Opinionated takes on agentic AI, enterprise transformation, and what it actually takes to build AI-led products at scale.
A2A is not just a developer standard. It is the infrastructure layer that makes enterprise AI agents interoperable — and for companies navigating agentic transformation, it changes everything about B2B integration. The question is no longer whether your AI can work. It is whether your AI can talk to theirs.
UCP, ACP, and MCP aren't competitors — they're layers. Here's the framework, the implementation sequence, and the Walmart reality check that reframes everything.
AI agents are becoming the primary interface between consumers and brands. What BCG and Commercetools' research reveals about the transformation already underway.
Nearly two-thirds of organisations haven't scaled AI beyond experimentation. The gap isn't technical — it's a product leadership problem. Here's why the CPO closes it.
Most organisations conflate AI agents with RPA and traditional automation. The distinction matters more than most realise.
Most AI pilots fail before they reach production. The common denominator isn't technical debt — it's the absence of a product operating model from day one.
Static governance models were designed for predictable software. Agentic AI demands something fundamentally different.
From agentic architecture to 0→1 product strategy, Cocoye.ai provides the fractional CAIPO leadership your enterprise needs — without the full-time hire.