Agentic AI for Asset Operations

Every asset understood. Every decision contextual. Every action governed.

AgenticAssetOps brings enterprise context, AI agents and governed execution together across hardware, industrial equipment, medical devices and robotic fleets.

AgenticAssetOpsContext · Agents · Action
HardwareEndpoint · Server · Network · Edge
ManufacturingMachine · PLC · Sensor · Equipment
HealthcareClinical · Diagnostic · Connected
RoboticsAMR · AGV · Cobot · Industrial Robot
The Operating Problem

Assets are connected. Asset operations are not.

Asset context is fragmented across systems, operational signals, maintenance records, telemetry, documents and human knowledge. That fragmentation slows decisions and makes automation brittle.

Inventory is not context.

Knowing an asset exists does not explain why it matters, what changed, who depends on it or what should happen next.

Signals outrun investigation.

Offline devices, abnormal telemetry, recalls, firmware drift and maintenance exceptions continuously create work.

Systems disagree.

IT, maintenance, engineering, procurement and operations often hold different versions of the same asset state.

Rules fail when context matters.

Real decisions depend on risk, site, production schedule, warranty, criticality, policies and prior outcomes.

Autonomy needs boundaries.

Updating a laptop, production robot and medical device are not equivalent actions. Governance must travel with execution.

Introducing AgenticAssetOps

From asset management to autonomous asset operations.

Create an intelligent operating layer above the systems you already use. Continuously build asset context, detect conditions, coordinate AI agents, apply enterprise policy and execute approved actions through existing systems.

01Context
Understand the asset

Identity, state, ownership, location, relationships, lifecycle, maintenance, firmware, risk and history.

02Intelligence
Understand what changed

Correlate operational signals, enterprise records and knowledge into explainable asset conditions.

03Decision
Determine what should happen

Specialized agents evaluate context, risk, policies, previous outcomes and available enterprise actions.

04Execution
Act and verify

Route approval when needed, execute through governed tools and confirm the expected operational state.

How It Works

One governed operating loop from signal to verified outcome.

AgenticAssetOps connects operational context with the execution path required to resolve the condition.

01DiscoverConnect enterprise asset sources across IT, operations, equipment, devices and fleet systems.
02UnderstandNormalize identity, ownership, location, lifecycle state and operational status into one asset view.
03CorrelateBuild relationship context across telemetry, maintenance records, policies, documents and dependencies.
04DetectFind exceptions, drift, risk signals and operating conditions that require attention or action.
05RecommendDetermine the appropriate next action using asset context, risk, history and available enterprise workflows.
06ApproveApply human governance, permissions and policy checks before sensitive or high-impact actions proceed.
07ExecuteUse governed tools and connected systems to create work orders, update records or trigger approved actions.
08VerifyConfirm the desired operational state after execution and preserve the outcome for future decisions.
One Platform. Four Operating Environments.

Asset intelligence built around the way your industry actually operates.

Agentic Hardware AssetOps

Continuously understand hardware ownership, health, connectivity, lifecycle, warranty, configuration and compliance—then coordinate the actions required to keep enterprise hardware operational.

Asset discoveryCustody reconciliationHardware healthRemote operationsWarranty & RMAPatch managementSparesRefresh planning
Explore Hardware AssetOps →

Agentic Manufacturing AssetOps

Connect machines, equipment, telemetry, maintenance, spare parts and production impact so reliability decisions are made with full operational context.

OT asset intelligenceEquipment healthPreventive maintenanceCalibrationFirmware operationsProduction impactSpare partsWork orders
Explore Manufacturing AssetOps →

Agentic Healthcare AssetOps

Create operational intelligence around medical equipment across facilities, clinical engineering and healthcare IT—from availability and maintenance to recalls, calibration and cybersecurity posture.

Medical-device inventoryAvailabilityPreventive maintenanceCalibrationRecall intelligenceCybersecurity contextService contractsAudit readiness
Explore Healthcare AssetOps →

Agentic Robotics AssetOps

Operate robotic fleets as intelligent enterprise assets by connecting mission state, telemetry, firmware, batteries, components, maintenance, charging infrastructure and safety context.

Fleet intelligenceOTA orchestrationBattery healthComponent healthMission failuresCalibrationPredictive maintenanceSafety
Explore Robotics AssetOps →
Sub-page ready: Each industry card is designed to become a dedicated page with its own hero, context graph, industry-specific agents, flagship workflows, integrations and CTA.
The Context Advantage

An agent should never make an asset decision without understanding the asset.

