Transportation AI agent · Driver support

Driver-Support Copilot AI Agent

Answer the questions drivers actually ask from your own written policies, stop the moment a driver cites hours, fatigue or a defect, and hand that exchange to a named person.

Typical delivery
4–6 weeks
Deployment
Your stack
Person takes it
Never presses
After launch
Agent Care

What this agent does

Answers the question, and stops where it must

In

  1. 01

    When a driver asks, the copilot reads your policies, the recorded clock and the load from supported fleet systems.

  2. 02

    When a policy is quoted, the reply carries the document and the section it was read from.

Reason

  1. 03

    Where the recorded clock is the answer, it is shown as recorded — not as permission to drive.

  2. 04

    When hours remain but fatigue is raised, the copilot says the clock is not a fitness judgement (49 CFR 392.3).

  3. 05

    Where a driver cites hours, fatigue, illness or a defect, the exchange stops and routes to a person.

Decide

  1. 06

    When a request has already been refused, it is never put a second way, reframed or re-costed.

  2. 07

    Where pay, ranking, priority or standing would answer, that output is blocked instead (49 CFR 390.6).

Out

  1. 08

    When the vehicle is moving, the copilot will not press for a reply (49 CFR 392.80, 392.82).

  2. 09

    Where a write is needed, it happens only inside the approval boundaries agreed during implementation.

Product statement

The copilot answers; a named manager takes whatever it stops on, and the driver's own judgement under 49 CFR 392.3 stays the last word.

Example workflow

One question, driver to manager

  1. 1Driver question receivedIn-cab app, phone, message thread or driver portal
  2. 2Policy and record gatheredYour written policies, the recorded duty status, the load and the unit's open defects, each with its source
  3. 3Answer draftedAnswer, the policy cited and confidence
  4. 4Controls appliedCoercion-gate checks, consequence-language blocks, duty-status gate and confidence threshold

No human action required

Stages 1 to 4 run unaided and press nobody — a refusal ends the exchange where it was made, and the manager's lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Answers the driver from the policy.

Low confidence

Adds a manager's read first.

Manager hand-off

The exchange is held with the driver's words, the policy read and the confidence.

Acknowledge · Answer · Send to manager

Taken — handed to a person

  1. 6Fleet systems updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedStops taken, blocked consequence language, manager hand-offs and what the driver did next

Hand-offs

Every manager hand-off is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Telling a driver they are fit or safe to drive.
    • Editing, certifying or resubmitting the hours record.
    • Re-asking after a driver has refused to drive.
    • Raising pay, ranking or standing in an hours exchange.
  • Automation boundary

    Agent acts unaided

    • ✓Answer routine questions from your own written policies for the named owner.
    • ✓Show the recorded clock, and the section it came from.
    • ✓Stop the exchange when a driver cites hours or fatigue.
    • ✓Log the driver's words and the copilot's reply verbatim into the review queue.

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

    • Clearing a reported defect or releasing the unit.
    • Giving a driver legal, medical or compliance advice.
    • Deciding whether a driver should be disciplined.
  • Changes to the escalation rules or the stop gates.

Example output

One exchange, annotated

Everything the copilot says is attached to the policy it was read from.

Driver-support output · single exchange

Illustrative example
Driver
Regional line-haul
What was asked
“I am out of hours for that delivery window”
Recorded clock
1h 40m on the 14
Policy read
Fatigue and hours policy
Confidence
91%
What happened next
Stopped, handed to a manager

As received

Taken from the driver's own words and the recorded duty status — nothing on this side is inferred by the copilot.

What was read

  • Your fatigue policy
  • The recorded duty status
  • The unit's open defects

Why it stopped

The driver cited hours — under 49 CFR 390.6 the next sentence is the carrier's.

What the score decides

Below the configured threshold the exchange picks up a manager's read before.

Action

AcknowledgeAnswerSend to manager

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 driver question

From the cab or the app

03Answering

Answer from your policy

Draw on your own written policies, the recorded duty status and the load record for this driver.

