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The pressure to scale AI is on, forcing most organizations to take a serious look at their legacy technology stacks and reinstate failed or postponed modernization projects. AI both requires and enables a modern enterprise. Traditional barriers to modernization—such as time, cost, and business disruption—are now significantly reduced with the introduction of AI modernization tools.

It's easy to get caught up in the AI hype, but excitement can stop us from seeing the practical steps needed to make AI truly work. At Appian, we recognize that AI is at its most powerful within a process. Before you get to embedding AI in process, however, you must determine if AI is what you need.

Everyone is talking about vibe coding—Claude Code, MCP, custom CLIs—using LLMs to turn intent into working logic. It’s fast. And if you aren’t leaning into it, you’re already behind. At Appian, we meet developers where they are. But speed alone doesn’t define success, and there’s a massive difference between a good workflow and a better one. Locking developers into one way of doing things is a losing strategy. That’s why we are releasing MCP and CLI tools.

We are in the middle of the fastest acceleration in software development that the industry has ever seen. Thanks to highly capable models from technology leaders like Anthropic and OpenAI, we have entered the era of vibe coding—a world where developers describe what they want in natural language and get working software in return.

If you are like most enterprise leaders, you are managing a sprawling estate of hundreds—or even thousands—of disjointed legacy applications built on outdated frameworks, consuming an estimated 55% to 80% of your IT budget just to "keep the lights on." This legacy drag stifles innovation. Yet the traditional answer—"rip-and-replace"—often makes things worse. Multi-year, high-risk projects that rewrite everything from scratch can be catastrophic.

Appian’s latest updates deliver powerful new tools to consolidate legacy systems, automate complex knowledge work, and scale data integration. Modernization projects are notoriously high risk, but Composer derisks the start of your journey by ensuring total stakeholder alignment before development begins.