Just back from AI Summit London—and the Enterprise-AI landscape looks very different up close 3 things that hit me: 1️⃣ Over-crowded product shelves. Every booth promised a plug-and-play “AI platform” that magically fits any stack. But walk the floor long enough and you keep hearing the same blocker: legacy systems without APIs, scattered data, unclear business logic. Reality will be brutal for one-size-fits-all SaaS. 2️⃣ Custom-build shops quietly shine. Agencies that combine deep domain consulting with rapid custom development have a clear edge. They can drop into the messy middle, stitch things together, and ship something that actually runs inside a client’s brittle infrastructure. 3️⃣ Custom work is getting cheaper, not pricier. With code-gen models writing adapters, tests and scaffolding, senior devs now orchestrate rather than hand-type. Our experience of continuously using AI tools within the organization only confirms this. The takeaway The winners in Enterprise AI won’t be the flashiest “out-of-the-box” agents—they’ll be the nimble teams that can co-create solutions in real time, guided by the messy constraints of legacy tech.