IoT & Connected Devices · Operational automation

Field service & dispatch automation

Sensor alarm or customer report → the right technician, the right part, the right time.

In short

Field service & dispatch automation is an Aginies solution package for the IoT & Connected Devices sector in the “operational automation” area. What the agents do: The signal is validated and prioritised: sensor series, device history and known issues read together; task card, parts list and tooling are derived from technical publications and stock. Expected outcomes: signal to service order in minutes, with no manual entry; first-visit fix with the right part and the right task card; customer and quality records current at the same time. The package uses the Event ingestion, Time-series tools, Multi-source RAG, REST / MCP tools capabilities of the Aginies platform and can be watched live through the Control tower: delay prediction, rerouting, customer notice, SLA, Cold-chain excursion response, Maintenance ticket triage, Platform maintenance (MRO) work order preparation scenarios in the agent library.

The problem

Fault and excursion signals exist, but service orders, parts reservation, technician assignment and customer notices are done by hand on separate screens. A critical event waits in the same queue as routine requests.

What the agents do
  1. 01The signal is validated and prioritised: sensor series, device history and known issues read together.
  2. 02Task card, parts list and tooling are derived from technical publications and stock.
  3. 03The nearest qualified technician is assigned, the service order opened, the customer told the ETA.
  4. 04Decisions such as airworthiness, product disposal or high cost route to the responsible manager.
Package scope
  • Diagnosis of fault and service requests; remote fix or field dispatch
  • Technician, part and route planning; customer appointment
  • Work order, procedure and part card to the field team
  • Customer updates and closure verification
What you need to start
  • API access to the field service management (FSM) system
  • Device and asset records, part inventory
  • Technician skill and territory definitions
Architecture

Derived from the linked scenarios: the supervisors, specialist agents, models and systems that run this package.

Supervisors
Control Tower SupervisorCold-Chain SupervisorMaintenance Supervisor
Specialist agents
Prediction AgentRouting AgentCustomer AgentFinance AgentSensor AgentQuality AgentField AgentSignal AgentField Note AgentDiagnosis AgentPlanning AgentFault AgentTech Pub AgentParts Agent
Models (Hub catalogue)
aginies-tulpar-4aginies-talay-2aginies-sunkar-1aginies-voice-tr-v3
Systems touched
TMSTelematicsCarrier APICustomer PortalERP BillingIoT PlatformWMS / Lot TrackingStability Rules (vector)Field ServiceWhatsApp Business APISCADA / HistorianCMMS (Maximo)SAP S/4HANA MMManuals & Work Order Vector StoreMaintenance Management SystemTechnical Publications (S1000D vector)Spares InventoryTechnician App
Channels
apiemailwhatsappappvoicebatch
Simulation volumes
106,200runs / month
93.6%success rate
7.1 smedian duration
$0.0031estimated cost / run

Summed from the simulation definitions of the linked scenarios; recalculated for your scale in the discovery session.

Outcomes
  • Signal to service order in minutes, with no manual entry
  • First-visit fix with the right part and the right task card
  • Customer and quality records current at the same time
Capabilities used
Event ingestionTime-series toolsMulti-source RAGREST / MCP toolsHuman-in-the-loopFull I/O logging
Explore the platform →
Measured targets
Requests resolved remotely30–45%
First-visit fix rate+15 points
Jobs per technician per day+20%

Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.

Governance and approval rules

Scenario-level approval rules plus the package’s general controls.

  • Control tower: delay prediction, rerouting, customer notice, SLARoute cost increase > 15% or compensation > 10,000 → operations manager approval
  • Cold-chain excursion responseProduct transfer or disposal decision → quality manager approval
  • Maintenance ticket triagePlanned stop > 4 hours → shift supervisor approval
  • Platform maintenance (MRO) work order preparationEvery work package affecting airworthiness → maintenance planner approval
  • packageOut-of-warranty replacement and costly parts under human approval
  • packageRemote commands limited to the device owner’s consent scope
Rollout
  1. 1 · Process map · 2 weeksSignal sources, decision points and work-order systems mapped; the automatic-decision boundary and approval chain defined.
  2. 2 · Pilot · 4 weeksOne line, one region or one process; the agent prepares the recommendation, a person applies it; deviation and gain measured.
  3. 3 · Autonomous operationDecisions below the threshold run automatically, above it go to approval; shift reports and SLA dashboards live.

Time to move from experimenting with AI to transforming with it.

In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.

Book a 30-minute discovery session → dahi@aginies.com
  1. Your 2–3 priority problems
  2. Live demo of a similar scenario
  3. Roadmap starting with value analysis