Governed Test-Sequence Management for Automotive — Ticvic Case Study
Case Studies / Automotive
Automotive · Fortune 500

One bad test change can stop a production line. This supplier made that impossible.

Governed test-sequence management for a Fortune 500 automotive electronics supplier — 100+ end-of-line machines worldwide, every change approved, versioned, and traceable.

Up to 50%
Less downtime
100+
Machines governed
100%
Traceability
The ClientA Fortune 500 Tier-1 automotive electronics supplier building cockpit, infotainment, and instrument-cluster systems for global OEMs.
01

The Challenge

Test parameters changed locally, machine by machine — and each change halted production for ~30 minutes. Approvals lived in email threads.

Every parameter edit stopped a line: ~30 minutes × 100+ machines
No authorization layer; approvals scattered across email
No version history — functional-safety audits had nothing to trace
Local changes drifted between plants with no central view
02

What We Built

A centralized Test Sequence Governance Portal modeling the full hierarchy — Plant → Machine → Model → Variant → Sequence → Hardware → Parameter.

Azure AD SSO + role-based access; ticketed approval workflows with 5-minute acknowledgment windows and auto-delegation
Offline mobile authenticator (Flutter) generating secure approval codes on the plant floor
Version management with side-by-side comparison and one-click rollback
CSV import/export, dashboards, and complete audit logging
Phase 2 underway: locally deployed AI models — no data ever leaves the plant
03

The Stack

ReactPython FastAPIPostgreSQLFlutterKubernetes (on-prem)Azure AD/OAuth
04

System Architecture

Underneath the governance layer sits a simple request path: an engineer's action in the browser reaches the physical machine in five hops, with one engine in the middle deciding exactly what to run.

01

Web portal

User initiates the request

An engineer submits the request from the browser — no separate desktop client or plant-floor install required.

02

Backend API (REST)

Routes request via REST call

The request is authenticated and routed over a REST call to the service that knows how to handle it.

03

Context engine

Resolves intent, selects DLL

The context engine works out what the request actually means for that specific machine, then selects the correct native driver to carry it out.

04

LabVIEW DLL API

Native driver executes command

A native LabVIEW driver — the same low-level interface plant engineers already trust — executes the command directly against the hardware.

05

Plant machines / robots

Machines execute physical change

The physical machine or robot on the line carries out the change, with the result reflected back through the same governed portal.

05

Change Governance Workflow

Every edit — to a test sequence, a hardware parameter, or a model/variant record — moves through the same seven-step governed path before it ever reaches a machine. Nothing goes live on trust; every step is time-boxed and logged.

1

Engineer edits data

Sequence, hardware, model & variant

An engineer edits a test sequence, hardware parameter, or model/variant directly in the portal — there's no separate change-request form to fill out first. Read-only (Level 3) users can view but can't touch production data.

2

Ticket auto-created

Change captured for review

The edit doesn't go live. It's automatically wrapped in a ticket carrying the real before-and-after diff, routed to the right approval group, and visible on the live dashboard the moment it's created — no manual step, nothing hidden.

3

Approval group A1

5-min acknowledgment · 20-min SLA

Cross-functional reviewers see the exact diff and have roughly 20 minutes to approve or reject it. Miss the SLA and the ticket auto-delegates to the next eligible approver — a change never just sits in someone's inbox.

4

Approval group A2

Second review, same SLA

A second group reviews the same ticket under the same time-boxed rules. Every acknowledgment, decision, and any SLA breach or delegation is written to the audit trail as it happens.

5

Version compare

Before vs. after, side by side

Once approved, the change is shown against the current live version — the real data diff, not a text description of it — so an approver's final sign-off is based on exactly what will change.

6

Mobile RSA auth

Offline 6-digit code

The last gate before release: an offline mobile authenticator (built in Flutter) generates a 6-digit code tied to the approver's identity — built for plant floors where reliable internet can't be assumed.

7

Production release

New version, fully audit-logged

The change goes live as a new version — prior versions are retained, never overwritten — with the complete record of who edited, who approved, any SLA breaches, and the RSA authorization event, ready for a functional-safety audit.

06

The Results

Numbers from production operation — not projections.

Up to 50%
Production downtime reduction
100+
Machines governed remotely
20 min
Approval SLA per change
Zero
Downtime deployments
The governance portal turned chaos into control. We manage 100+ test machines remotely, with zero downtime and full traceability.
Program StakeholderA leading Fortune 500 Automotive company
Your platform next

Building something this hard?

Tell us what you're building. A senior engineer — not a sales rep — replies within one business day.

Talk to the architects