Meana Petro
OP-08FrontierWave 3AIIT

Real-Time Decision Support Layer

In one sentence

Brings the recommendations from every capability into one prioritised queue, so the team works the highest-value item rather than the loudest alarm.

The problem

Once a dozen capabilities are deployed, each produces its own alerts and recommendations. Without a prioritisation layer the team receives more signals than it can act on, and alarm fatigue undoes the value of every individual capability.

How it works

Recommendations from all capabilities are normalised into a common structure — expected value, confidence, urgency, effort, owner — and ranked into one queue. Actions and outcomes are tracked back to the originating capability, which makes it possible to measure which capabilities are actually earning their place.

Data required

  • Deployed capabilities emitting structured recommendations
  • Value and cost parameters agreed with the operator for normalisation
  • Organisational roles and decision rights per recommendation type
  • Outcome feedback from execution systems

What you get

  • Single prioritised action queue across all capabilities with ownership
  • Realised-value tracking per capability and per action
  • Alert-fatigue metrics: volume, action rate and time to close

What it cannot do

Normalising expected value across very different capability types requires assumptions the operator must own, and the ranking is only as credible as those assumptions. This layer also exposes uncomfortable facts — that some deployed capabilities generate recommendations nobody acts on — which is useful and is not always welcome.

Every capability page states a real limitation. If a vendor cannot tell you where their product stops, you are not being told the truth about where it starts.

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