Signal received
“Robot R-214 has outdated firmware.”
FleetWest Operations
SitePlant 03 · Line B
Current stateActive production
MaintenanceWindow starts 02:00
Recent history2 similar upgrades failed
PolicyStaged rollout required
ApproverSite Operations Manager
Asset
ContextGraph
Owner / Custodian
Location / Facility
Warranty / Contract
Software / Firmware
Maintenance Plan
Telemetry / Health
Incident / Recall
Approval / Action
Component
Work Order
Agentic Operating Model

Specialized agents. Shared enterprise context.

Compose agents around operational responsibilities while keeping context, permissions and governance consistent.

01

Asset Intelligence Agent

Understands assets, relationships, state changes and inconsistencies.

02

Reconciliation Agent

Finds mismatches between systems of record and operational reality.

03

Maintenance Agent

Coordinates preventive and corrective maintenance activities.

04

Patch & Firmware Agent

Evaluates eligibility, rollout risk and controlled deployment.

05

Compliance Agent

Evaluates posture against enterprise and industry requirements.

06

Lifecycle Agent

Coordinates acquisition, deployment, transfer, refresh and retirement.

07

Reliability Agent

Correlates telemetry, maintenance and historical failure context.

08

Work Order Agent

Creates, routes, tracks and validates operational work.

09

Verification Agent

Confirms the expected operational state after execution.

Governed Autonomy

Give agents authority without giving up control.

Autonomous
Low-impact, reversible actions

Metadata reconciliation, diagnostics, low-risk remediation and work-order generation can run automatically.

Approval
Operationally significant actions

Production firmware updates, medical-device changes, robot software changes and critical reboots can require human authorization.

Restricted
Explicitly prohibited autonomous execution

Define actions, asset classes, locations and environments where agents must never execute without a controlled process.

Policy-aware execution

Autonomy can be defined per asset, action, environment and risk level.

Governance travels with the workflow rather than being bolted onto automation after the fact.

IdentityEvery user and agent authenticated
PermissionsData, agent and tool scope controlled
ApprovalHuman checkpoints for sensitive actions
AuditRequest → decision → action → outcome
Verified Execution

Completion is a state. Not an API response.

Patch deployedConfirm installed version
✓ Verified state
Camera restartedConfirm feed restored
✓ Verified state
Robot updatedConfirm calibration & safety
✓ Verified state
Medical device servicedConfirm maintenance record & status
✓ Verified state
Asset transferredConfirm custody & source sync
✓ Verified state
Agentic BI

Ask operational questions. Get action-ready answers.

Move beyond dashboards built around yesterday's questions and interact directly with enterprise asset context.

Hardware

“Which remote devices have not checked in for 20+ days and still have critical patches pending?”

AnalysisPrioritized exceptionsRecommended action
Manufacturing

“Which machines create the highest maintenance risk for next week's production schedule?”

RiskProduction impactMaintenance plan
Healthcare

“Which infusion pumps need maintenance within 30 days and are assigned to high-utilization departments?”

AvailabilityPM dueWork queue
Robotics

“Which robots should be removed from tomorrow's schedule due to battery, firmware or maintenance risk?”

Fleet contextRisk reasoningWorkflow initiation
The AgenticAssetOps Platform

Context before decisions. Governance before action.

I · CONTEXT OS

Build enterprise context.

Continuously organize the data and knowledge required for asset operations.

  • Ingestion & synchronization
  • Schema & field mapping
  • Normalization & ontology
  • ContextGraph & temporal context
  • Graph + vector intelligence
  • Knowledge ingestion
  • Data quality & lineage
  • Context retrieval & memory
II · SKILL REGISTRY

Make expertise reusable.

Publish and manage reusable operating procedures as versioned skills.

  • Skill publishing & discovery
  • Skill metadata
  • Versioning
  • Installation & configuration
  • Reuse & composition
  • Skill lifecycle
III · AGENTIC OS

Turn context into action.

Run agents and workflows inside explicit enterprise execution boundaries.

  • AI agents & private assistants
  • Agent Gateway
  • Authentication & authorization
  • Data & agent permissions
  • Agentic workflows
  • Connectors & MCP Gateway
  • Tool execution & evaluators
  • Multi-agent & sandboxed execution
IV · AGENTIC BI

Make asset context explorable.

Ask natural-language questions across asset operations and move from insight into workflow.

  • Natural-language analytics
  • Context-aware analysis
  • Operational dashboards
  • Exception prioritization
  • Recommended actions
  • Workflow initiation
Distributed AI Architecture

Intelligence where the asset operates.

