Satya Nadella’s remarks at Davos cut through one of the loudest anxieties surrounding AI today: whether it is all hype and no substance. His answer is refreshingly pragmatic. AI only looks like a bubble when organisations treat it as a technology investment rather than a productivity transformation.

The uncomfortable truth, echoed by PwC’s findings, is that most AI initiatives fail not because the models are weak, but because the work itself never changes. Companies layer AI tools on top of legacy processes, hierarchical decision paths, and manual approvals—then wonder why nothing improves. Nadella’s point is sharper: AI inverts how information flows. If workflows, roles, and incentives are not redesigned, the technology simply amplifies inefficiency.

This is where the real gap lies for many organisations. Leaders are sold copilots, chat interfaces, and pilots—but not the hard work of rethinking how decisions are made, how data moves, and where automation genuinely belongs. Smaller, leaner companies often succeed because they start with AI-native workflows. Larger firms struggle because structural change is uncomfortable.

At Bynry Foundry, this is precisely where we focus. We help organisations move beyond “AI adoption” toward workflow redesign—using no-code and AI-powered platforms to re-architect processes around how AI actually works. That means mapping decision flows, removing unnecessary handoffs, automating at the right points, and building practical internal tools that deliver measurable outcomes, not demos.

AI value is not unlocked by better prompts. It is unlocked by better work.

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