01Approved path

Answer without pressing

Routine policy and paperwork questions come back already answered.

02Human review

Send the rest to a person

Stops, blocked outputs and low-confidence answers are marked, so the manager's read starts where risk concentrates.

04

Build an evidence trail

The question, the policy it was answered from and the manager who took it stay on the record.

Integrations

Typical integrations

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

  • Fleet and hours systems

    • Samsara
    • Motive
    • Omnitracs
    • Platform Science
  • Dispatch and TMS

    • McLeod
    • Trimble
    • MercuryGate
    • Revenova
  • Driver channels

    • In-cab app
    • messaging
    • Driver portal
    • phone

Agent

Driver-support assistance

  • Reads the policy
  • Answers the driver
  • Stops and escalates
  • People and settlement

    • HR systems
    • payroll
    • Safety and compliance
  • 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 driver

Every layer wraps the next. What none of them catches is in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeFall back to signposting when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, stop-gate and policy-source configuration changes.Track
L4TraceabilityRecord the driver's words, the copilot's reply and the hand-off time.Record
L3Manager hand-offHand the exchange to a named manager; it governs who speaks next, not what the driver decides.Gate
L2Coercion gatesTest each reply against the 390.6 stop rules and the consequence-language block; a failure returns it.Restrict
L1Confidence thresholdsRoute low-confidence answers to a manager's read before the driver sees them.Require review
Model coreAnswer drafted — the reply, the policy cited, the stop result and confidence
L1 – L2
Test whether a reply may stand
L3
Puts the next word in a manager's hands
L4 – L5
Hold the answer and the policy behind it
L6
Falls back to signposting when signals degrade

How Nestack evaluates it

Evaluate the whole exchange — not only the sentence that answered.

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

Surface — the reply the driver reads

  1. E1Final-output evaluationDid the reply match the policy section it cited?
  2. E2Step-level evaluationDid the copilot read the right policy, clock and load for this driver?
  3. E3Tool evaluationDid it read the correct driver and write the correct record?
  4. E4Confidence calibrationDo low-confidence replies actually attract more manager hand-offs?
  5. E5Slice evaluationHow does performance change across specific question types?
  6. E6Business outcomeHow many exchanges should have stopped, and how many of them did?

Floor — the driver who has to decide

Failure modes

Where each failure originates in the agent

Seven ways an exchange goes wrong, by stage.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • AI-03

      Superseded policy read

      The reply is drawn from a policy version no longer in force.

    Stage gathers

    Policies, duty status, load record and open defects

  2. 02 · Reasoning

    2 modes

    • AI-04

      Clock read as permission

      A legal clock is treated as a judgement about fitness.

    • AI-06

      Consequence in the reply

      Pay, ranking or standing surfaces in an hours exchange.

    Stage proposes

    The reply, the policy cited and confidence

  3. 03 · Tool / write

    2 modes

    • AI-02

      Reply sent without a person

      A write answers the driver before a manager has taken it.

    • AI-05

      Refused request, put again

      The same request comes back put a second way.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • AI-01

      Answer without its policy

      A reply is returned with no policy or section behind it.

    Stage returns

    The reply the driver reads and may act on

  5. 05 · Change / Version

    1 mode

    • AI-07

      Silent gate regression

      A model or rule change narrows what the stop gates catch.

    Stage tracks

    Model, prompt, stop gates and policy sources

  • Sev-1 · a driver is pressed after refusing
  • Sev-2 · a wrong answer reaches the driver
  • Sev-3 · a policy source degrades, reply routes to review
See the complete Transportation failure-mode catalogue

Affected slices

Overall answer quality can hide one question type

The exchanges an average under-counts are the fatigue ones — rare enough to disappear fleet-wide, and the ones where being wrong is a 49 CFR 390.6 problem. Nestack reports the hand-off rate by question type, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Fatigue and fitness to drive6.3%3.7×Review
Hours and duty-status questions3.9%2.3×Review
Defect and DVIR questions2.5%1.5×Watch
Routine paperwork questions1.4%0.8×Normal

Bar: hand-off-rate lift vs. routine-paperwork baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

A person picks it up, then it closes

The loop shuts when the miss is a case in the suite, not when it has been explained. That suite is what the next driver question is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Hand-off rate rises in a question type.

