Systems | Development | Analytics | API | Testing

Appian 25.2 Makes AI . . . Boring?

Hot on the heels of Appian World, the Appian 25.2 release delivers new AI capabilities that do regular jobs with superhuman efficiency. “It’s simple, even boring. . . but gets exceptional results,” said Appian CEO and Founder, Matt Calkins, on the main stage. That’s because Appian is focused on delivering AI value, not hype. By putting AI in the center of work—in your processes—AI can have transformative effects that go beyond one-off projects or personal productivity.

A Practical Guide on Low-Code Workflow Automation

In the fast-evolving world of data engineering and operations, agility is no longer optional—it’s a competitive necessity. Organizations are under pressure to deliver real-time insights, automate repetitive tasks, and streamline business processes faster than ever. But traditional, code-heavy development cycles can’t keep up with this pace, especially when every change request adds to your backlog and dev cycles stretch into weeks.

Building AI Agents: 6 Tips for Success

AI has evolved rapidly—from basic algorithms that suggested content to generative models that create it. Now, we're entering the AI agent era. AI agents refer to sophisticated AI systems that use reasoning and iterative problem solving to achieve specific goals. Instead of waiting for instructions, they adapt and take initiative. Agentic AI has transformative potential for enterprises.

Why Data Teams Are Best-Positioned For Agentic AI Success With Data Integration and MCPs

Building AI agents is the first step, and it’s positive to see enterprises exploring this avenue. But it’s only the first step. For true enterprise value, these agents must seamlessly connect to your data ecosystem through robust integration, standardized protocols, and be guided by knowledgeable data teams. The need to give AI agents access to data and connect them to the necessary tools and functions has led to the creation of the Model Context Protocol (MCP).

Hitachi: A Process Transformation Blueprint - Streamlining Operations with AI and Data Fabric

Learn how Hitachi America leveraged Appian’s process orchestration and Data Fabric to power AI and unify fragmented sales data across a 55+ company group conglomerate. By integrating siloed systems and delivering real-time insights to their sales teams, Hitachi empowered smarter cross-sell strategies and accelerated proposal delivery by 60%. The result: a 20% reduction in operating expenses, 4x faster time to market, and significant gains in development speed and data efficiency.

9 AI Agents Examples That Solve Real Enterprise Challenges

When ChatGPT hit headlines, many equated artificial intelligence with simple chatbots. Useful? Sure. But limited to isolated tasks and virtual assistants, they fell short of their full potential. That’s changing. Businesses are now entrusting AI agents with real decision-making power on complex tasks. These agents reason, adapt, and act autonomously—without waiting for human intervention. When they’re deployed directly into processes, they provide real value at enterprise scale.

Artificial Intelligence in Payment Processing: Efficient Investigations, Happier Customers

Artificial intelligence is one of the most impactful innovations the financial services industry has ever seen. From streamlining financial operations to enhancing customer experiences, artificial intelligence capabilities help financial sector organizations stay competitive in a marketplace that never stops shifting. The benefits of AI also extend to payment processes. Here’s a real-life example.

AI Agent vs. AI Assistant: Understanding The Differences

Thanks to artificial intelligence’s increasing influence in everyday life, many previously uncommon terms have become part of the zeitgeist, much like AI itself. Chances are, you’ve already come across the terms ‘AI agent’ and ‘AI assistant’. You might even have seen them being used interchangeably. While the two terms sound similar, what each of them represents is very different.

Demystifying the ATO Process: What Government Teams Need to Know About Cloud Security

Table of contents What is an ATO and why does it matter? DoD security levels Federal civilian security levels Key policies governing ATOs Common challenges in obtaining an ATO Streamline the ATO process with an approved cloud The federal government has made cloud computing a strategic priority. Government organizations that embrace the cloud gain security, flexibility, and cost savings.

AI Agent Framework: What it is and How to Choose The Right One

Just like every impressive building starts with a strong foundation, every remarkable capability in an AI agent can be traced back to its framework. AI agent frameworks or agentic AI frameworks make it possible to create smart, efficient AI agents that can serve as simple chatbots, facilitate agentic automation, or contribute to complex use cases in finance, supply chain, healthcare, manufacturing, and robotics as part of a multi-agent system. But what are AI agent frameworks?