RECOMMENDATION MANAGER · INSIGHT TO ACTION
Manage recommendations from insight to action.
Prioritise the right response. Connect recommendations to workflows and approvals. Capture the outcomes.
Your team is drowning in alerts. The signal is buried in the noise.
Recommendation Manager is the decision layer between insight and action.
It manages operational recommendations end-to-end — from prioritisation to approval to outcome — so the signal that actually matters lands in front of the right person, with the context and authority to act.
Primarily supports
- Advise & Coordinate — the operating phase between Monitor & Predict and Operate Autonomously.
- Human-Controlled & Human-Approved decision paths — with audit trail attached.
- Operational prioritisation — which recommendations matter most, right now, for which team.
- Next-best-action workflows — routing each recommendation to the right person and the right system.
One inbox. Recommendations from every level of intelligence.
Recommendation Manager isn't tied to a single source. It's the operator-facing surface for recommendations produced anywhere in the platform — deterministic rules, reasoned AI, or autonomous cognitive agents. Whatever's generating the recommendation, the human sees one consistent surface to triage, approve, and act.
TIER 1
Deterministic
Rules-based recommendations
Threshold breaches, time-based triggers, and deterministic logic composed directly on the Stream Designer canvas. Same recommendation pipeline you've always had — just routed and surfaced consistently.
Explore Stream Designer →TIER 2
Reasoned
Reasoned recommendations
AI Workflow Harness adds governed LLM reasoning to the same canvas — classifying signals, prioritising response, and explaining the why. Advisor-pattern outputs land in Recommendation Manager with the structured evidence operators need to trust them.
Explore AI Workflow Harness →TIER 3
Cognitive
Cognitive recommendations
Cognitive Agents (MAGS) plan across decisions, learn from outcomes, and coordinate as a team. Their recommendations carry deeper context — observed patterns, retrieved knowledge, multi-agent reasoning — routed into the same inbox under governed control modes.
Explore Cognitive Agents →The lifecycle of a recommendation.
From anomaly detection to resolution — follow a single recommendation as it flows through the system.
What Recommendation Manager does,
end-to-end.
From the moment a recommendation fires to the moment its outcome is captured — six jobs Recommendation Manager handles inside one operator experience.
Take a tour-
Manage operational recommendations
Every recommendation gets a unique ID, status, and lifecycle — visible in one inbox across teams and shifts.
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Prioritise response
Severity, confidence score and time decide what reaches the operator first — the right recommendation, to the right team, at the right moment.
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Track status & ownership
Who's working on what, what's open, what's closed — with full handover continuity across shifts.
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Link to evidence & context
Event data, asset history, open work orders, SME-authored triage protocols and discussion threads — attached to every recommendation.
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Route into workflows
From the recommendation straight into SAP, EAM, ServiceNow or your own back-of-house systems — work order created, parts ordered, action initiated.
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Capture feedback & outcomes
Did the recommendation solve the problem? Every outcome feeds back into the rule that fired — so the next one is smarter.
RULES ENGINE
Granular, Logic-Based Rule Building
Set up thresholds using static and dynamic data to trigger specific recommendations before an important event occurs. No coding — visual rule configuration.
INTERACTIVE TOUR
Take a Tour of Recommendation Manager
PRODUCTION PROVEN
Trusted by Industrial Operators
Where to go next.
Recommendation Manager is one component of the wider Agentic Operations Platform. Continue exploring the surrounding architecture.
Turn alerts into action.
See how Recommendation Manager gives your team the prescriptive intelligence to act before critical events happen.
