The Analytics Gap: Why AI Architecture Matters

Trent Teister, Pete Mannebach
4/10/2026

In this webinar recording, a Crowe professional explores why analytics initiatives fall short, details how governed, multi-agent AI delivers trusted, real-time answers from enterprise data, and offers a demonstration of Crowe Data Concierge.

Despite significant investments in data platform AI, many organizations still face delayed insights, fragmented systems, and inconsistent results. This webinar recording expands on the underlying architectural and governance gaps that limit measurable return and explains why governance is the determining factor in whether AI-generated outputs are reliable for executive decision-making. It also outlines how purpose-built, multi-agent AI architecture aligns models with business context and controls to reduce risk, improve reliability, and enable self-service access to trusted enterprise data.

Note: Only attendees of the live webinar are eligible for CPE or CLE credit for qualifying webinars. If you view the webinar recording on this page you may not be eligible for CPE or CLE. For questions about CPE, contact [email protected].

Additional CPE information

Get trusted answers in seconds
Discover how Crowe Data Concierge transforms enterprise data.

Discuss your data strategy


Connect with a Crowe professional to discuss your organization’s data architecture, governance framework, and AI strategy.
Trent Teister at Crowe
Trent Teister
Senior Manager, AI Data Management

Related insights