Transportation AI agent · Maintenance

Fleet-Maintenance Planner AI Agent

Schedule maintenance from condition signals and your own intervals, report the precision and lead time behind each alert, and leave certifying, releasing and clearing to a qualified inspector.

Typical delivery
4–6 weeks
Deployment
Your stack
Inspector signs
Pre-inspection
After launch
Agent Care

What this agent does

Schedules the work, never certifies it

In

  1. 01

    Ingest condition signals, fault codes, DVIR entries and service intervals from supported maintenance sources.

  2. 02

    Normalise unit, component and fault fields, and carry each reading forward with the source it came from.

Reason

  1. 03

    Rank units against your own intervals and the open defects already reported on them.

  2. 04

    Raise an alert with the precision it has on your data and the lead time it bought, per component.

  3. 05

    Say when a signal is thin, because a rarer failure gives the same model a worse precision.

Decide

  1. 06

    Hold the periodic inspection on its own schedule — a prediction adds work, it never subtracts it.

  2. 07

    Route the job to the shop, and every certifying act to a qualified inspector.

Out

  1. 08

    Retain the signal, the interval, the decision taken and the decision not taken, against the unit.

  2. 09

    Execute write actions only inside the approval boundaries agreed during implementation.

Product statement

The planner schedules; a qualified inspector under 49 CFR 396.19 signs, and the carrier keeps the systematic duty under 396.3.

Example workflow

One unit, signal to shop

  1. 1Condition signal receivedTelematics feed, fault code, DVIR entry or service record
  2. 2History and intervals gatheredUnit history, service intervals, open DVIR defects and component signals, each with its source
  3. 3Work proposedJob, priority, alert precision and lead time
  4. 4Controls appliedInterval checks, open-defect holds, out-of-service holds and confidence threshold

No human action required

Stages 1 to 4 run unaided and certify nothing — scheduling is not signing, and the inspector's lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to the shop to schedule.

Low confidence

Adds a planner's read first.

Inspector signature

The job is held with its signal, the interval behind it and the confidence.

Schedule · Adjust · Send to the shop

Signed — released by a person

  1. 6Maintenance systems updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedAlerts raised, no-defect-found visits, lead time gained and what the shop actually found

Adjustments

Every shop adjustment is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Certifying a repair or a periodic inspection.
    • Releasing a unit back into service after repair.
    • Clearing or closing a defect reported on a DVIR.
    • Lifting an out-of-service marking from a unit.
  • Automation boundary

    Agent acts unaided

    • ✓Rank units against your own intervals and their signals.
    • ✓Report the alert precision and lead time on your own data for the named owner.
    • ✓Book the work into the shop diary and the unit's file.
    • ✓Block dispatch on an open defect and hold the unit for the shop.

    Any write happens inside the boundaries agreed at implementation, never ahead of approval.

    • Deferring a periodic inspection on a prediction.
    • Judging whether a brake inspector is qualified.
    • Deciding a unit is roadworthy for the next run.
  • Changes to the interval set or alert thresholds.

Example output

One unit, annotated

Everything the planner proposes is attached to the signal it was raised from.

Maintenance output · single unit

Illustrative example
Unit
Day-cab tractor
Proposed job
Air-pressure trend outside the configured band
Lead time
9 days of lead
Signal source
Telematics air-system channel
Confidence
86%
Who signs
A qualified inspector under 396.19

As received

Taken from the telematics channel and the unit's service file — nothing on this side is predicted by the agent.

Signals used

  • Air-system channel trend
  • Prior work on this unit
  • Open DVIR entries

Why it was raised

It is an inspection to book, not a fault found — the shop decides what is there.

What the score decides

Below the configured threshold the job picks up a planner's read before the shop sees it.

Action

ScheduleAdjustSend to the shop

Value

Where AI adds value

The same four claims, placed at the point in the workflow where each one applies.

Where the value lands

Value 01 – 04

Every unit

From telematics and the service file

03Scheduling

Schedule against your intervals

Draw on your own service intervals, the unit's history and the condition signals you already collect.

01Approved path

Schedule it, do not certify it

Routine interval work and inspection due-dates arrive already booked.

