Join AEI webinars, executive briefings, and ecosystem events to accelerate agentic AI from pilot to production value.
The hard truth about why enterprises keep hitting the same wall and what winners do differently
April 30, 2026 - 11:00 AM PT / 2:00 PM ET
90% of agentic AI initiatives will stall before scale. This AEI webinar reveals why promising pilots fail, where enterprise execution breaks down, and what leading organizations do differently to achieve production-grade reliability, stronger governance, and faster path to business value. If your AI strategy is stuck between demo success and enterprise reality, this session is for you.
Why enterprise AI leaders must rethink governance for AI agents that reason, act, and make decisions in production.
May 14, 2026 - 11:00AM PT / 2:00 PM ET
Enterprise AI Governance Panel
Senior enterprise leaders in AI, technology, risk, compliance, and transformation sharing real-world pain points, hard lessons, and success patterns from enterprise AI adoption.
Description
Most AI governance frameworks were designed for a world where AI produced outputs for humans to review. Agentic AI changes the equation. AI agents can reason, plan, call tools, access systems, execute workflows, and make decisions at runtime. That means the real governance challenge is no longer just model risk, policy compliance, or responsible AI principles. It is delegated authority, runtime control, decision provenance, observability, escalation, and accountability in production. In this AEI webinar, we will explain why existing AI governance frameworks are no longer sufficient for AI agents and what enterprise leaders must engineer differently to govern agentic systems safely, reliably, and at scale. The session will also feature a panel of enterprise leaders sharing practical lessons from the front lines, including adoption barriers, governance failures, implementation challenges, and success stories.
What professionals and enterprise leaders must do in 2026 to stay relevant, build AI-era skills, and turn career disruption into advantage.
May 28, 2026 - 3:00PM PT/ 6:00 PM ET
Enterprise Workforce Panel
Senior leaders in AI, talent, operations, transformation, and business strategy sharing real-world lessons on job disruption, reskilling, workforce redesign, and career reinvention.
Description
AI is no longer just improving productivity. It is rewriting jobs, reshaping career paths, and changing what organizations value in talent. In 2026, the winners will not be the people who simply “use AI tools.” They will be the professionals and leaders who understand how AI agents change work itself, redesign workflows, build new skills, and create measurable business value. In this AEI webinar, we will explain how agentic AI is disrupting jobs and careers, why traditional upskilling is not enough, and what individuals and enterprises must do to stay on the winning side. The session will also feature enterprise leaders sharing real-world pain points, hard lessons, and success stories from workforce transformation.
How consulting firms can build a differentiated practice before everyone sounds the same
June 11, 2026 - 11:00 AM PT / 2:00 PM ET
The market is moving past generic AI strategy decks and prototype factories. Buyers now need firms that can design, govern, and operationalize agentic systems in production. This session shows where legacy AI services models break, where margin is shifting, and how firms can build a high-value Agentic Engineering capability before the market gets crowded.
Registration will open soon.
The agentic AI platform land grab is on and enterprise buyers are raising the bar fast
June 25, 2026 - 11:00 AM PT / 2:00 PM ET
In the first agentic wave, AI platforms sold orchestration. In the next wave, they will be judged on control, trust, governance, observability, and enterprise fit. This webinar explores how the AI platform layer is changing, what enterprise buyers will demand next, and how AI platform providers can move from tool vendor to strategic infrastructure partner.
Registration will open soon.