Archive
Tag: AI Agents
Asana Launches Agentic Work Management Platform, Pitching Itself as the ‘Easy Button’ for AI-Driven Enterprises
Asana has spent over 18 years telling companies how to manage work. Now, it wants to tell them how to manage AI. On Thursday, the company unveiled its Agentic Work Management Platform, a system designed to align humans and agents around the same plan, context, and governance. Asana calls it the “most significant product evolution” […]
Don’t Believe the Hype: AI Capabilities May Not Create Real-World Value
Kevin Scott always has something to say on the eve of Microsoft Build. The company’s chief technology officer shares his read on where technology is headed, typically in step with whatever the company is about to announce. This year, I joined executives, developers, and my fellow journalists in a downtown San Francisco bar as Scott […]
CoreWeave Wants Enterprises to Ship Agents First and Fix Them Later
Building reliable AI agents has traditionally meant doing most of the hard work before anyone uses them. Developers run lengthy offline evaluations against labeled datasets, measure performance across quality, accuracy, cost, and style benchmarks, make improvements, and repeat the cycle until the numbers look acceptable. Only then does the agent get deployed to users. CoreWeave […]
Asana Buys StackAI to Close the Gap Between Work Management and Enterprise Execution
As Asana positions itself as the “operating system for human-agent teams,” it has faced a real vulnerability: its agents couldn’t execute work end-to-end across the enterprise systems where business actually runs. That changes today with the company announcing the acquisition of StackAI, a no-code platform that lets enterprises build and deploy AI agents across critical […]
Google Rebuilt Search Around AI. Don’t Throw Away Your SEO Playbook.
IN THIS ISSUE: Google didn’t just update Search at I/O this week. It rebuilt it around AI, with consequences for every marketer who has spent years optimizing for a SERP that no longer looks the same. This issue examines what the shift from SEO to Answer Engine Optimization actually means for businesses trying to stay […]
Docusign Wants Its AI to Know Your Contracts Better Than You Do
Docusign made its intentions clear two years ago when it pivoted beyond e-signatures into the Intelligent Agreement Management space. Now, it’s ready to show what that actually looks like in an AI agent world. At its Momentum conference on Thursday, the company announced that its AI engine for agreements, Iris, is expanding into agents along […]
OpenClaw Agents Were Built for Users. EnterpriseClaw Rebuilds Them for the Enterprise.
AI agents are getting more capable by the day, pushed forward by computer-use frameworks like OpenClaw and its variants. Enterprise adoption should be accelerating—and it would be if not for the security and governance issues: No one wants an agent wiping out an entire database in nine seconds without permission. On Tuesday, Automation Anywhere unveiled […]
‘The Era of the Chatbot Is Over’: Zendesk Makes Its Case for the Autonomous Service Workforce
Zendesk spent years building software to manage customer service tickets. Now, its attention has turned to building an AI workforce that resolves them. It’s a “fundamental reset” of its platform, one where deflection-based bots are replaced by specialized AI agents that operate across all channels. At this year’s Relate conference, Zendesk is unveiling autonomous AI […]
ServiceNow and Nvidia Want to Make Desktop AI Agents Safe Enough for the Enterprise
For years, enterprises have struggled to govern AI where it actually runs, across clouds, tools, and now, increasingly, the desktops where employees do their work. ServiceNow thinks it has an answer, and it’s building the solution with Nvidia. Project Arc is the result: an enterprise desktop agent designed to bring autonomous capabilities seen in tools […]
AWS Is Trying to Make Kiro the Most Trustworthy AI Coding Tool in the Room
In software development, the costliest mistake rarely lives in the code. It lives in the requirements that came before it. Typically, the issue arose because a developer interpreted the specs differently from the author—and that’s human-to-human. Imagine how much more challenging this can be when vibe-coding. That’s why Amazon Web Services (AWS) is updating its […]