The Enterprise AI Benchmarks You Forgot to Consider (Spoiler: Dashboards Can Lie!)

Hey Celonis Community! 

Let’s be honest: just about every enterprise is rolling out an AI pilot or initiative right now. And if you look at the executive dashboards, things look amazing! 🚀 Ticket automations are up, bug fixes are fast, and data parsing is a breeze.

But according to an Economist Enterprise report, while CTOs are celebrating high confidence in AI returns, the teams closest to the actual work are feeling a lot less enthusiastic. 

Why the gap? Because we are treating AI like bolt-on tech solutions and measuring activity and tasks, instead of true business outcomes. We're mistaking a busy waiter for a happy diner! 

If you want to move past vanity metrics and ensure your AI investments are driving real value, here are the benchmarks you actually need to consider:

• Ditch the Vanity Metrics 📉: Just because an AI tool is being used doesn't mean it's actually helping. Adoption rates and click counts are just noise if they don't move the needle on real business goals.
• Focus on Real Outcomes 🎯: Stop counting how many AI-drafted emails your team sends. Instead, measure whether human judgment is improving, value is being delivered faster, and actual problems are being solved.
• Look at the Whole Picture 🔄: Don't just benchmark isolated, easy-to-capture tasks. Look at how AI reshapes your entire workflow from start to finish, is the final result actually faster, cheaper, or better quality?
• Trust the Ground Floor Reality 🧑‍💻: If your executive dashboards say everything is perfect, but your day-to-day employees are frustrated, your benchmarks are broken. True accountability means making a positive change that the organization can actually feel.
• Stop Tracking Just Because It's Easy 📊: The most transformational impacts of AI are complex and hard to capture on a simple bar chart. Don't let easily measured, low-value metrics dictate the success of your AI business case!

The Bottom Line: Benchmarking is meant to create real accountability. For Enterprise AI, that means tracking actual operational value, not just generated noise.

👉 Read the full Celonis blog post here!