#ai-agents

#ai-agents

AI agents that will take actions for humans,

Monday is set to launch an AI agent builder tool that can automate a range of work management tasks, the company announced at its Elevate conference on Wednesday. The agents don't just answer questions, they "execute tasks, connect systems, and learn from context," said Daniel Lereya, chief product and technology officer at Monday, in an email conversation with Computerworld. "This frees teams and individuals from repetitive execution, allowing them to focus on creativity, strategy, and human judgment." Monday's agents can take action across different teams and app integrations he said, as well as interact via multiple communication channels, including email, SMS and phone calls,

"Our agentic AI capabilities are designed to work seamlessly throughout the entire selling experience, which means sellers can go from handling every task themselves to collaborating with an intelligent assistant that works proactively on their behalf around the clock, while always keeping sellers in control," Amazon wrote in a press release. "Seller Assistant will be able to handle everything from routine operations to complex business strategy, so sellers can focus on innovation and growth."

Headless browsers - the behind-the-scenes software that lets machines surf the web like people - were once the domain of quality-assurance testers and SEO agencies. But new AI-powered browsers launched this last year - like Perplexity's Comet and Browser Company of New York's Dia - are bringing new meaning to the term. These players are using headless browsers to power AI agents that need to click, scroll and interact with websites as a human would, to retrieve information.

Google on Tuesday released a new payments scheme to make it easier for different AI apps to send and receive money. The open-source protocol not only includes support for more traditional forms of payments like credit and debit cards but also stablecoins, or cryptocurrencies pegged to underlying assets like the U.S. dollar.

Employees will soon have access to a single integrated platform where enterprise knowledge, data, and actions come together. The new capabilities include searching across all of an organization's key data sources, including Workday's own data cloud, as well as Google Drive, SharePoint, and Office365. AI agents can act proactively by anticipating needs, summarizing insights, and providing support for projects. In addition, these agents are enabled to create presentations, documents, dashboards, and even entire learning courses based on existing company data.

This system can be used to integrate and manage Workday agents as well as third-party agents. Workday is taking this opportunity forward to become a system of record for all workers - be they digital or human.

MongoDB today unveiled an application modernization platform that makes use of artificial intelligence (AI) agents to analyze and convert legacy applications into code that can be used to deploy a modern application on its document database. Shilpa Kolhar, senior vice president of product and engineering for MongoDB, said the MongoDB Application Modernization Platform (AMP) will make it possible to refactor code in a way that is compatible with the open source Java Spring framework, which in turn could then be deployed on MongoDB.

On the "OpenAI Podcast," which aired on Monday, cofounder and president Greg Brockman and Codex engineering lead Thibault Sottiaux outlined a vision of vast networks of autonomous AI agents supervised by humans but capable of working continuously in the cloud as full-fledged collaborators. "We have strong conviction that the way that this is headed is large populations of agents somewhere in the cloud that we as humanity, as people, teams, organizations supervise and steer in order to produce great economical value," Sottiaux said.

Artificial intelligence is about to enable the most dramatic shift of the century: the transition from human labour to AI labour. In the coming years, businesses won't just use AI as a tool - they'll employ AI as real colleagues, handling critical workflows end-to-end. That shift is inevitable. The real question is: whose employees will we be hiring? If Europe doesn't catch up with the US and China and build its own AI employees,

AI will increasingly automate day-to-day decision-making for businesses in the coming years, thanks to AI and other emerging technologies, Gartner claims in a . Also: Use Claude's new feature at your own risk - here's why The consulting firm's annual Hype Cycle for Emerging Technologies report aims to provide a sober and practical picture of how buzzy new technologies will be leveraged by businesses in the near future.

So the thing that we think about all day long - and what our focus is at Box - is how much work is changing due to AI. And the vast majority of the impact right now is on workflows involving unstructured data. We've already been able to automate anything that deals with structured data that goes into a database.

Since the arrival of the internet and online marketing, measuring and analyzing certain metrics has been essential for those wanting to attract audiences and sell online. Figures like click-through rates, page impressions, and conversions have traditionally provided marketers with the insight needed to make decisions about how, when, and where to present their products and services to us. Those days, however, could be coming to an end.

That's what we found when we met Wolt in 2021-a team with very shared values, which to me is probably the hardest thing to get right in M&A,

Isotopes came out of stealth on Thursday with a healthy $20 million seed round. It offers an AI agent to solve a problem that data analytics products have struggled with for decades: The people who know how to run the big data infrastructure are not the ones who actually need to use the data. With LLMs, business managers can ask questions of their data in natural language.

