Post by Angel Invest

How do you make enterprise AI reliable enough to actually run business processes? In the latest episode of Cutting Edge AI, our Founding Partner Jens Lapinski and Robin Harbort spoke with Alexander Oelling, founder of INXM. They talked about why many AI projects in enterprises still get stuck after the demo stage: not because the models are not impressive, but because real business processes need to be repeatable, auditable and safe to run at scale. Alexander shared how INXM approaches this with “Compiled AI”: AI agents first learn a workflow, and once it works, the process is turned into a deterministic execution layer. That means less constant model inference, lower costs, no hallucinations and reliable execution inside existing enterprise systems. They also discussed what this could mean for the future of work, as people move away from repetitive process execution and more toward defining outcomes, asking the right questions and checking results. Listen to the full episode here 🎧 https://lnkd.in/dYTHA8Wv