The View from Davos with Celonis Chief Trust Officer Vanessa Candela
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Vanessa Candela of Celonis joins Patrick Moorhead in Davos to explain why enterprise AI depends on trust, process intelligence, and clean data, and why agentic AI amplifies process quality rather than fixing it.
AI ambition is easy to talk about, but making AI reliable inside real enterprises is much harder.
From Davos, Patrick Moorhead is with Vanessa Candela, Chief Trust Officer at Celonis, to talk about why trust, process intelligence, and clean enterprise data now sit at the center of AI progress. As generative AI spreads across regulated industries and public-sector environments, the risks of layering AI on top of broken processes are becoming impossible to ignore.
Rather than treating AI as a standalone capability, Vanessa explains why enterprise AI only works when it understands how a business actually operates. Process intelligence gives AI context. Without it, models generate generic answers, amplify inefficiencies, and create compliance risk. With it, AI becomes faster, more accurate, and meaningfully useful inside real workflows.
Key Takeaways:
🔷 There is no AI without process intelligence: AI systems need context to deliver value. Without clean, well-understood business processes, AI outputs remain generic, unreliable, or outright wrong.
🔷 Trust starts with data and governance: Enterprise AI depends on accurate data, secure systems, and compliance-ready platforms, especially in regulated and public-sector environments.
🔷 Agentic AI amplifies what already exists: Autonomous agents do not fix broken workflows. They accelerate them. Organizations must address inefficiencies before scaling AI-driven automation.
🔷 Process optimization unlocks real ROI: Enterprises that audit and simplify processes before deploying AI see faster cycles, lower costs, and measurable business outcomes.
Learn more at Celonis.
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Disclaimer: The View from Davos is for information and entertainment purposes only. Over the course of this webcast, we may talk about companies that are publicly traded, and we may even reference that fact and their equity share price, but please do not take anything that we say as a recommendation about what you should do with your investment dollars. We are not investment advisors, and we ask that you do not treat us as such.
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