Stop the gap between your process design and reality. Use AI Reference Model Mapping to align blueprints with actual data for better efficiency and clarity.
From Blueprint to Reality: Closing the Execution Gap
You likely design your business processes with a specific flow in mind, but the reality of daily execution often tells a different story. This gap between your blueprints and how people actually work in systems like CRM or ERP is a silent killer of efficiency, clarity, and compliance. When your designs and system implementations move apart, it promotes miscommunication and stalls your operations.
Traditional fixes - like manual redesigns or periodic reviews - fail to keep up with these daily changes. AI Reference Model Mapping for Conformance Checking closes this gap.
It analyzes your execution logs and aligns them to your process models automatically. You get governance based on facts and numbers.
Why Your Processes Drift
To fix this misalignment, you must first identify what causes your execution to deviate from your blueprints. Usually, this process drift happens for three reasons:
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Fixed Designs vs. Active Reality: Your business environment changes due to supplier shifts or seasonality. If you forget to update your process design, your documentation lags behind.
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Human Variability: Your teams prioritize speed. They use local workarounds or system changes that stay hidden from your official designs.
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Limited Visibility: You might rely on BI dashboards that show snapshots of data. These often miss the actual flow of activities across your systems.
The Challenge of Standard Conformance Checking
Normally, you use conformance checking to compare your actual system data against your "ideal" process design. The goal is simple: find where the process diverges and measure the impact.
For example, if your design requires invoice approval before payment, but your logs show payments happening first, the system flags this as a deviation. This gives you a starting point, but the standard method has limits.
Limitations You Will Encounter
Conformance checking assumes your reference model is perfect. If your design differs significantly from how you actually work, you face three main problems:
| Problem |
Impact on Your Business |
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Misleading Results
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The system flags deviations that aren't actually "wrong." You waste time chasing false problems instead of real inefficiencies.
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| Static Models |
Documentation often lags behind reality. If your reference model is outdated, your entire analysis becomes irrelevant.
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| Lack of Context |
Standard tools don't explain why a deviation occurred. They treat every change as a negative, even when your team adds value through adaptations. |
The Solution: AI Reference Model Mapping
Mavim fixes this with AI Reference Model Mapping. Instead of manual adjustments, you can let AI suggest the best alignment between your designs and your actual system logs. This removes the friction from conformance checking and allows you to:
- Compare your actual execution against designs in real-time.
- Update mappings to match your changing operations.
- Reduce the time you spend on setup for conformance checks.
- Spot deviations before they lead to high costs.
- Measure the exact financial impact of your process gaps.
Ready to see how AI Reference Model Mapping clarifies your process execution? Connect with Mavim today for a demonstration.