Systems | Development | Analytics | API | Testing

Businesses need to be able to respond quickly to macroeconomic uncertainty and changing market conditions, whether those are caused by trade disputes, public health crises like the COVID-19 pandemic, or simply abrupt changes in consumer demand. Amid that swirl of disruptions, technology leaders are also being pressured by management and investors to optimize their businesses and drive as much efficiency as possible.

Every new protocol introduces complexities—onboarding new tools and SDKs, adapting to new processes, evaluating security and performance implications, ensuring compatibility with existing systems, and overcoming the learning curve. So when a new protocol shows up, the first question to ask is: is it really necessary? Let’s ask that about MCP—what problem is it trying to solve?

The Fivetran binary log reader optimizes change data capture for superior performance when replicating from an Oracle database.

Living near Frankfurt in central Germany, I often drive through the bustling streets of this financial hub, where every business seems to pulse with ambition. A few months ago, I helped a friend who works at a small logistics company in Offenbach. His ERP system was struggling to keep up with growing orders, causing delays that frustrated his team and clients.

Automation has long been a key driver of efficiency. Traditional RPA and IDP technology promised to relieve carriers from rekeying, extracting data from forms, and other repetitive tasks. At Appian, we saw early that automation in isolation doesn't achieve transformative outcomes. Why? Because AI has too often been deployed at the edges of workflows: copilots, chatbots, or analytics dashboards that assist us when prompted.