  2. 02

    Diagnose

    The manager who took the exchange reads it back against the policy until one cause holds.

  3. 03

    Improve

    Whatever changes ships against a version, with the exchanges that prompted it attached.

  4. 04

    Verify

    Nothing ships until the affected cases pass a second time.

  5. 05

    Learn

    The suite grows by one case; so does the coercion guardrail set.

  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, answering workflow, evaluation, integration, then production validation and handover.

Workstream

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

  1. 01Driver-support workflow discovery and boundary definition.Week 1
  2. 02Fleet, ELD and channel source assessment.Week 1, Week 2
  3. 03Policy, stop-gate and coercion-guardrail rule mapping.Week 1, Week 2
  4. 04Question and duty-status ingestion.Week 2
  5. 05Answering logic and policy binding.Week 2, Week 3
  6. 06Confidence scoring and stop routing.Week 3
  7. 07Manager hand-off workflow.Week 3, Week 4
  8. 08Fleet and driver-channel integration.Week 5
  9. 09Coercion-language cases.Week 4, Week 5
  10. 10Guardrails and escalation controls.Week 4
  11. 11Exchange-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 channelProductionProduction fleet systemsAdvancedMultiple terminals / channels
Introduced at Pilot
Answering from your own policies✓✓✓
Manager hand-off✓✓✓
Answer-quality baseline✓✓✓
Introduced at Production
Reporting by question type—✓✓
Hand-off workflow in your systems—✓✓
Approved write-back—✓✓
Fleet-system integration—✓✓
Introduced at Advanced
Multi-terminal policy sets——✓
Multi-stage escalation paths——✓
High question volume——✓
Multi-terminal support 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 driver policies and escalation paths

    Question and duty-status ingestion and policy mapping

    Week 1
  2. 02Representative past driver exchanges

    Answering baseline, policy binding and the stop gates

    Week 2
  3. 03Your policy source and your stop rules

    Policy, stop-gate and coercion-guardrail rule mapping

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

    Fleet, ELD and channel assessment, then integration setup

    Week 2
  5. 05Answers you would not want a driver to act on

    Coercion cases and failure-mode testing

    Week 4
  6. 06Where an answer must stop and wait for a person

    Confidence scoring, stop routing, guardrails and escalation controls

    Week 3
  7. 07Named managers to take held exchanges

    Manager hand-off 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 follow real work rather than a plan, so evaluation and pilot genuinely share the fifth week.

Phase

W1

W2

W3

W4

W5

W6

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

Week focus

W1Driver-support workflow discovery, policy mapping and the boundary

W2Fleet, ELD and channel integration and the answering baseline

W3Answering workflow, confidence logic and escalation controls

W4Evaluation suite, coercion cases and failure-mode testing

W5Channel integration, a pilot driver queue and targeted corrections

W6A live driver queue answered under supervision, then Agent Care handover

Reading the band
Bars are drawn over the weeks the work occupies. The fifth week doubles because evaluation and launch overlap.
At the end of W6
Once the queue validates, Agent Care owns the running agent.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Transportation AI agent

Build a driver-support copilot that stops where the rule says stop.

Show us your driver policies, your channels and who takes an escalation. Being wrong here is not a poor answer — it is a written record of a driver pressed after saying no, and 390.6(b) gives that driver somewhere to file it.

Typical delivery
4–6 weeks
Deployment
Your fleet systems
Person takes it
Never presses
After launch
Agent Care available

Nestack Agents · Driver support

AGT-TR-03 · Agent Care available after launch

Build a driver-support copilot

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

About you
Your drivers

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