using AI agents to automate back-office operations, choose the right use cases, and measure ROI across finance, insurance, healthcare, manufacturing, and more. Join fellow CIOs, CTOs, and AI leaders to explore how AI agents can boost operational efficiency, unlock new opportunities, and accelerate growth. 📍 San Francisco 📅 Monday, September 28 🕖 7:00 – 9:00 PM PT Space is limited, so reserve your seat today! 👇 #AIAgents #EnterpriseAI #GenAI

What happens when one person is responsible for closing the books across dozens of facilities? That is the reality for multi-site healthcare orgs we work with. Every month, a single person has to review invoices, reconcile vendor payments, identify overpayments and underpayments, and catch anything that may have been missed. It’s exactly the kind of high-volume, detail-heavy workflow where AI can make an immediate difference. With an AI-powered reconciliation workflow, the organization can automatically review transactions and supporting documents, flag discrepancies, and surface the exceptions that actually require human attention. The goal is to free highly skilled people from hours of manual review so they can focus on higher-value work and, in healthcare, ultimately put more resources toward patient care! In this clip, StackAI's Shani Fargun shares what that looks like in practice with Michael Cupps. #HealthcareAI #EnterpriseAI #AccountsPayable #FinanceAutomation #AgenticAI #StackAI

A warm welcome to Antonio Santamaría Escobar, who joins us as a Forward Deployed Engineer this week! With a wealth of prior industry experience building data products and automating workflows, he'll work with our enterprise customers to deploy AI systems that transform manual, document-heavy processes. 🚀

Last week we hosted the Columbia Business School Executive Education cohort from "The Business of AI" immersion program at our New York office. The session focused on one question: what does it actually take to move agentic AI from demo to production inside a large organization? What we covered: • How enterprise teams are building agentic workflows on StackAI, from document-heavy back office processes to internal knowledge agents • Why governance, explainability, and access control decide whether an agent ships or stalls • Where AI creates the most value today, which is inside existing operating models rather than alongside them as a standalone tool • A live build, so the group could see how quickly a working agent comes together The questions from the room were sharp and specific. Leaders across healthcare, financial services, energy, and consumer wanted to know about audit trails, model risk, and who owns an agent once it is live. Those are the right questions, and they are the ones we spend our days on. Thank you to the professors who brought the group to us: Moran Cerf Yuri Levin, and Aviram Berg. Thank you also to our own Shani Fargun, Max Poff for hosting, and to Columbia Business School Executive Education! More sessions like this to come. #AgenticAI #EnterpriseAI #AI #ExecutiveEducation #FutureOfWork #BusinessTransformation #ColumbiaBusinessSchool

One example of what Multi-Agent Teams on StackAI can do: a weekly SEO report. ✨ You build one agent and ask it for the report. It works out that the job needs: - traffic and behavior from Google Analytics - rankings and impressions from Search Console - backlinks and competitive position from Ahrefs - strategy and history from a knowledge base The agent creates a sub-agent for each, runs them in parallel, and combines the results into one report. Each one only reasons over its own source, which is why the numbers hold up. This is the simplest version of it. The same agent handles claims review, diligence, or RFP responses, and it goes well beyond a single report. Build one agent. It executes the rest.

Boston - looking forward to this one! 👋 On September 30, I’ll be joining Jonathan Kamerman, Rebecca Curry, and Jeremy Sherer for a conversation on a question I’m hearing constantly from healthcare leaders: When should you build AI yourself, and when should you buy? As agentic AI moves from experimentation into real clinical and operational workflows, that decision becomes much more nuanced. It’s not just about technology: it’s about speed, security, governance, maintainability, integration, and ultimately whether you can get something into production that delivers value. Excited to share some of what I’ve learned from deploying AI across healthcare and other highly regulated environments, and, even more importantly, to hear how others are approaching these decisions! 📍 Boston, Back Bay 📅 September 30 If you’re building or operating in healthcare, I'd love to see you there. https://luma.com/h32kctqd #HealthcareAI #AgenticAI #DigitalHealth #ArtificialIntelligence Orrick, Herrington & Sutcliffe LLP G19 Studio Philips

On October 14, join StackAI and Asana at in New York City for Work Innovation Summit! We'll be diving deep into the agentic enterprise with hands-on workshops, roundtables for tech leaders in regulated industries, and a very special keynote. Join us to get the latest insights on the future of human + agent teams.  Free to register. Save your seat today at the link in comments ⬇️