AI Without the Hype in Mid-Market Operations — What Works (And What Doesn’t)
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.
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.
View this on-demand webinar to:
- 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 On-Demand Webinar
View this on-demand webinar where we will examine what’s actually working in mid-market operations versus what fails predictably.