Post by Treasure AI

Most enterprise AI strategies are already failing. Not because of models, but because companies never built the "brain" those models need to think. Our CPO Rafa F. just published a new piece in Forbes Technology Council on why 40% of AI-first projects fail and what companies need to fix. The critical gaps: The readiness gap: Companies are racing to deploy AI on foundations that weren't designed for it. The data problem: Without unified data, most "AI agents" are just interfaces layered on top of large language models. They're guessing, not learning. The 5 non-negotiables for AI agents that actually deliver value: 💎 Identity-resolved memory (so your AI learns instead of guesses) 💎 Context at inference (real-time decisions, not outdated assumptions) 💎 Built-in governance and trust (what makes AI usable at scale) 💎 Real-time feedback (learning from every interaction) 💎 Open and extensible ecosystems (composable intelligence across your tech stack) As Rafa puts it: "The question isn't whether you'll deploy AI agents. It's whether those agents will operate on governed, real-time data or on fragmented systems that limit their effectiveness." Read the full Forbes article: https://lnkd.in/eHaQh-mj