Everyone Now Agrees Process Underpins AI
At a leading process intelligence vendor’s user conference, AstraZeneca and Arm said it plainly: process intelligence underpins AI success. Orchestration specialists make the same claim from a different angle, positioning process orchestration as the foundation enterprise AI automation depends on. Clinical Leader recently argued that in clinical trials, orchestration matters more than the model itself.
The thesis IGX has held for years is now consensus. Process, more than the model, is what shapes enterprise AI outcomes.
That is good news, and it makes a clear map useful. “Process intelligence” is now used to mean three different things, and knowing which is which helps you build a foundation for your AI agents.
Three Layers That Complement Each Other
There are three distinct things people mean when they say process underpins AI. They work best together, and each answers a question the others cannot.
Mining is retrospective. Process mining reconstructs what happened by extracting event logs from your systems. It reveals the real paths, the deviations and the bottlenecks the procedure manual never mentioned. Mining answers one question well: what did we actually do?
Orchestration is runtime. Process orchestration executes and coordinates flows as they run, routing work, invoking services and sequencing steps. Orchestration answers a different question: how do we run this flow, now, reliably?
Articulation is definition. Articulation is an authoritative, decision-level statement of how work should be done, structured so an AI agent can act on it. It is a canonical model of the decisions, objects and relationships that make up the process. This is the layer IGX360 Insights occupies, and it is the one most often assumed rather than built.
Mining tells you what happened, orchestration runs the flow and articulation tells AI what to do. Our method treats them as separate layers because each is strongest when the others are in place.
What Mining Gives AI, and What It Needs Alongside
Mining is diagnostic. It shows what happened, including every improvised path your organisation has taken. That is its value for a continuous improvement team. For an AI agent, it works best alongside a definition of what should happen.
An AI trained on what happened learns the workaround the night-shift team invented in 2023 and the exception that became the rule. The agent sees frequency and infers intent, so it helps to give it the intended process as well. Mining describes the past, and an agent has to decide the next action. For that, it needs a decision-level definition: this is the work, these are the decisions, this is who must authorise what. Mining benefits from that definition too, because it turns raw event paths into meaningful deviation. The Platform supplies it.
Orchestration Runs Best on a Clear Definition
Orchestration executes flows as well as they are defined. Given a clear, agreed process, it runs it reliably and repeatedly. The question for any orchestration deployment is where the definition comes from.
Mining and orchestration are strong at their layers, and both assume someone has produced an authoritative, structured account of how the work should be done. In many enterprises, the process lives in spreadsheets, tribal knowledge and diagrams that went stale eighteen months ago. Articulation fills that gap, which is why IGX360 Insights sits beneath orchestration and alongside mining.
What Articulation Looks Like in Practice
Articulation is a structure. IGX360 Insights provides a canonical model of 20 object types and 16 relationship types that turns process knowledge into a structured, machine-readable, decision-level definition.
A canonical model gives you a substrate: an authoritative account of the objects in a process, the relationships between them and the decisions that govern them, in a form an AI agent or an orchestration engine can consume directly. It feeds mining the context that makes deviations meaningful, and it feeds orchestration the definition that makes execution correct. This is the layer for process excellence teams who own the process models and now want them to guide action.
Explore the IGX360 Insights canonical model to see how the 20 object types and 16 relationship types fit together.
Build All Three Layers
The market agrees that process underpins AI. The useful question is which layer of process you are building next. Mining and orchestration are both valuable, and articulation is what lets AI act on their output with confidence.
If you already run mining and orchestration tools, IGX360 Insights works alongside them and adds the definition layer.
Which layer would most improve your AI foundation?
Talk to IGX about what articulated process clarity adds to your mining and orchestration.