Agents that reduce signals from thousands of devices to one incident and one decision: anomalies, OTA, cold chain.
Connected device fleets produce large volumes of data; the burden of deciding still sits with the teams. Anomaly alarms reach teams unclustered, firmware rollouts are postponed out of fear, and nobody knows who does what in a sensor excursion. Aginies turns signal into incident and incident into decision with agents connected to the IoT platform, time-series database, device management and field service; bulk device commands and critical segments always pass human approval.
In IoT & Connected Devices, Aginies offers 4 live agent scenarios and 3 solution packages: Field device support assistant: telemetry, remote diagnosis, OTA and technician, Device fleet anomaly triage, Staged OTA update rollout, Cold-chain excursion response, Maintenance ticket triage, Outage report handling; solutions: Operational automation & demand management, Field service & dispatch automation, IoT device fleet operations. The blockers on the way to production are Alarm noise, Risky OTA rollouts, Sensor-to-action gap, Data volume; on the compliance side 3 requirements (including Human approval on bulk device commands and critical fleet segments) are part of the deployment.
Alarm noise
Hundreds of alarms from one root cause; the team misses the real incident.
Risky OTA rollouts
Whole-fleet updates in one go; no rollback plan.
Sensor-to-action gap
The breach is seen, but service order, customer notice and quality decision are done separately by hand.
Data volume
Telemetry volume explodes cloud model cost; small on-prem models are needed.
Three starting points; each measurable in a short pilot on existing systems.
- 01agent scenarioField device support assistant: telemetry, remote diagnosis, OTA and technician →
Faults fixed remotely cut field cost directly; a short pilot with the device cloud connected.
- 02agent scenarioDevice fleet anomaly triage →
Alarm noise wears teams down; clustering is visible in the first week.
- 03agent scenarioStaged OTA update rollout →
Staged OTA is the most feared process; it earns trust with stop and rollback criteria.
Agents you can watch live for this sector
Field device support assistant: telemetry, remote diagnosis, OTA and technician
The customer says "the device is dead"; telemetry read, remote diagnosis made, update pushed, technician dispatched with the right part if needed.
Device fleet anomaly triage
Telemetry anomalies from thousands of devices are clustered, root-cause candidates listed, one incident reaches the right team.
Staged OTA update rollout
Firmware rolls out in 1% → 10% → 100% stages; a health gate at every stage, human approval for critical fleets.
Cold-chain excursion response
A temperature excursion is assessed instantly, product risk computed, a field crew dispatched, the quality decision recorded.
Maintenance ticket triage
Sensor alarm and technician voice note become one work order, spare parts and a safe stop window included.
Outage report handling
Reports are clustered by feeder, one OSS ticket is raised and everyone affected hears before the crew leaves.
Derived from the 4 scenarios in the sector: supervisors, specialist agents, Hub model families and systems touched.
Summed from the simulation definitions of the sector scenarios; recalculated for your scale in the discovery session.
- Human approval on bulk device commands and critical fleet segments
- Automatic rollback when a health gate fails; every stage recorded
- Telemetry stays inside; low cost with small on-prem models
- Personal-data law and device data: telemetry inside the organisation, user data purpose-limited
- Product safety and cyber-resilience requirements (incl. EU CRA for exporters): OTA packages signed, rollout recorded, rollback ready
- Safety-critical devices: read-only; commands and bulk operations under product-owner approval
Hybrid: device cloud and time-series data on the existing infrastructure, agents and small models in our data centre in Türkiye or the manufacturer’s own.
Approval rulesHuman-approval thresholds of the sector scenarios.
- Field device support assistant: telemetry, remote diagnosis, OTA and technicianBulk OTA (>100 devices) or out-of-warranty device replacement → product-owner approval
- Device fleet anomaly triageBulk device command > 100 devices → fleet operations lead approval
- Staged OTA update rolloutRollout to a critical fleet segment → product owner approval; automatic rollback if a health gate fails
- Cold-chain excursion responseProduct transfer or disposal decision → quality manager approval
| Faults needing a field visit | 35% fewer |
| Alarm-to-incident noise | 80% less |
| OTA rollback rate | under 1% |
Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.
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.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis