Miragon AILifecycle

OptimizeLearn from what runs.

In Optimize your team learns from the processes in production what to change in them, and the loop starts again in Design. Miragon has no tool for this phase yet.

The problem today

There is no fixed way back from operations to the model

Cockpit shows you, one engine at a time, what is running and what is failing. Questions such as "Where do instances spend their time?" or "Did the last deployment make things worse?" usually need someone who writes PromQL against Prometheus or queries the engine's history API. When a number stands out, someone carries it by hand to the team that changes the model.

No tool yet

Miragon has no tool for Optimize today, and we say so on purpose. The lifecycle map on the landing page leaves this slot open. The analytics module in Pulse stays in Execute, because calling it the Optimize answer would promise more than it delivers.

What this phase needs

The questions an Optimize tool would have to answer

Each role brings its own question to operations.

  • Product ownerDoes the new version run faster, or was it the time window?
  • Automation leadWhere does a case lose time, in the work itself or while waiting in front of a user task?
  • ArchitectWhich paths and variants does the process take in production?
  • Lead developerWhat effect did the changed DMN rule have?
  • Platform leadWhich metrics do we keep, and for how long, so that comparisons span months?
  • Head of ITWhich change pays off first, and how do we see that it worked?

What Execute already hands over

Raw material for some of these questions

The analytics module needs a CIB seven engine with the metrics plugin io.miragon.mcp:cibseven-history-metrics, which exports through Micrometer to Prometheus. The plugin exists for CIB seven only. The module looks back 30 days at most, and data from before you installed the plugin is missing. It shows no waiting times, paths or variants, no business data such as product or channel, and no run times per activity and version. Both Execute tools are pre-1.0 (Pulse v0.20.0, operate 0.7.0).

Human and AI

Your team weighs the findings

  • An agentCould turn your questions into queries and lay the numbers side by side without remodelling anything itself, but no tool for that exists yet.
  • Your teamWeighs the findings and decides what goes back into Design.

Hand-over

From raw figures to a change in Design

Comes in

  • From Execute

    The raw material described above: Pulse's activity ranking, BPMN heatmap and KPI deltas, and the raw results of operate's history queries.

    • JSON and chat widgets (Pulse)
    • JSON (operate)

Goes out

  • To Design

    Findings and change requests for the model, with no fixed format yet. Your team can pin one as a todo to a BPMN element in designIQ.

    • GitHub issues

Bring us a question from your operations.

We decide from real cases what to build for Optimize, if anything. If your team faces one of these questions right now, we look at your process and your data with you and work out which question needs an answer first.

Talk to us

A 30-minute first call.