Box

If your team is still reviewing every grant report by hand, you’re leaving impact on the table. Federal leaders are sitting on a goldmine of insights: four decades of unstructured country plans, programs running in more than 80 countries, and thousands of grant reports that rarely get analyzed end-to-end. In our Box Public Sector Summit fireside, former Federal CIO Jason Gray, shares how AI can: 🔹 Rapidly review grant submissions to see who’s actually delivering on outcomes 🔹 Spot patterns across similar grants so you can scale solutions that work 🔹 Mine decades of reports to replicate successful programs across regions and sectors This isn’t about shiny tech. It’s about using AI to get to “what’s working, where, and why” in seconds instead of months. Watch the on‑demand session to see how AI‑powered grant analysis can change how your agency scales impact: https://lnkd.in/gsc6ChST

We're excited that our new Box AI Agent is now available in Gemini Enterprise and the Google Cloud Marketplace! Watch how it works below👇

Teams don’t need “smarter chatbots” — they need collaborators that actually do work alongside them. In our Partner Podcast series, Box CTO Ben Kus and LangChain CEO Harrison Chase dove into how that’s finally becoming real: 👉 Early “agents” were just 1–2 LLM calls. Now deep agents can run 30+ tool calls to produce a first‑draft PR or research report. 👉 Writing 5–10 line prompts isn't enough; the agents that work best run on 20–30 page instruction sets plus rich tool descriptions. 👉 The real shift is UX: sometimes you want a 1–2 second answer; other times you’re happy to wait while an agent does real work in the background. Manage AI agents like teammates, not tools. Watch the full conversation: https://lnkd.in/gaYDY3dq

Gemini 3 Pro isn’t just another LLM — it’s a step-change in enterprise reasoning. According to Box’s own evals, this model advances multi-step logical thinking, letting you extract and combine information from complex documents with unmatched nuance. In this demo, we drop Box AI (powered by Gemini 3 Pro) into a Hub filled with autonomous driving research and ask: Given the tradeoffs across papers, how should I build a 3-sensor 3D detection stack for an embedded platform? The result? A deeply reasoned, benchmark-conscious architecture recommendation — synthesized in seconds. That’s enterprise automation reimagined: smarter, faster, more context-aware reasoning — powered by frontier AI inside Box. Watch the full demo and subscribe to the AI in Action series for more: https://lnkd.in/gXYJGA-i

70% of bank tech budgets go to maintaining legacy systems while clients demand instant access and seamless collaboration. Here's the shift: 33% of investment banks already have AI in production, with the VDR market set to grow from $2.9B to $7.6B by 2033. Smart banks are using AI to extract insights from unstructured data—turning pitch decks and meeting transcripts into strategic advantages. Discover how AI-powered content management is transforming dealmaking: https://lnkd.in/g3pXa_Fk

“Most companies don’t have an AI problem. They have a data problem.” Before AI, finding contracts across 10 different systems was annoying but manageable. Now imagine 100x more AI agents searching those same siloed systems. The result? Security risks, wrong answers, and chaos. The companies winning with AI agents are doing three things differently: 1. They’re fixing their data architecture first by creating clear sources of truth for each data type and not letting contracts live in 10 different systems. 2. They’re pushing AI beyond comfort zones; while others settle for 2x gains, leaders are achieving 5x productivity improvements. 3. They’re treating AI agents like new employees, expecting 90-95% accuracy, not perfection, and building review processes accordingly. The message is clear: Your AI strategy IS your data strategy. And the time to start isn’t next quarter—it’s now. Discover how to transform your unstructured data into competitive advantage: https://lnkd.in/g6TsKBQK

We’re seeing a fundamental shift in enterprise AI: agents are evolving from single-shot prompts into full digital collaborators. Reasons why this shift is happening: 🔹 Stronger models 🔹 Better context handling 🔹 Improved prompting and orchestration In our latest AI Explainer episode, Box CTO Ben Kus and Box Sr. Product Marketing Manager for AI, Meena Ganesh, break down three levels of agents — Single-shot, Multi-step, and Autonomous — and share real-world examples, implementation tips, and what this means for product, sales, and engineering teams. Watch the full episode here: https://lnkd.in/gYteaBnq

Movember is using AI to transform fundraising, operations, and global impact. In the latest "AI-First" podcast, Box CCO, Jon Herstein, and Movember CTO, Graham Link, discuss practical use cases like self-service employee support, the viral AI-powered mustache generator, and content hubs that connect staff across geographies to Movember’s rich knowledge base. As Graham states, "what we are now achieving is phenomenal." Walk away with a playbook for upgrading old code without pausing the business. Watch the full episode here: https://lnkd.in/gJWSEyga

The real power of AI agents is collaboration. In our latest Partner Podcast episode, Box CTO Ben Kus sits down with LangChain CEO Harrison Chase to discuss how the next generation of AI agents are transforming how enterprises build, deploy, and scale intelligent systems from automating research to orchestrating entire workflows. Harrison explores how new frameworks like LangGraph and Deep Agents are powering more complex reasoning, how prompt engineering and file systems are becoming critical to success, and why the future looks like AI systems working more like full collaborators than just assistants. "I think that's absolutely where the space is headed. I think you start to become a manager of these agents." What would change if you treated AI like a remote team member instead of a search engine? Watch the full conversation: https://lnkd.in/gaYDY3dq