Unblock your product roadmap with AI

​How can Product teams drive more change with less dependency on Engineering?

​AI has dramatically accelerated software development. Yet in many organisations, Product teams are still heavily dependent on Engineering to evolve the applications they own.

​Understanding how an existing feature works, assessing the impact of a change, identifying technical constraints, turning a request into something implementation-ready and, of course, actually shipping it, still often requires developer involvement.

​The result: Product teams remain dependent on Engineering long before the first line of code is written.

​But with AI, that boundary is starting to move.

​In this webinar, we’ll explore:

• ​why Product teams still rely on Engineering to understand existing applications, assess impact and prepare changes;

• ​how AI can give Product Owners and Product Managers more autonomy, without turning them into developers;

• ​how the Product Owner role could evolve from backlog manager to true driver of application change;

• ​how Product can take ownership of more of the “what”, while Engineering retains control of the “how”, architecture and technical quality.

​The goal is to give Product teams the context and tools they need to understand, prepare and drive more changes themselves, within the guardrails defined by Engineering.

​We’ll finish with a short introduction to Rubbr, and show how we use AI to reconstruct the context of existing applications, connect product features to their implementation, and help Product teams take changes from business intent toward production with far less dependency on Engineering.