02Human review

Hand the rest to the shop

Thin signals, open defects and low-confidence jobs are marked, so the shop's read starts where risk concentrates.

04

Build an evidence trail

The condition signal, the interval behind it and the mechanic who signed it stay on the unit.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • Maintenance systems

    • TMT Fleet
    • Dossier
    • Fleetio
    • Whip Around
  • Telematics and diagnostics

    • Samsara
    • Motive
    • Geotab
    • Noregon
  • Parts and shop

    • Parts catalogues
    • vendors
    • Shop diaries
    • work orders

Agent

Fleet-maintenance planning

  • Reads the signal
  • Schedules the work
  • Holds for the inspector
  • Dispatch and inspection

    • TMS
    • dispatch boards
    • DVIR
    • inspection records
  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

Integration availability depends on the client's existing systems and API access.

Agent controls

Six layers between the model and the unit

Each control encloses the last. Whatever slips past all of them is named below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeCut back to interval scheduling when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, interval-rule and threshold configuration changes.Track
L4TraceabilityRecord the signal, the interval, the job and who signed it off.Record
L3Inspector signatureHold every certifying act for a qualified inspector; it governs who signs, not what the unit is.Gate
L2Interval guardrailsTest each job against your intervals and the open-defect holds; a failure returns it unscheduled.Restrict
L1Confidence thresholdsRoute low-confidence jobs to a planner's read before the shop sees them.Require review
Model coreJob proposed — the component, the priority, the alert precision and the lead time
L1 – L2
Test whether a job may stand
L3
Puts the signature in an inspector's hands
L4 – L5
Keep the signal and the interval behind it
L6
Cuts back to interval scheduling when signals degrade

How Nestack evaluates it

Evaluate the whole planning workflow — not only the alert at the end.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — the job the shop receives

  1. E1Final-output evaluationDid the shop find what the alert said was there?
  2. E2Step-level evaluationDid the planner use the right intervals, history and signal channels?
  3. E3Tool evaluationDid it read the correct unit and write the correct work order?
  4. E4Confidence calibrationDo low-confidence jobs actually end in no defect found?
  5. E5Slice evaluationHow does precision change across specific component families?
  6. E6Business outcomeHow many alerts were dismissed, and how much lead time did the rest buy?

Floor — the unit that has to pass inspection

Failure modes

Where each failure originates in the agent

Seven ways a schedule goes wrong, at its own stage.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • AM-03

      Stale service record

      The interval is read from a record the shop has since updated.

    Stage gathers

    Unit history, intervals, open defects and signals

  2. 02 · Reasoning

    2 modes

    • AM-04

      Alert without precision

      A component is flagged with no precision behind the flag.

    • AM-06

      Interval quietly deferred

      A periodic inspection slips because a model called it healthy.

    Stage proposes

    The component, the priority and the lead time

  3. 03 · Tool / write

    2 modes

    • AM-02

      Job released without a person

      A write books or closes work before anyone has signed.

    • AM-05

      Repeat alert on one unit

      The same signal raises a job the shop already dismissed.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • AM-01

      Open defect not held

      An open DVIR defect does not stop the unit being scheduled out.

    Stage returns

    The job the shop reads and the unit it books

  5. 05 · Change / Version

    1 mode

    • AM-07

      Silent threshold regression

      A model or rule change quietly widens what raises an alert.

    Stage tracks

    Model, prompt, interval rules and thresholds

  • Sev-1 · a unit is released without a signature
  • Sev-2 · a required inspection is missed
  • Sev-3 · a signal degrades, job routes to review
See the complete Transportation failure-mode catalogue

Affected slices

One pooled precision hides the rarer component

Precision moves with the base rate, not only with the model, so a family whose failures are rarer returns more no-defect-found visits from the same alert engine. Nestack reports that rate by component family, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Aftertreatment and DPF signals7.1%3.3×Review
Air-system and brake wear6.2%2.9×Review
Battery and charging signals4.3%2.0×Watch
Air-pressure (APS) signals1.9%0.9×Normal

Bar: no-defect-found-rate lift vs. air-pressure-signal baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

Close it with a case, not a theory

The cycle does not end in a post-mortem. It ends in a case the next release has to clear, and that suite is what the next unit scheduled is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    No-defect-found rate rises in a component family.

