#agentic-ai

#agentic-ai

This year, "agentic" became the sexiest buzzword to hit vendor PowerPoints. It's everywhere from specific products to the era itself. At times, it seems that no copy can leave the door without the word "agentic" crammed in there, despite it hitting the ear with roughly the same credibility as "putting the law on the blockchain" or "building a metaverse practice."

As the Trump administration shrinks the federal workforce, the private sector is developing artificial intelligence that could fill in gaps - specifically, agentic AI, technology that can take action without precise instructions. The "agentic enterprise," where humans work alongside AI agents, was the theme of Salesforce's annual conference last week. Currently, it's largely a hypothetical in the federal context. Agencies don't have Salesforce-powered agents in production, and what exactly counts as an AI agent is debatable, as the term is used to describe systems with varying degrees of autonomy.

What we are building is an operating system for marketing,

In broad strokes, Serval is using agentic AI models to automate IT service management, but the company has a unique approach that takes advantage of agentic AI's powers while avoiding many of its pitfalls. One agent is used to code internal automations for everyday tasks like authorizing software or provisioning a device. The founders see it as a kind of vibe-coding tool, overseen by an IT manager, but doing most of the work on its own.

"I wouldn't be surprised if you license some and you hire some, depending on the quality and depending on the deep expertise," Huang added. "So future workforces in enterprise will be a combination of humans and digital humans."

American Express announced the launch of Amex Ads. The platform will allow brands to tap into its extensive trove of first-party customer data, with the opportunity of targeting audiences of up to 34 million US cardholders. Duolingo also joined the party, with the launch of a direct ad sales platform which allows advertisers to buy premium in-app inventory and custom ad formats.

As enterprises expand AI adoption across both internal teams and end consumers, agentic AI stands out for its potential to elevate customer experience through autonomous and semi-autonomous actions. By enabling faster, more personalized interactions, agentic AI is driving demand for practical ways to deploy it at scale. The proof is in the investments. The global autonomous agents market is valued at $4.35 billion in 2025 and is forecast to surpass $100 billion by 2034 - a compound annual growth rate of more than 42%.

"Firstly, accounting is governed by rules, the focus is compliance, the focus is ensuring things are done right [and] that's a big part of the role of finance," said Sankar. "I want to make sure that I sign on the dotted line saying these numbers are accurate that I'm complying with rules and regulations. "That will never change but if you look at how it is performed today it's a very labour intensive process so we believe there's a lot of opportunity for automation."

Liberate, an AI startup automating insurance operations, has raised $50 million in a round led by Battery Ventures as it looks to scale its agentic deployments across carriers and agencies globally. The all-equity round values the three-year-old startup at $300 million post-money, with participation from new investor Canapi Ventures and returning backers Redpoint Ventures, Eclipse, and Commerce Ventures. The insurance industry has been navigating a difficult stretch, with rising operational costs, legacy system constraints, and increasing customer expectations.

Most haven't even defined what they want their AI agents to do. The networking hardware manufacturer found in its 2025 AI Readiness Index that most companies are planning to deploy additional AI agents in the next few years, and 86 percent expect it to improve employee productivity within three years, but those expectations don't necessarily match the reality of what it takes for such an initiative to succeed.

Future workforces in enterprise will be a combination of humans and digital humans. Some of them will be OpenAI-based, and some of it would be Harvey-based or Open Evidence or Cursor or Replit or Lovable,

Apple is facing a tough new rival in the era of AI, according to the company's former CEO. Speaking at the Zeta Live conference in New York City on Thursday, Apple's former CEO, John Sculley, said OpenAI represented "the first real competitor" that Apple has had "in many decades." "AI has not been a particular strength for them," Sculley said of Apple.

The age of agentic AI - where autonomous systems make decisions and take actions at speed - has dawned in ways government agencies may struggle to grasp. As agencies explore ways to bring agentic AI into public service, resilience can no longer be a component of the strategy; it is the strategy. When integrating AI agents, the federal government must prioritize rapid reversibility and transparent, auditable recovery.

