Platform-first approach for building AI solutions promises speed, but in real enterprise landscapes, it often leaves teams guessing where the platform truly carries the load and where hidden complexity still sits on their side. Pilots look good in the studio, then hit fragmented data, legacy commerce/ERP systems, compliance, and cost constraints, and “platform-first” starts to feel like “platform-shaped constraints” you didn’t plan for.
This whitepaper breaks that pattern. It maps what a production-grade enterprise AI architecture actually includes, shows where a platform-first approach genuinely carries the load, and where responsibility shifts back to your teams. It helps define clear boundaries between platform capabilities and enterprise ownership, so pilots become reusable building blocks, not one-off experiments.
Expect practical architecture, not theory: patterns shaped in SAP- and ERP-centric environments, thinking frameworks for platform-first pilots, and a clear view of how to move fast without locking your AI backbone into decisions you will regret later.
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the whitepaper
the whitepaper