  2. 02

    Diagnose

    Read the alerts against what the shop actually found, until one cause holds.

  3. 03

    Improve

    Each change carries a version and the units that forced it.

  4. 04

    Verify

    Release waits on the affected cases going green again.

  5. 05

    Learn

    The case is kept for good, and the maintenance programme is rewritten.

  6. Learn → Detect

    The return edge. The next detection runs against a suite one case longer.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, sources, planning workflow, evaluation, integration, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Maintenance workflow discovery and boundary definition.Week 1
  2. 02Telematics and shop-system assessment.Week 1, Week 2
  3. 03Service interval, defect-hold and threshold mapping.Week 1, Week 2
  4. 04Signal and service-record ingestion.Week 2
  5. 05Scheduling logic and interval binding.Week 2, Week 3
  6. 06Confidence scoring and defect routing.Week 3
  7. 07Inspector signature workflow.Week 3, Week 4
  8. 08Maintenance and shop-system integration.Week 5
  9. 09Defect and interval cases.Week 4, Week 5
  10. 10Guardrails and out-of-service controls.Week 4
  11. 11Unit-trail instrumentation.Week 5, Week 6
  12. 12Deployment, documentation and Agent Care handover.Week 6

12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel

Final scope and sequence confirmed in discovery

Engagement tiers

What each tier includes

Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.

Capability✓ in scope · — not at this tierPilotOne terminal, one unit classProductionProduction maintenance systemsAdvancedMultiple terminals / classes
Introduced at Pilot
Scheduling to your own intervals✓✓✓
Inspector signature✓✓✓
Schedule-quality baseline✓✓✓
Introduced at Production
Reporting by unit class—✓✓
Signature workflow in your systems—✓✓
Approved write-back—✓✓
Maintenance-system integration—✓✓
Introduced at Advanced
Multi-class interval sets——✓
Multi-stage shop approvals——✓
High unit volume——✓
Multi-terminal fleet controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, transaction volume, approval controls and deployment requirements.
Separate from build
Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.

What we need from you

What you bring, and what we build with it

Each input maps to a piece of build scope and a week in the delivery timeline.

  1. 01Your service intervals and unit classes

    Signal and service-record ingestion and interval mapping

    Week 1
  2. 02Representative historical work orders

    Scheduling baseline, interval binding and per-component precision

    Week 2
  3. 03Your defect holds and alert thresholds

    Service interval, defect-hold and threshold mapping

    Week 1
  4. 04Access to relevant APIs, feeds or exports

    Telematics and shop-system assessment, then integration setup

    Week 2
  5. 05Units you would not want released

    Defect cases and failure-mode testing

    Week 4
  6. 06What must reach a qualified inspector before a unit rolls

    Confidence scoring, defect routing, guardrails and out-of-service controls

    Week 3
  7. 07Named qualified inspectors to sign

    Inspector signature workflow, then pilot and production validation

    Weeks 5–6

Nothing else is required

Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

The bands sit on the weeks the work occupies, which is why the fifth carries two kinds at once.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Maintenance workflow discovery, interval mapping and the boundary

W2Telematics and shop-system integration and the scheduling baseline

W3Planning workflow, confidence logic and signature controls

W4Evaluation suite, defect cases and failure-mode testing

W5Shop-system integration, a pilot unit class and targeted corrections

W6One maintenance cycle planned under the shop, then Agent Care handover

Reading the band
Each bar covers only the weeks its work is named in. The week 5 overlap is real, not padding.
At the end of W6
The cycle closes the validation and Agent Care takes over monitoring.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Transportation AI agent

Build a maintenance planner that schedules and leaves the signature alone.

Show us your intervals, your signals and your shop. Then answer one question: when a model calls a unit healthy, who signs that the inspection can wait? We set the boundary around that answer.

Typical delivery
4–6 weeks
Deployment
Your maintenance stack
Inspector signs
Pre-inspection
After launch
Agent Care available

Nestack Agents · Fleet maintenance

AGT-TR-05 · Agent Care available after launch

Build a maintenance planner

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your fleet

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.