AI agents are moving from demos to production workloads that touch real data, real systems, and real business outcomes. According to G2s 2025 AI Agents Insights report, 57% of companies already have AI agents running in production, a clear signal that this is no longer experimental. Yet with product

Advances in model performance (e.g., Claude Opus 4.6’s hybrid reasoning and one-million-token context window) and progress in agent harness design (planning tools, file system usage, skills, and guardrails) mean business-critical processes, previously out of scope for AI agents, are now viable in pr

AI is changing the dynamics of software delivery. Code is being created faster, changed more often, and pushed through increasingly complex application landscapes. That shift raises a new question for quality teams: how do you keep pace without losing control? Many of today’s AI capabilities in test

Enterprise leaders have spent the last two years building the case for agentic AI. Proof of concepts. Pilots. Internal demos that impress the room. And a lot of that work has been promising. But what I keep hearing from customers is that the gap between an AI pilot that works and a process that runs

Performance testing has a branding problem.Somewhere along the way, performance testing became the domain of specialists, the people who talk in percentiles, tune thread pools, and join the process two weeks before go-live. That model once worked. It doesn’t anymore. Modern applications stretch acro

Tightly regulated industries are struggling to escape the agentic AI pilot trap. For example, while 78% of P&C insurers have adopted the latest AI, only 4% have scaled it across their claims operations and just 27% have attempted end-to-end claims transformation. Claims, where AI should deliver

In recent years, the introduction of AI has increased the power and impact of enterprise automation, enabling us to strive for ever-greater efficiency and productivity. At the same time, the processes these automations are empowering have also grown in complexity. Investment has poured into siloed e

McKinsey predicts that AI will be a huge driver of global productivity. And PwC estimates AI could contribute up to $15.7 trillion to the global economy by 2030. Many governments around the world are recognizing this and taking steps to maximize its positive impact on their economies, including the

New AI models like DeepSeek R1 hold immense promise but raise critical questions about governance, security, and avoiding vendor lock-in. UiPath believes enterprises can achieve both innovation and security without compromise. In this article, I’ll share my thoughts on the release of DeepSeek R1 and

Since its inception, the story of automation has been one of linear progress. From robotic process automation (RPA) to intelligent document processing (IDP), each new innovation has made enterprises more productive, profitable, and agile.But now, something bigger is happening. A new technology—agent

AI agents are rapidly becoming table stakes for the enterprise. These AI-model-based entities are capable of advanced reasoning, decision making, and continuous learning. When AI agents are empowered to execute complex and dynamic processes end to end, we call this agentic automation. The hype is pa

Businesses are done playing with AI. They are getting real results with agentic automation. The most forward-thinking enterprises are orchestrating AI agents, deterministic robots, and people into impactful, end-to-end workflows. At our recent Agentic AI Summit, we showcased how UiPath customers are

Business runs on documents and communications. They underlie almost every process you can think of—anywhere a message (like an email or chat) or document is read or sent. It’s no surprise, then, that the market for intelligent document processing (IDP) is growing 28.9% each year and is expected to h

New to agentic orchestration? Start here.Let’s get real—AI agents aren’t easy to build or deploy. But once they’re embedded, the impact is incredible. I love hearing from UiPath customers like Ainara Etxeandia Sagasti, Head of the Digital Services at Lantik, who’s combining RPA, generative AI, and a

Were back from Microsoft Build 2025, and if there’s one thing that was impossible to miss: agentic AI is everywhere. Everyone’s talking about it, building it, testing it—and we’re right there in the thick of it, bringing real-world agentic automation to life. At the UiPath booth, the energy was high

Look under the hood of any enterprise today, and youll find a complex patchwork of automation tools, digital workflows, cloud platforms, and now AI agents. While each promises value, these systems are piling up like mismatched Lego bricks. Instead of bringing clarity and efficiency, many have introd

Documents underlie every business process. Traditionally, businesses fully depended on people to understand and process them, before their approach evolved to incorporate AI and automation. With the advent of AI agents—AI-based software entities able to plan, work, and make decisions independently—d

We’re excited to share that UiPath has been named a Leader in the inaugural Gartner® Magic Quadrant™ for Intelligent Document Processing (IDP). To us, this recognition highlights the continued strength of our vision and execution in a rapidly growing market that’s transforming how enterprises unlock

Everywhere you look, AI is making headlines—new models, new breakthroughs, endless hype. But the next leap isn’t just smarter models, it’s agentic AI: AI that doesn’t just generate answers, but takes action, makes decisions, and uses tools to get things done. An emerging theme is that the success of

This blog post was originally published on the Peak AI blog.Maximizing business performance by improving your decision making and outputWe all make around 35,000 decisions every day. While 95% happen subconsciously, the remaining 5%—roughly 1,750 decisions—require active attention. These conscious c