AI investment is rising, but predictable outcomes are not. Too many organizations remain stuck in pilots, assuming tools alone will drive transformation. Join Expedient leadership for a concise, no-nonsense briefing on why AI initiatives stall, what has changed, and the operating model that moves AI from experiments into production outcomes.
Our in-house experts will walk through practical examples, economic tradeoffs, and the organizational choices that unlock scaled AI adoption.
Reserve Your Spot 👉
What we'll cover:
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Where enterprise AI really stands and why most projects stall in pilot mode.
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Blockers to scaling AI: no one owning outcomes, messy data, governance and security gaps, and unclear costs.
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What’s actually changed: AI moving into workflows and starting to participate in work rather than just respond.
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The missing link between tools and results: practical processes, sensible guardrails, and accountable owners.
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How leading teams are making it happen: process-first operating models, secure data integration, co-managed systems, pricing that enables adoption, and the concrete questions leaders should be asking now.
Why attend:
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Cut through the hype and learn why execution, not technology, is the real barrier to AI outcomes.
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Get an actionable operating model you can start testing immediately.
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Understand economic choices that enable or block enterprise-wide adoption.
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Hear executive, operational, and technical perspectives in one concise session with practical insight instead of a product demo.
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Walk away with specific next steps and questions for your leadership team
Who should attend:
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CIOs, CTOs, and IT leaders
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Heads of Data and AI, ML engineers, and platform leads
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Ops, support, and revenue leaders responsible for scaling AI
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Business leaders planning organization-wide AI adoption
Learn the operating model that makes AI stick.
Meet Your Presenters