The modern enterprise has more data than it can handle, and AI agents are increasingly stepping in to help. AWS aims to tackle that data overload with its new Amazon Quick Suite, an agentic AI system released Thursday that can conduct deep-dive research, answer questions, analyze and visualize data, and automate workflows. The company claims the AI-driven system has slashed the time required for research analysis from months to 20 minutes, and helped solve complex customer queries in 15 minutes rather than hours.

agentic AI experience that reimagines the way people get work done,

Yes, ServiceNow offers a comprehensive agentic AI platform. It was first introduced with the Yokohama release that entered early access on January 30 2025 and reached general availability on March 12 2025, then expanded further throughout 2025. ServiceNow's agentic AI represents an evolution from scripted automation to fully autonomous digital teammates. These AI-powered agents reason, plan, and act on behalf of users across IT, HR, and customer service workflows.

The European Commission is investing €1 billion in artificial intelligence. Its aim is to reduce dependence on American and Chinese technology. This Apply AI strategy focuses on ten crucial sectors, from healthcare to defense. The European Commission's new Apply AI strategy builds on an action plan published in April this year, writes Reuters. The goal is clear: Europe wants to become less dependent on foreign technology.

Google is previewing a new Gemini AI model designed to navigate and interact with the web via a browser, letting AI agents do things inside interfaces designed for use by people and not robots. The model, called Gemini 2.5 Computer Use, uses "visual understanding and reasoning capabilities" to analyze a user's request and carry out a task, such as filling out and submitting a form. It can be used for UI testing or navigating interfaces made for people who don't have an API or other direct connection available.

Sam Liang, co-founder and CEO of Otter.ai, told ITPro that the firm has built integrations with systems such as Salesforce and HubSpot, as well as project management systems such as Asana and Atlassian. "The data can flow both ways," Liang explained. "The data can automatically be put into Otter so that the Otter Agents can make use of the CRM data, or project management data in meetings, or the data can flow out of Otter to whatever system enterprise customers use."

Pax8 wants to enable managed service providers (MSPs) to deliver added value to their customers with agentic AI. The new Agent Store offers a platform for ready-made AI solutions. It should help MSPs transform into Managed Intelligence Providers (MIPs), which we reported on earlier. With the Agent Store, Pax8 says it is introducing the first agentic AI platform specifically designed for the SMB market.

Before we dive into the details: Joule is SAP's AI co-pilot, a chat window that allows users to communicate with SAP software in natural language. Joule agents are specialized AI assistants that not only provide answers but also perform actual actions. They analyze data, make recommendations, and perform tasks that were previously done manually by the user. The difference with a traditional copilot is that an agent can independently reason about complex information and then take action without you having to intervene constantly.

For years, corporate learning has relied on standardized training paths. Everyone in a particular role or department would take the same courses, follow the same timeline, and complete the same assessments. While this approach simplified management, it also led to limited engagement, mismatched learning levels, and wasted training hours. Today, as workplaces become more dynamic and employee expectations rise, Learning and Development (L&D) leaders are rethinking this one-size-fits-all model. The answer lies in personalized learning journeys, and the key enabler is agentic AI.

Agentic AI projects are likely to fail at a rate far higher than currently predicted and present a major challenge to cybersecurity operations, according to an information security expert. Haider Pasha, EMEA CISO at Palo Alto Networks, told ITPro that the benefits of would be outweighed by the risks if chief information security officers (CISOs) don't employ strict strategic and technical controls over the technology's deployment.

AI agents often break shadcn/ui components with outdated docs or made-up props. The MCP server fixes this by giving live access to registries. In this tutorial, we'll set it up and build a Kanban board to show it in action. Chizaram Ken Oct 3, 2025 5 min read Learn how to structure Rust web services with clean architecture, Cargo workspaces, and modular crates for scalable, maintainable backends. Jude Miracle Oct 2, 2025 2 min read

We are going to chat about architecting systems with agentic AI. What's today's topic? Today's topic is agentic AI that many consider even a buzzword in software architecture. What does it really mean for senior practitioners that have to build today's production system? Panelists will discuss what makes AI agentic and how it differs from traditional AI implementation. My name is Renato Losio.

Agentic AI has become a hot topic amongst software developers in recent months. As usage of LLMs has become increasingly popular, many developers are switching to agentic AI services to build projects. One point of contention with agentic AI is that productivity is always limited without proper context. Solid context is crucial in streamlining agentic AI tools, as it guards against things like hallucinations and inefficiencies with software development.

AI is the next big hurdle for security teams, especially on the software development side. Companies need to make sure that users don't use AI to create hacking bots either on purpose or accidentally. They also need AI access controls so that AI can only access the services it should. Otherwise you leave yourself open to bad actors who could force agents to access bad sources. Visibility into AI activity is key to safe use.