The Agentic Pivot

Would you let an AI agent manage your bank account? For customers of Revolut or Robinhood, this isn't a futuristic concept, it's their daily reality. From fraud detection to handling payments and managing subscriptions, tasks are already being handled autonomously. This marks a fundamental shift: we are moving from Regular AI (chatbots that only talk) to Agentic AI (systems that take action). Anthropic’s promise that product teams will become 50% more productive? Here is how we are making that happen.

1. From hypothesis to validation in Days

Traditionally, an entire quarter is lost to writing requirements, waiting for prototypes and scheduling demos before you finally know if an idea works. With Agentic AI, we’ve completely flipped that process. For example, when our customers asked for A/B testing, we used AI-generated prototypes to cut straight to the core: did they actually want to run tests themselves, or did they simply want better results? The outcome was staggering: we had a proof-of-concept in a single day and customer feedback within a week. We quickly discovered that the real solution wasn’t simple A/B testing, but integrated Agent Lifecycle Management.

2. The Death of the Communication Loop

The biggest roadblock to speed is often the endless back-and-forth between product management, design, and engineering. Agentic AI acts as the ultimate translator here. Instead of a static, text-heavy document, the PM now "shows" an AI-generated prototype that makes the vision immediately tangible. We saw the impact instantly during the launch of our new Orchestrator product: alignment time plummeted by 40%. Weeks of frustrating back-and-forth were reduced to just a few days.

3. The rise of the 10x PM

The role of the PM isn’t shrinking; it’s becoming significantly more powerful. When AI handles the heavy lifting of building prototypes and streamlining cross-team coordination, space finally opens up for what truly matters. Instead of drowning in operational details, the PM can focus entirely on a deep understanding of the customer problem, razor-sharp prioritization, and claiming full ownership of the final output. The focus shifts from managing processes to realizing maximum impact.

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The 10x PM is not a myth. It is what happens when strong product instincts are amplified by tools that virtually eliminate the distance between an idea and its validation. Where chatbots used to just carry the conversation, AI agents are now taking control.