Everything announced in the Transform 2026 product keynote

Most AI testing announcements are roadmaps. This one comes with receipts and a live demo of what’s next.

Eran Sher, Chief Product Officer, walks through what shipped since the March AI launch: MCP connections across every product, agents for test creation, automation, and performance testing, and AI Workspace as the control plane. All of it will come together in Tricentis One, the new system that connects every engine, agent, and data source into a single agentic quality engineering platform. Dave Colwell, VP of AI, demos three capabilities from Tricentis Labs: release risk intelligence, an exploratory testing agent called AIDA, and Agent Score, a new way to evaluate whether your AI agents are ready to ship.

“We’re moving from providing you tools that will help you do the work. We will provide you a system that will do the work for you.”

• Why enterprise context is the missing layer for AI agents and what the Tabnine acquisition brings to it
• How release risk intelligence scores coverage gaps across a full portfolio before a release ships
• What testing non-deterministic AI agents requires and why existing functional tools fall short