Most AI programs fail for a simple reason. Teams chase moonshots instead of fixing the work that slows them down every day. Wharton surveyed more than 800 enterprise leaders. Nearly three quarters already see positive AI returns. The surprise is where that value comes from. Not massive, futuristic initiatives. Instead, the gains show up in the repeatable tasks teams handle constantly. Meeting notes. Data analysis. Document handling. The companies pulling ahead build small wins quickly. They reduce friction. They make it easy for teams to ship AI features without rebuilding security, auth and integrations every time. The rest stay in pilot mode waiting for a perfect use case. If your teams rely on manual plumbing, you are already behind. Start learning about supporting more efficient custom AI workflows: https://lnkd.in/gPPGszhv
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