Features

AI Agents that Run Logistics and Field Operations

The AI workforce for logistics and field operations

Finmile AI Agents plan, dispatch, monitor, resolve and prove - across deliveries and field jobs - autonomously, in real time.

finmile - agent activity
Planning AgentTraffic building on the A40 - re-optimising 3 routes… done, 11 min saved.
Live Operations AgentFailed-delivery risk at stop 22 - resequenced ahead of the school-run window. SLA protected.
Customer Agent18 customers notified of updated ETAs. Address query at stop 9 resolved by reply. 0 support calls.
Live Operations AgentPOD photo at stop 14 verified - geotag + timestamp match. approved.

What Are Finmile AI Agents?

Finmile AI Agents act as an autonomous operations team inside your logistics network - eight agents that continuously monitor, decide, and execute across the whole delivery day: planning, dispatch, fleet readiness, live operations, customer communication, proof, claims and finance. Each agent has a defined role, just like a high performance operations team.

Planning Agent

The Planning Agent constantly evaluates whether a route plan is still optimal. If demand shifts, stops are delayed, or constraints change, it triggers the optimiser automatically. No waiting for a dispatcher to notice the issue. No manual rebuilds. The system adapts in real time.

Dispatch Agent

The Dispatch Agent assigns the right driver or engineer to every job and confirms the time windows customers were promised. It balances workloads across the fleet, and when the day changes - a sick driver, a late linehaul - it reassigns work automatically so the plan keeps moving.

Fleet Agent

The Fleet Agent makes sure vehicles are ready before routes begin. Checks, compliance and readiness are confirmed up front, and issues are flagged before they cost a route - so a failed vehicle becomes a swap at the depot, not a day of missed deliveries.

Live Operations Agent

The Live Operations Agent monitors SLA risk at parcel level. If a delivery is likely to miss its window, the agent proposes and executes interventions such as re sequencing stops, moving a stop to another route, or reallocating capacity. Instead of reacting after failure, you prevent it.

Customer Agent

The Customer Agent handles proactive communication. If a delay occurs, customers are informed automatically. If an address is incorrect, the system resolves it using data intelligence before the driver arrives. This reduces WISMO volume and protects NPS without expanding support teams.

Proof Agent

The Proof Agent captures and verifies evidence at every job - photo, GPS location, timestamp and signature where required. Each delivery, collection or service call closes with a complete, defensible record, automatically checked rather than left to chance.

Claims Agent

The Claims Agent assembles the evidence pack the moment a job completes and scores the claim risk on every delivery. When a dispute does arrive, the proof is already organised - so claims that used to take weeks of back-and-forth resolve in minutes.

Finance Agent

The Finance Agent validates billing events against real delivery telemetry. Proof of delivery, timestamps, route data, and SLA compliance are cross checked automatically. This eliminates revenue leakage, reduces disputes, and ensures every completed delivery is accurately captured and billed.

Confidence Scoring With Human Oversight

Automation without control creates risk. That is why every action taken by a Finmile AI Agent is governed by confidence scoring.

01
1

Low Confidence

Decisions are routed to human review.

2

Medium Confidence

Decisions trigger evaluation checkpoints.

3

High Confidence

Decisions execute automatically.

Not Just Dashboards

From Visibility To Autonomous Execution

Most logistics platforms provide dashboards. Finmile provides autonomous execution. Our AI Agents sit on top of the Finmile Core Engine and Adaptive Control Layer, continuously learning from parcel level data.

Every action improves future decision making. Every intervention strengthens the model. The result is not just optimisation. It is a self improving logistics network.

What This Means For Operators

Fewer manual interventions

Lower SLA breaches

Reduced support load

Faster dispute resolution

Higher route efficiency

Stronger margins

The Future Of Logistics Operations

Logistics is moving from human managed workflows to AI managed systems with human supervision. The companies that adopt autonomous operations will scale faster, operate leaner, and respond to volatility in real time.

Finmile AI Agents are not a feature. They are the operating model for modern delivery networks.

If you want your logistics network to think, react, and execute like a high performance team without increasing headcount, this is how you do it.

FAQs

AI Agents FAQs

How Finmile uses AI across planning, live operations and customer communication.

How does Finmile use AI?

Finmile uses AI to optimise routes, predict delays, identify delivery risk, improve ETA accuracy, support proof of delivery validation, detect operational patterns and recommend better ways to allocate work across the whole delivery lifecycle.

Does Finmile replace dispatchers or operations teams?

No. Finmile's AI supports planners, dispatchers and operators. It automates repetitive work and surfaces risks, but human oversight stays in control of customers, drivers and real-world constraints.

What kinds of decisions can Finmile's AI help with?

It helps optimise route structures, predict which deliveries are at risk, recommend how to reallocate work when the day changes, improve ETA accuracy and validate proof of delivery, so operators make faster, better-informed decisions.

Can AI help resolve delivery exceptions?

Yes. Finmile can detect exceptions such as late drivers, failed attempts and address problems earlier, then recommend the next action so teams resolve issues before they become service failures.

How does AI improve ETA accuracy?

Finmile combines the route plan, live driver progress, stop sequencing, traffic conditions and operational history to produce more accurate ETAs, which reduces WISMO queries and missed deliveries.

Can Finmile predict delays before they happen?

Yes. By reading live progress against the plan, Finmile can flag delivery risk during the day, letting dispatchers act proactively instead of waiting for a customer complaint.

Is Finmile's AI safe to trust with live operations?

Finmile is designed for human-in-the-loop operations: the AI recommends and surfaces risk, while operators approve and stay accountable, with structured data and audit trails behind decisions.

Run the operation, not just the route.

Across industries, Finmile gives logistics and field operations teams one AI powered platform for planning, dispatch, execution, proof and performance control.