To close the loop between insights and actions enterprises will need to double down on process intelligence and efficiency, or what Constellation Research analyst Holger Mueller calls high-fidelity (hi-fi) process management.

In a report, Mueller said hi-fi process management--a higher quality process-centric approach to driving insights--can be enabled by object-centric process mining (OCPM).

The topic is timely since enterprises and vendors are rushing toward AI agents that will be able to be autonomous, make decisions and carry out tasks. The problem, as I've noted before, is that agentic AI without process intelligence is simply going to scale bad processes. The worst case: Agentic AI is just going to be a lift of shift of inefficiency.

Mueller's report couples two big ideas: Enterprise Acceleration and Infinite Computing. For enterprises to move faster and be more agile, insights will be the enabler of action. The issue is reports, spreadsheets, data warehouses and platforms, big data, visualizations and distribution of insights haven't lived up to expectations.

According to Mueller:

"Unlike generic insight-to-action approaches based on traditional business intelligence (BI), process mining delivers actionability by design—because it starts with a deep, system-level understanding of how processes actually run. By mapping real execution data, process mining not only uncovers inefficiencies but also provides the contextual insights needed to drive precise, high-impact optimizations. This makes it inherently more suited to enabling sustainable, enterprise-scale transformation."

Mueller walks through the advances and OCPM vs. traditional process mining and argues that process needs to be included in data and AI strategies. In fact, process is the glue between the two and the "foundation of the underlying AI."

Mueller added:

"Every 5-10 years the underlying techological capabilties for whole enterprise software categories enable new best practices. In most cases vendors just do a 'lift and shift'. In the case of process mining - the technical capabitlies are powered by Infinite Computing - changing both the operator paradigm from human to software and the ability to model an enterprise with an infinite method - object centric process modelling."

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