Agents that act,coordinate and report.Under your control.
Software agents that watch, decide and act across devices, systems and sites, orchestrated, observable and sovereign by design.
Why agentic AI matters now
Models can now plan and execute multi-step tasks. The challenge is running thousands of agents reliably across devices, sites and clouds, operations, not intelligence.
From chat to action
Agents complete tasks, raise orders, reroute fleets, adjust setpoints.
Scale is the problem
Discovering, securing and observing agents across a fleet needs a runtime.
Connectivity drops
Sites, roads and ports lose signal; agents must keep working offline.
Sovereign execution
Decisions and data must stay inside defined jurisdictional boundaries.
The answer: agents on an operating engine you can observe and govern, from one device to a national fleet.
Sources: SDAIA 2026; MIM National Industrial Strategy; Future Factories Program; GACA 2025; Saudi Aviation Strategy; Matarat Holding
Agentic AI, run like infrastructure
A device-first runtime where agents discover each other, collaborate as a mesh and act locally, with zero-trust identity on every request.
Task & decision agents
Agents that monitor, decide and execute within policy, on cameras, vehicles and gateways.
Multi-agent coordination
Agents share state and negotiate, a convoy, a plant floor, a terminal.
Observability & control
Every agent run is logged, replayable and subject to human override.
Building blocks of an agentic programme
Six components, the runtime and identity layer are reused by every agent you deploy.
Agent runtime
Lightweight engine on phones, cameras, gateways, vehicles and servers.
Discovery & mesh
Agents find and collaborate with each other with or without a network.
Agent identity
Each agent linked to a person or role; per-request authorisation.
Planning & tools
LLM planning with tool calls into your systems, bounded by policy.
Run observability
Traces, decisions and outcomes logged for audit and improvement.
Lifecycle ops
Deploy, update, roll back and retire agents fleet-wide.
How it works: from an event to a coordinated action
A six-stage loop executed locally first, synchronised when the link allows.
Sense
Camera, sensor, message or record
Reason
Plan steps within policy
Coordinate
Negotiate with peer agents
Act
Call tools and systems
Log
Trace every decision
Sync
Reconcile when connected
Where agents earn their keep
Eight use cases where acting locally and coordinating beats a central round-trip.
Camera agents
A street camera flags a stalled vehicle and alerts traffic control itself.
Convoy coordination
Vehicles keep coordinating peer to peer through dead zones, then sync.
Site safety mesh
Worker, zone and asset agents raise alarms offshore or underground.
Asset guardian
A gateway agent flags a pump vibrating abnormally before failure.
Service-desk agent
Triage, enrichment and routing of tickets with human sign-off.
Dispatch agent
Re-plans routes as demand, traffic and vehicle health change.
Energy agent
Shifts loads and setpoints within limits set by engineers.
Compliance agent
Collects evidence and drafts reports for every audit cycle.
Where it creates value across Saudi sectors
Agents change the economics where latency, connectivity and scale make central control slow.
Industry & factories
Plants that keep running through outages; agents on gateways watch assets.
Airports
Terminal agents coordinate gates, queues and guidance in real time.
Hajj & crowd mobility
Crowd, bus and field-device agents share state across the Mashaer.
Fleet & logistics
Fleet agents coordinate peer to peer and cut cloud traffic.
Utilities & energy
Grid and water agents act locally during outages and sync later.
Retail & FMCG
Store and cooler agents trigger replenishment from live stock.
Start with one workflow on assets you already own, then reuse the template across sites.
An hour with agents on the road
Illustrative sequence from a connected convoy entering a tunnel.
signal lost
The convoy enters a dead zone; vehicle agents keep sharing position and spacing peer to peer.
hazard ahead
The lead agent detects debris; following agents slow and re-space within policy.
link restored
Agents sync events to the fleet platform; the control room sees the full timeline.
report
An incident summary with evidence is filed automatically for review.
Agents act within limits engineers set, every decision is logged and reversible.
Illustrative scenario, not a case study.
Where this technology goes to work
Let us deploy the firstagent on your assets.Know now.
A 45-minute walkthrough of your operation, and the one workflow worth proving first.