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Hey there, Celonis Community! ๐
Ever feel like the AI hype train is moving at lightning speed, but your actual enterprise workflows are still stuck at the station? You arenโt alone.
Let's talk about the massive elephant in the room: the gap between personal productivity hacks and real, scalable Enterprise AI.
Weโve all seen what generative AI can do. It can write a catchy email, summarize a long article, or write a quick script. But when it comes to running a multi-million dollar supply chain or managing complex procurement? Thatโs a whole different ball game.
Did you know that 88% of organizations use AI, but only a measly 10% successfully scale their agents? ๐คฏ
Here is why: LLMs are brilliant generalists. They know exactly how a supply chain works in theory. What they don't know is your business. They have severe operational blind spots regarding your specific, proprietary data. Relying on AI to blindly guess at your operational realities isn't just unreliable, itโs incredibly inefficient and costly.
To move past generic answers and actually execute business-critical actions, AI agents need more than just prompts. They require absolute operational clarity, a deep, living understanding of:
- What has happened ๐
- What is happening right now โก
- What should happen next ๐ฎ
๐ก The Reality Check: Game-changing Enterprise AI must combine this rich process data with the intelligence to simulate what-if scenarios, weigh pros and cons, and predict outcomes in real time.
By unifyingย deep business knowledge and predictive intelligence into an openly accessible layer, organizations can finally transition away from unpredictable, costly AI experimentation and start driving deterministic, trusted value.
๐ฌ Over to You, Community!
- Where is your organization on the AI journey? Are you part of the 10% scaling up, or still experimenting?
- What operational blind spots are you trying to solve for your AI agents?