Systems | Development | Analytics | API | Testing

In a significant leap forward for the software testing industry, Tricentis has introduced Agentic Test Automation, an advanced, AI-powered tool set to transform how QA teams create and execute automated test cases. This industry-leading agentic AI solution, directly embedded into Tricentis Tosca, allows teams to generate comprehensive test cases autonomously using natural language prompts, unlocking a new level of efficiency and productivity in software testing.

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.

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?

Build smart, innovative data products by pairing context-aware AI with automated data integration.