From AI Experimentation to Enterprise Value: AI Governance Strategies for Trusted AI at Scale
A Complimentary CIMdata Educational Webinar with Janie Gurley, Director, Data & AI Governance Practice, CIMdata, and Diego Tamburini, Ph.D. Director AI in PLM Practice, CIMdata
13 August 2026
11:00 EDT | 08:00 PST | 16:00 CET
Register About Janie Gurley About Dr. Diego Tamburini
Have you had any of these thoughts about AI governance?
- AI pilots show promise, but they often fail when we try to scale them across the enterprise.
- We are under massive pressure to justify our AI spend, but actually quantifying the ROI and business value of AI feels impossible.
- Governance and compliance processes are slowing down our teams instead of safely helping them move faster.
- Generative and Agentic AI are outpacing our policies, creating massive blind spots in security, compliance, IP, and data privacy.
- Nobody knows who takes the blame when an autonomous AI agent or assistant makes a costly operational mistake.
- Bad data and "hallucinated" outputs are eroding user trust, leading employees to either trust flawed AI results or ignore the tools entirely.
- Employees increasingly rely on AI-generated outputs without adequate validation.
- Organizations are uncertain about how to govern emerging Agentic AI capabilities.
Many organizations have successfully piloted AI initiatives, but moving beyond isolated use cases to scalable, enterprise-wide adoption remains a major hurdle. As Generative AI, Agentic AI, and intelligent automation become more deeply embedded in business processes, the pressure is on to balance rapid innovation with strict security, accountability, and measurable business value.
Without effective governance, AI initiatives often stall because of concerns about data quality, transparency, regulatory compliance, decision accountability, and operational risk. At the same time, organizations must establish frameworks that enable innovation rather than restrict it.
In this webinar, we will explore practical approaches to AI governance that help organizations accelerate adoption while maintaining trust, oversight, and business alignment.
Attendees will learn how leading organizations are building governance capabilities to support responsible AI deployment, enhance decision confidence, and maximize return on AI investments.
Attendees Will Learn:
- How to build an AI governance blueprint that safely accelerates adoption across your company rather than creating a bottleneck.
- Specific strategies to oversee both Generative AI and autonomous Agentic AI workflows without stifling innovation.
- How to establish clear ownership and accountability for decisions made by AI assistants and automated agents.
- Practical frameworks to measure AI effectiveness, employee adoption rates, and actual bottom-line ROI.
- How to turn data quality and transparency into a competitive advantage that builds internal and external trust.
- Methods for aligning your AI governance activities directly with your organization’s high-level strategic goals.
Who Should Attend?
This webinar is designed for leaders and teams tasked with safely scaling AI across the enterprise. It will be especially valuable for:
- Executive Leadership (CIOs, CTOs, CDOs, & Strategy Teams): If you are under pressure to justify AI investments, prove ROI, and define the company’s long-term AI roadmap.
- AI, Data, & Governance Professionals: If you need to establish data quality, manage transparency, and build compliance frameworks that don't choke innovation.
- Risk, Compliance, & Cybersecurity Teams: If you are trying to figure out how to handle the immediate security, IP, and liability risks introduced by Generative and Agentic AI.
- Product, Engineering, & Enterprise Architects: If you are responsible for the actual deployment, integration, and architecture of scalable AI systems and automated workflows.
- Business Transformation & Operations Leaders: If you are trying to move AI out of the "experimental pilot" phase and embed it into daily business operations to drive measurable efficiency.
During the webinar, you’ll also have the opportunity to ask questions about the topics discussed.