Artificial Intelligence is the buzzword of our time. Every organization is exploring how AI and process mining can transform the way they work — from streamlining operations to reducing costs and enabling faster, smarter decisions across the business.
But here’s the challenge: AI alone is not enough. Without process mining, AI is like a pilot sent into the sky without a map, a compass, or a GPS — missing the operational visibility needed for truly intelligent automation.
AI agents are incredibly capable. They can analyze, decide, and act autonomously. But just like a pilot needs instruments to navigate, AI needs context — and process mining provides that foundation for successful, data-driven AI projects.
That’s what process mining provides. It uncovers how your processes actually run, not how you think they run — delivering the operational intelligence AI needs to make data-driven decisions. It then aligns AI with business goals and guides it in real time.
Imagine AI with a clear map of your operations, a compass to point it in the right direction, and a GPS that constantly recalculates the best route forward. Suddenly, AI and process mining together aren’t experimenting blindly — they’re driving measurable business impact.
For years, process mining has helped organizations gain deep visibility into how their operations truly work — revealing inefficiencies, bottlenecks, and opportunities for improvement. It has transformed how companies understand and optimize their processes through data-driven insights.
Now, with the power of AI, process mining takes the next step forward. By combining process mining and AI, organizations can move from hindsight to foresight — anticipating what’s coming, identifying potential issues before they occur, and guiding AI agents toward the best possible decisions. And because AI continuously learns, every cycle makes the system smarter and the recommendations sharper.
This evolution turns process mining and AI from tools for understanding the past into a combined engine for intelligent, continuous improvement.
Across industries, organizations that connect process mining and AI are already seeing tangible benefits. Finance teams are automating repetitive work, healthcare providers are streamlining patient flows, and supply chains are running with greater resilience.
The outcomes are consistent: higher efficiency, lower costs, and smarter decisions. What’s more, process mining acts as a guardrail — ensuring that AI doesn’t just generate activity, but delivers progress that truly moves the business forward.
We recently hosted a webinar, Driving Agentic AI with Process Mining, together with Roger Potter, Co-founder & Chief Analytics Officer at Cognitio Analytics, where we walked through how this powerful combination sets the foundation for AI success. If you weren’t able to join us, I encourage you to watch the recording.
Watch the webinar recording here
And if you’d like to explore what this could mean for your organization, I’d be happy to continue the conversation.
Because in AI, intelligence alone isn’t enough. What matters is direction — and process mining gives AI the operational intelligence and context it needs to succeed.
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