See It Work
See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

PLATFORM COMPONENTS

The runtime components behind XMPro applications, agents, and governed execution.

Connect operational data, add governed AI reasoning, build applications, manage recommendations, coordinate workflows, and deliver governed operational experiences — the components teams build with.

HOW COMPONENTS FIT

Components support the operating layer.

Data and context feed deterministic orchestration. AI Workflow Harness adds governed AI reasoning on the canvas. Applications and workflows surface recommendations for governed action.

  1. 01

    Data & context

    Connect operational sources, build real-time context.

  2. 02

    AI Workflow Harness

    Governed AI reasoning on the Data Stream Designer canvas.

  3. 03

    Applications & workflows

    Bring data and context into user-facing experiences.

  4. 04

    Recommendations & agents

    Prescribe what to do next; let agents act within governance.

  5. 05

    Governed action

    Outcomes execute with audit trail and human oversight.

XMPro components in the operational flow.

THE SIX COMPONENTS

What each component does.

01

Data Stream Designer

Connect, process, and contextualise live operational data from OT, IT, and enterprise systems.

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Real-time pipelines feeding context to the rest of the platform.

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02

AI Workflow Harness

Add governed AI reasoning into visible Data Stream Designer flows. Context assembly, tool access, output validation, routing, error handling, and observability remain inspectable on the canvas.

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For reasoning, summarisation, classification, enrichment, structured output, and validation patterns that don't yet need persistent memory, autonomous planning, or multi-agent coordination.

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03

App Designer

Build operational applications that bring data, context, recommendations, workflows, and agent interactions into user-facing experiences.

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Operator-facing surfaces where work actually happens.

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04

Recommendation Manager

Manage operational recommendations, prioritisation, decision support, and next-best-action workflows.

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Surfaces what to do next, when it matters, with context.

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05

Workflow

Coordinate tasks, approvals, handoffs, and action paths across people, systems, and operational roles.

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Carries decisions across teams and systems without losing state.

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06

Subscription Manager

Manage subscriptions, notifications, and event-driven engagement patterns across operational roles, teams, and channels.

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Who hears what, when, and through which channel.

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COMPONENT DETAIL

Inside each component.

Tab through the six components to see what each does and where it fits.

COMPONENT · Data Stream Designer

Data Stream Designer

Connect, process, and contextualise live operational data from OT, IT, and enterprise systems. The runtime layer that feeds context to the rest of the platform.

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Key capabilities

Real-time data integration
Operational context model
Visual pipeline canvas
Edge and cloud reach

PLATFORM MAP

Which component supports which platform need.

FOR EXISTING USERS

Familiar components. Broader story.

Existing customers know these components. They remain important — and they now sit inside a broader Agentic Operations Platform story alongside MAGS-powered agents, governance, and decision accountability.

The components behind agentic operations.

Talk through component fit with a solution architect, or step back to the platform.