Enterprise AI Procurement Shifts: Model Access is Table Stakes, Real-Data POCs Now Decisive
sanjaykalra · x · 2026-08-14
The author highlights that as access to frontier models becomes commoditized, enterprise AI procurement has shifted from 'model capability' to 'verifiable business fit'.
Clients now demand answers to three core questions in initial meetings:
- Will you run a POC on our real data before scoping? (Typically requiring a 4-8 week testing phase in the client's environment).
- Who owns the generated context and process knowledge?
- Can the system handle undocumented exception paths?
The model itself is no longer a differentiator; the real test is integrating AI seamlessly into complex enterprise environments and permissions.
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