AI agents have exploded. And we use this term intentionally. Tech vendors rushed to put out agent products that don’t stand up to enterprise use with results that were mostly underwhelming and sometimes even catastrophic.
Appian took a different approach. While companies are now scrambling to validate the efficacy of their AI, Appian’s AI is field-tested, so the products you get are ready to use and safe to deploy from day one.
With the release of two new AI features, the Appian 25.4 release offers powerful AI agents and AI-augmented development tools that are ready for enterprise use. Through our most rigorous beta program yet, we’ve refined and tested our AI agents and introduced new AI-augmented development capabilities validated by enterprise customers across some of the most highly regulated industries.
A quick glance at any article about AI agents will make it painfully clear that most businesses are still trying to figure out how to make them work.
That’s where your processes come into play. To make agents effective, they need to be used inside of an existing business process. That often means AI does work that’s not glamorous, like validating employee expense reports or verifying claim and policy information. But that boring work is what keeps your business running. And it’s the best way to get ROI from AI agents today.
Agent Studio provides a guided experience for building enterprise-ready AI agents. You can create agents in minutes and simply drag and drop them into your process to start automating work.
Appian’s agents go beyond personal productivity. And they don’t require a human to ask them to work on something. They automate complex, cognitive tasks directly in the processes that run your business.
Because Appian agents are embedded in your processes, they have the guardrails, tools, and data needed to do open-ended work safely and efficiently. And human review can be built right into the process.
The best part? Our agents are ready to deliver value right away. At the conclusion of our longest-ever beta program, 100% of beta participants rated Agent Studio as intuitive, or very intuitive. 80% of participants reported being confident and ready to deploy Appian AI agents in their processes.
If agent failures weren’t enough, AI-augmented development tools, app gen tools, and even “vibe coding” are also missing the mark on value.
Using AI to augment development has massive potential for how businesses modernize their legacy applications. But the difference between success and failure again comes down to structure and guardrails.
AI-augmented development tools that aren’t paired with strong foundations will result in complex code that breaks, is impossible to maintain, and becomes "legacy” in just a few years. But when you combine generative AI with the structure and flexibility of an enterprise-grade low-code platform, you get applications that are easy to update and maintain as business needs change.
These tools are not created equal. The reason most applications generated with AI fail is because they overlook a key step in the development of any new solution: the plan. That’s where Appian’s new capability for AI-augmented development, Composer, gets it right.
Composer uses requirements docs and natural language to plan out the exact application you’re looking for, complete with user interfaces and workflows. This provides the perfect collaborative space for business and IT to align on the solution that needs to be built. You can chat with Composer throughout the process to refine the plan, and then when you’re ready to deploy, it generates all the components you need to launch a fully functioning Appian application.
Appian gives you the tools you need to modernize your systems and processes. And the capabilities delivered in 25.4 are just the start.
For 25 years, Appian has led the market in process automation. No platform is better equipped to deploy agents in enterprise workflows. And we’re trusted by industry leaders around the world to run their mission-critical processes. That’s what serious work looks like.
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