Reconstructed case
What happened around the fault
Each event opens its source record
- Build 24.7 installedOTA history
- Camera service restartedVehicle telemetry
- Fault code recordedDTC event
- Symptom confirmed in workshopService record
Agent Hive for automotive
Turn a field signal into an engineering decision you can stand behind.
When a vehicle issue appears, the clues are rarely in one place. Agent Hive brings them together so quality and engineering teams can work out what happened, test the likely causes and decide what to do next.
For global OEMs and Tier-1 suppliers.
01 · Field signal
Camera unavailable after update
Vehicle event and workshop complaint point to the same symptom.
02 · Leading pattern
Build 24.7 × ECU rev C
Supported by eventsRegion ruled out03 · Fleet exposure
Scope only the vehicles that share the pattern
Matched by build and configuration
04 · Human decision
Review the cohort before the next rollout wave
Ready for engineering review
See the whole case
The clues are there. They’re just spread across too many systems.
Telemetry shows the event. Service records show what happened in the workshop. Engineering systems hold the versions, changes and test history. Agent Hive connects those pieces so the team can investigate them together.
Seven separate trails
- Telemetry08:43 · Camera service restarted
- DTCs08:44 · B14CF recorded
- ECU stateRevision C · calibration 7.2
- Software / OTA08:42 · Build 24.7 installed
- EngineeringCR-218 · dependency changed
- Service / warrantyBlank view after restart
- Supplier validationRevision C test record
Agent Hive joins by
- Vehicle
- Time
- Version
- Configuration
One case timeline
- 1Assemble the case
- 2Compare possible causes
- 3Engineer review
- 4Approve the next step
Agent Hive stays the same. The evidence, language and controls come from your automotive operation.
Operational workflows
Start with a case your team is already working.
Pick a field-quality, software, after-sales or engineering issue that currently sends people searching through different systems and asking other teams for missing context.
Field-failure investigation & exposure
Find out what failed—and which other vehicles may be at risk.
Start with the symptom, then bring in the vehicle configuration, software build, operating conditions, service history and similar cases. Engineers can see why one cause leads and how the affected group was defined.
- Field signal
- Build the case
- Test causes
- Scope exposure
- DecideContain, monitor or validate
Software/OTA regression investigation
Pinpoint what changed when the new behaviour appeared.
Compare software versions, package dependencies, rollout waves, DTCs, validation results and vehicle configurations. That gives the software team a much shorter path to the regression.
- Behaviour change
- Rollout history
- Compare dependencies
- Validate
- Control rolloutPause, patch or continue
Warranty & service intelligence
See the pattern hiding in claims and workshop notes.
Group similar symptoms, replaced parts, repair actions and repeat visits, then compare them with the vehicle and component history. Quality teams get the underlying records, not another black-box summary.
- Incidents
- Normalize
- Find pattern
- Review
- RespondGuidance or escalation
Component & cross-domain engineering
Follow the issue wherever it leads.
A component problem may cross software, hardware, system interfaces and company boundaries. Agent Hive keeps the requirements, variants, supplier tests and field evidence together while each owner reviews their part.
- Issue
- Map context
- Trace interfaces
- Joint review
- CorrectChange with evidence
Global Automotive OEM
One field-quality team follows an SDV issue from symptom to containment.
This anonymized story starts with a recurring field symptom. The team needs to connect vehicle events, ECU state, software history, configuration, workshop evidence and engineering records before it can decide how to respond.
Agent Hive does the legwork across those sources and compares several possible causes. Field quality and engineering still make the call: inspect the evidence, agree on the exposed group and approve the next step.
OEM operating view
The same investigation model extends to Tier-1 component, integration and customer-quality cases.
Case openedIntermittent function loss after update
Field quality
Case ownerStarts with the recurring symptom
Vehicle IDs, workshop reports and the first field events enter one case.Agent Hive
Context assembledReconstructs the evidence trail
Versions, configuration, event timing and engineering changes are linked back to their sources.Software + systems
Expert reviewChallenges the leading explanation
Engineers inspect supporting and contradictory evidence before agreeing on the exposed group.Quality approver
Decision recordedRecords the containment decision
The rationale, cohort definition and required follow-up travel together.
Decision package
- Source-linked case
- Alternatives considered
- Defined vehicle cohort
- Approval record
The horizontal Agent Hive platform
Use the same Agent Hive platform across automotive work.
Field quality, software and supplier investigations use different evidence, but they do not need different AI products. Agent Hive provides the shared platform; each team brings its own systems, experts and controls.
One shared operating layer
- 1
Enterprise Context
Connect automotive terminology, vehicle identity, software versions, configurations and source permissions.
- 2
Agent Orchestration
Gather evidence, reconstruct timelines, compare causes and prepare work for expert review.
- 3
Evaluation & Improvement
Let engineers challenge evidence, correct missing context, compare alternatives and improve the workflow.
- 4
Governance & Deployment
Keep identity, approvals, audit history and deployment boundaries controlled.
Managed
Let QpiAI run the platform for you.
You keep identity rules and approved connections while QpiAI operates the Agent Hive environment.
QpiAI managed environment
- Customer identity
- Approved sources
- Audit history
Private VPC
Run it in your own private cloud.
Agent Hive operates inside a dedicated virtual network following enterprise identity, security and regional requirements.
Dedicated virtual network
- Enterprise identity
- Private connections
- Regional controls
On-prem
Keep it next to sensitive engineering systems.
Case data, agents and audit history stay inside the enterprise or engineering network.
Enterprise engineering network
- Local case data
- Local agents
- Local audit history
Hybrid / isolated
Keep the data local and control what reaches a model.
Records and case history remain inside the isolated environment while a policy gateway filters approved requests.
Policy-controlled boundary
- Local records
- Policy gateway
- Approved model requests
Questions we hear from automotive teams.
Most conversations start with a difficult case, the systems holding the clues and the people who have to sign off on the next step.
Is Agent Hive automotive-specific software?
No. It is the same horizontal Agent Hive platform used across enterprise work. Automotive teams connect it to their own systems, vocabulary, review process and security controls.
Does Agent Hive replace our diagnostics, PLM, warranty or service systems?
No. Those systems remain the source of record. Agent Hive helps people investigate across them without losing the link back to the original data.
Can engineers challenge the hypotheses and exposure view?
Yes. Engineers can open the supporting and contradictory evidence, fix missing context, compare the alternatives and reject a proposed action if the case is not strong enough.
Does this work for Tier-1 suppliers as well as OEMs?
Yes. The same approach works for component failures, software integration, validation gaps, customer-quality escalations and investigations shared with an OEM.
Are you publishing results from the Global Automotive OEM story?
No. The story shows how the investigation is set up. The customer is anonymized, and the metric fields stay hidden until the customer approves them for public use.
Start with a real automotive case
Bring us the investigation your engineers still reconstruct manually.
We’ll sit down with the team, trace where the clues live and sketch the agents, review steps and deployment setup around that one case.
Book a demo