Steve Nouri

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I think we are finally moving past the "AI is magic" phase of the hype cycle.

And honestly? It’s about time.

For the last two years, the conversation has been dominated by what the models can do.

Can it write a poem?

Can it pass the Bar exam?

Can it generate a video from a single prompt?

But as I talk to more leaders deploying this technology at scale, the conversation is shifting.

It’s no longer about the model's raw intelligence.

It’s about the system's operational discipline.

I recently spoke with a CTO who had successfully moved three major agentic workflows into production.

I asked him what the biggest hurdle was.

It wasn't the LLM latency.

It wasn't the token cost.

It was the "Exception Graveyard."

Workflows that work 80% of the time, but break when a human isn't there to catch the edge case.

Data pipelines that are fast, but lack the metadata for the AI to actually understand the context.

Governance policies that exist in a handbook, but aren't encoded into the API calls.

The hard truth is that AI doesn't fix a broken process.

It just makes the broken process happen faster.

If you want to win in the next phase of AI, stop looking for the smartest model.

Start looking for the clearest workflow.

The moat isn't the code.

The moat is the context.

What do you think?

Are we spending too much time on model benchmarks and not enough on process engineering?

#enterpriseai #aiagents #digitaltransformation

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