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AI Without the Hype in Mid-Market Operations — What Works (And What Doesn’t)

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Research shows 90% of AI pilots fail to reach production. The pattern is consistent: companies deploy AI on messy data and ungoverned processes, prove the technology works in testing then can’t scale because operational problems persist.

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Mid-market companies face a specific gap: Big 4 transformation programs they can’t afford, and AI vendors promising quick deployment that ignores operational reality.

In this on-demand webinar we examine what’s actually working in mid-market operations versus what fails predictably.

Why most AI initiatives follow one of two failure patterns (and what’s different about the ones that succeed)

What operational infrastructure needs to exist before AI can deliver sustainable results

How to think about AI experiments when you’re working with mid-market economics and can’t afford failed pilots

An actionable checklist for the next quarter to measure operational impact

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View this on-demand webinar where we will examine what’s actually working in mid-market operations versus what fails predictably.

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Andrea-Mondello_Web
Andrea Mondello
Advisory, Principal
New York, NY

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