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.
What we’ll cover:
- Where enterprise AI really stands and why most projects stall in pilot mode.
- Blockers to scaling AI: no one owning outcomes, messy data, governance and security gaps, and unclear costs.
- The missing link between tools and results: practical processes, sensible guardrails, and accountable owners.
- 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:
- Cut through the hype and learn why execution, not technology, is the real barrier to AI outcomes.
- Get an actionable operating model you can start testing immediately.
- Understand economic choices that enable or block enterprise-wide adoption.
- Hear executive, operational, and technical perspectives in one concise session with practical insight instead of a product demo.
Who should attend:
- CIOs, CTOs, IT leaders
- Heads of Data and AI, ML engineers, and platform leads
- Ops, support, and revenue leaders responsible for scaling AI
- Business leaders planning organization-wide AI adoption
