Event Details
- Chief Data, Analytics & AI Officers
- CIOs, CTOs and Heads of AI Platforms
- Risk, Compliance & Model Governance Leaders
- Security and Internal Audit Leaders
- Data Scientists
- Business Users
Reserve Your Spot
From model oversight to accountable AI action
Built for senior leaders, this briefing moves past principles and into practice.
AI now sits inside how your business makes decisions: in the models your teams build, the copilots your people use, the agents that take action and the AI that arrives inside the products you buy. Each brings value. Each also raises a harder question about who is accountable when it acts.
Apexon and Dataiku are bringing together the leaders responsible for enterprise AI to tackle that question head-on: how do you prove your AI is under control?
Over the morning, we’ll look at how organizations are building an enterprise AI inventory, governing third-party AI, monitoring models and agents, and enforcing policies consistently. We’ll also explore how to explain consequential decisions, map them to regulatory obligations, set clear action boundaries and human approval points, and independently validate both AI systems and the controls around them.
Apexon’s AI Trust Fabric brings all of this together. It takes governance beyond model oversight to what really matters: the decisions and actions AI drives. It works with your existing AI, data, security, risk and governance environments, and you can adopt it step by step, based on your maturity and highest-risk priorities.
You’ll leave with a clearer view of where your organization stands today and a practical path to AI trust you can demonstrate on demand.
What you’ll walk away with
A clear picture of the AI you run and buy, how it behaves and what it can reach.
Practical ways to set action boundaries and human approval points as agents take on more.
A path to explainable, auditable AI that holds up to regulators, boards and customers.
Two foundations. Six integrated capabilities.
Every strong governance program starts with the same two questions: what AI do we have, and who else’s AI are we relying on? The foundations answer them. The capabilities build on top.
You can’t govern what you can’t see. One living record of every model, copilot and agent in use: who owns it, what data and tools it touches, and which decisions it influences.
Much of your AI arrives inside vendor products. Bring embedded and external AI under the same policies, evidence and accountability as the AI you build.
Monitor models and agents as they run.
Enforce policies consistently across every AI system.
Make consequential AI decisions clear and defensible.
Map AI use to your regulatory obligations.
Set action boundaries and human approval points.
Independently test AI systems and the controls around them.
Built to fit, not replace. Integrates with your existing AI, data, security, risk and governance stack, and can be adopted incrementally, starting where risk is highest.
“Trust is not a property of a model. It is a property of the decisions an organization allows AI to make, and it has to be demonstrable on demand.”