AI transformation will eclipse digital transformation as the main force that will shape enterprises over the next decade,

Sierra, which helps enterprises build customer service AI agents, announced it raised a $350 million funding round on Thursday. The round, led by earlier investor Greenoaks Capital, values the startup at $10 billion, according to a company blog post that confirmed an earlier report from Axios on Wednesday. Sierra was founded in early 2024 by Taylor and longtime Google alum Clay Bavor. The company claims to have landed hundreds of customers, including SoFi, Ramp, and Brex, among others, in its 18 months of operation.

If a typical chatbot (say, ChatGPT) is the bubbly friend who explains how to change a tire, an AI agent is the neighbor who shows up with a jack and actually does it. In 2025 these agentspersonal assistants that carry out routine computer tasksare shaping up as the next wave of the AI revolution. What distinguishes an AI an agent from a chatbot is that it doesn't just talkit acts, opening tabs, filling forms, clicking buttons and making reservations.

Here's where it gets weird: What happens to social media when AI agents manage your digital social life? The End of Manual Posting Current Social Media: Agent-Managed Social Media: The Mindbending Part: Your friends won't know if that witty comment came from you or your AI agent. And frankly, does it matter if the agent perfectly mimics your humour and interests?

Ahead of the NFL season, the Chicago-based cloud engineer built a custom AI draft agent that pulls real-time data from ESPN and FantasyPros, factoring in last-minute intel like injuries and roster cuts.

GitLab has launched the public beta of its GitLab Duo Agent Platform, an orchestration tool that enables developers to collaborate asynchronously with AI agents across the DevSecOps lifecycle. The platform, now available to GitLab.com Premium and Ultimate customers as well as self-managed installations, transforms traditional, linear development workflows into dynamic, multi-agent systems where AI handles routine tasks such as refactoring, security scanning, and research, while developers focus on complex problem-solving.

This isn't another "AI tool." It's ChatGPT's new Agent - a fully autonomous virtual worker that can predict trends, reverse-engineer your competitors and even scan your Instagram for untapped revenue hiding in forgotten DMs. In this video, you'll see exactly how solopreneurs are using it to run profitable one-person businesses on autopilot - replacing tasks that once took entire teams.

In an AI-powered economy, business leaders are focused on enhancing the productivity and efficiency of their workforce and operations. To accelerate value creation, while focusing on cost reductions and efficiencies, companies are identifying and removing silos -- structural, data, and organizational -- so they can successfully deploy hyper automation and emerging technologies like autonomous AI agents and robots, serving as an extension of their digital labor.

Qwiet AI today extended the reach of its application security platform that uses artificial intelligence (AI) agents to discover and remediate vulnerabilities in code to now provide deeper integrations with Azure DevOps, Azure Boards and GitHub platforms from Microsoft. The company has also enhanced its support for webhook notifications, automated data export processes, expanded secrets configuration and made minor user interface (UI) enhancements.

Aaron Levie told Business Insider there's a catch to AI agents: If you feed them too much information, they start to lose the plot. The CEO of the cloud-storage giant Box calls this problem "context rot." The more data you give the AI model, "it doesn't necessarily lead to a better outcome," Levie said on Tuesday. "The model will just get very confused and potentially focus on the wrong part of the information," Levie told Business Insider. As the task drags on, the model can lose track of what it's supposed to focus on, leading to worse results, he added.

Pssst. Hey. You. Yeah, I'm talking to you. Are you a CEO, board member, senior VP, or other top-level corporate leader? You want to know a secret? You've got three to six months to AI agent-up your company, or you'll fall behind. You know what that means, doncha? If you fall behind, you're out. Also: 95% of business applications of AI have failed. Here's why This is the gist of a highly questionable forecast coming out of Gartner this week .

"MCP acts like a secure 'universal adapter' for connecting AI agents (like Copilot) to external tools, databases, code search engines, or deployment pipelines, so there are no more one-off integrations for every service," Walter said.

AI Mode for search, which essentially allows Gemini to serve as the sifter of SERPs instead of the old-fashioned Google algorithm, became an opt-in preview feature in March before rolling out as an option to general Google users in May. For those who haven't deigned to use it, AI Mode basically turns the Google search page into a chat window where users can ask typical queries and get results delivered from a Gemini-powered chatbot that one has to assume isn't bullshitting them,