Rethinking Product Development in the Age of AI

Gen AI is transforming product development, revealing limitations in traditional methods, particularly in Customer Insight, UX Research, Business Analysis, Product Design, and Product Management. Workflows and deliverables can now be simulated and produced within minutes, significantly reducing the time from idea discovery to documentation. As a result, legacy gatekeeping processes are struggling to keep up.

At MoMo, senior management is empowering Product Managers by aligning gatekeeping processes with key business metrics such as revenue growth, customer retention, operational efficiency, and time-to-market. This approach enables the Product team to focus on delivering measurable business impact rather than simply completing initiatives.

Looking ahead, the future extends beyond rapid prototyping. The next phase is context engineering, which enables seamless handoff of MVPs across scrum teams. With AI tools generating product specifications, Product Managers can concentrate on high-level initiatives that balance user experience with business objectives.

If you are not yet leveraging AI to streamline your product management processes or quickly develop new product features, this may present a significant challenge. View AI as an innovative tool to enhance your workflow and ensure it works to your advantage. Even with these capabilities, this is only the beginning, as many developers are now using AI to further elevate their product development efforts.

However, building a proof-of-concept, whether a prototype or MVP, is only part of the process. Product Managers play an essential role in aligning business plans, product positioning, and operational, support, legal, and financial considerations—responsibilities that extend beyond what any prototype can demonstrate.

The role has evolved. It’s time our processes and mindsets do too.