Democratizing AI Building Without Losing Control

Empower Business Innovation Without Creating AI Chaos

AI is no longer confined to data science teams.

With code-generation tools, low-code platforms, and autonomous agent builders becoming widely accessible, business teams can now create AI-powered applications faster than ever before. While this accelerates innovation, it also introduces a new challenges: AI initiatives are increasingly being developed outside established governance frameworks, creating fragmented visibility, growing technical debt, and the rise of "vibe-coded" solutions that are difficult to review, audit, and scale.

The question facing enterprise leaders is clear:

How do you empower business experts to build AI directly while maintaining control over data, models, compliance and risk?

Join senior technology, data, risk and business leaders for an interactive virtual roundtable exploring how organizations can democratize AI development without sacrificing governance, security, or operational oversight.

Discussion Topics

1. Balancing Innovation and Governance

How can organizations enable business users to build and deploy AI solutions while maintaining a single, governed point of visibility across data, models, and risk?

2. Managing the Rise of Shadow AI

As business units increasingly bypass traditional IT processes, where are the biggest challenges emerging?

• Data privacy and security concerns
• Uncontrolled model usage
• Escalating API and infrastructure costs
• AI applications that fail under production workloads
• Lack of enterprise visibility and accountability

3. Building Reviewable and Auditable AI

As code-generation and autonomous agents become commonplace, what does responsible oversight look like?

We'll discuss:

• Governance frameworks for AI-built applications
• Auditability and traceability requirements
• Compliance considerations for AI-driven workflows
• Establishing accountability across business and technology teams

4. Creating Visibility Without Becoming a Bottleneck

How can organizations maintain centralized governance while preserving the speed and agility that business teams need to innovate?

Explore practical approaches to:

• Standardizing AI development practices
• Governing data access and model usage
• Monitoring AI applications across the enterprise
• Scaling AI adoption responsibly

Join the Conversation

AI democratization is inevitable. The organizations that succeed will be those that empower innovation while maintaining trust, transparency and control.

Join this exclusive executive roundtable to explore how your organization can unlock the full potential of AI without compromising governance.

Register your interest below.