AgenticAssetOps is designed for enterprise environments where intelligence does not always belong in one centralized cloud. AI workloads can be distributed across on-device, edge, private-cloud and public-cloud environments based on data sensitivity, connectivity, latency, operational requirements and enterprise policy.

On-Device Intelligence

Bring intelligence closer to the user and the asset.

For supported Apple environments, AgenticAssetOps can leverage Apple Foundation Models through Apple's Foundation Models framework for selected local AI experiences such as summarization, classification, technician assistance and contextual workflows on compatible devices.

Local ProcessingLow LatencyIntermittent ConnectivityPrivacy-Conscious WorkflowsField Assistance
On-device intelligence complements—rather than replaces—the broader enterprise runtime. High-impact actions remain governed by AgenticAssetOps policies, permissions and approval controls.
EdgeSite-proximate intelligence

Run appropriate workloads closer to plants, facilities, equipment and operational systems where latency or connectivity matters.

Private CloudEnterprise-controlled AI

Deploy AgenticAssetOps within enterprise-controlled private-cloud infrastructure where networking, data and runtime boundaries stay under organizational control.

Public CloudCloud-native deployment

Deploy within customer AWS, Microsoft Azure or Google Cloud environments and integrate with approved enterprise data, infrastructure and AI services.

HybridOne governance model across distributed intelligence

Combine device, edge, private-cloud and cloud execution while maintaining shared context, permissions, approvals, auditability and verification.

On-DeviceSupported local AI experiences
EdgeSite and equipment-proximate workloads
Private CloudEnterprise-controlled deployment
AWSCustomer cloud environment
AzureCustomer cloud environment
Google CloudCustomer cloud environment
Enterprise Integration

Work with the ecosystem you already operate.

Your systems remain systems of record. AgenticAssetOps becomes the governed system of context, intelligence and action across them.

Enterprise IT

ITAM · CMDB · ITSM · MDM · Endpoint · Identity · HRMS · Procurement · ERP · Finance

Manufacturing

EAM · CMMS · MES · SCADA · Industrial IoT · Historians · PLC/OEM systems

Healthcare

Clinical engineering · Medical device management · IoMT · CMMS · Security · Procurement

Robotics

Robot fleet managers · OEM platforms · Telemetry · WMS/MES · IoT · Charging infrastructure

Hardware AssetOps

Make every hardware asset operationally intelligent.

Bring asset records, users, locations, diagnostics, endpoint posture, warranties, procurement and lifecycle activity into one continuously evolving context. Support discovery, reconciliation, remote operations, warranty intelligence, RMA, patching, health, refresh planning and retirement.

On-Device AI for Enterprise Apple Environments

For supported Apple devices, selected AssetOps experiences can leverage Apple Foundation Models for local summarization, classification, diagnostic interpretation and technician-assistance workflows closer to the endpoint.

Local processingTechnician assistanceDiagnostic summarizationIntermittent connectivity

Enterprise Runtime Flexibility

Use on-device intelligence where appropriate while keeping enterprise agents, context, permissions, workflow execution and verification coordinated through the broader AgenticAssetOps architecture.

Private CloudAWSAzureGoogle CloudOn-Premises
Manufacturing AssetOps

Give every production asset operational context.

Connect equipment health, telemetry, maintenance, production schedules, technicians and spare parts so reliability decisions can account for operational impact, maintenance windows, work-order history and plant constraints.

Healthcare AssetOps

Know where critical medical equipment is, what condition it is in and what needs attention next.

Create shared context for device availability, preventive maintenance, calibration, recalls, cybersecurity posture, service contracts, transfers, utilization and technician coordination across facilities.

Robotics AssetOps

Treat robots as intelligent enterprise assets.

Connect robots, missions, telemetry, firmware, batteries, components, maintenance, charging infrastructure and safety requirements so teams can manage fleet health, OTA, calibration, mission failures and reliability at scale.

Why AgenticAssetOps

Don't replace your systems of record. Make them operate as one system.

Your CMDB understands configuration. Your CMMS understands maintenance. Your MES understands production. Your MDM understands endpoints. Your fleet manager understands robots. AgenticAssetOps connects the context across them so agents can understand what happened, why it matters, what should happen next, who should approve it, which system should execute it and whether it actually worked.

From Asset Visibility to Asset Autonomy

Build an intelligent operating layer around every asset your enterprise depends on.

Hardware. Production equipment. Medical devices. Robotic fleets. One shared operational context. One governed agentic architecture.