Case studyAutomotiveSolution Blueprint and concept prototypeBlueprint + concept prototype
Lucid: Making Every After-Sales Promise Owned and Visible
Client
Promise record
In the workshop, waiting for a partSC-2417
- Promised return
Thu 14 NovSun 17 NovReason: part on back-orderOwner must be toldPrevious date and reason kept- Next contact
- Today, 16:00Owned by the service advisor
Recontact queue
- UpcomingSC-2422Tomorrow, 09:30SC-2430Tomorrow, 11:00
- Due nowSC-2409Today, 16:30SC-2417
- OverdueSC-2417
Escalated to the service manager
- Booking
- Advisor record
- Recontact queue
- Status page
Lucid Motors looks after premium electric-vehicle owners in Riyadh and Jeddah. While a car is in the workshop, the owner's trust rests on two promises: when someone will call, and when the car comes back. Ting designed how that follow-up runs.
- Industry
- Automotive, EV after-sales service
- Location
- Riyadh and Jeddah, Saudi Arabia
- Deliverables
- Solution Blueprint and a bilingual concept prototype
- Challenge
- Making every follow-up and return promise owned and visible
Your vehicle
In the workshop, waiting for a part
- Expected return
- Sun 17 NovMoved from Thu 14 Nov: the part is on back-order
- Next update from your advisor
- Today, by 16:00
Reviewed before publishingAdvisor's private notes are never published
The challenge
After-sales service is where a premium car brand keeps or loses its owner's trust. A car can spend days in the workshop waiting for diagnosis, parts or approval, and in that time the owner's questions are simple: when will someone call me, and when do I get my car back?
The Blueprint named the risk precisely. When the next contact and the promised return are held in someone's memory or spread across separate screens, a missed call does not look like a failure. Nobody sees it until the customer calls in. And a return date that quietly moves does more damage than one that was never given.
The scope came with firm boundaries. The new workspace had to stand on its own, with no connection to the CRM, and calls would still be made by people, outside the platform. Whatever we designed had to make follow-up dependable inside those limits.
Our approach
One record from booking to handover. The owner chooses the car, describes the concern, picks a service centre and an available slot, and confirms once. That request is the same record the service advisor opens, with nothing typed twice.
A deadline for every promise. Each active case carries an owned next-contact deadline with a reason. A rule-based queue sorts the advisor's day into overdue, due now and upcoming, and escalates to a manager when a promise is at risk. Advisors can override a deadline, but only with a reason.
Return promises with a history. Expected completion and handover are recorded separately, every change keeps its previous date and reason, and a changed date creates an obligation to tell the owner.
A status page the owner can trust. A secure page shows only reviewed, customer-safe updates. Private advisor notes never publish.
A concept the team could walk through. Before any production commitment, Ting built the front end in Arabic and English on fictional data and recorded the full journey: booking, advisor workspace, the recontact queue and customer status.
What was delivered, and how it will be judged
A Blueprint and a concept prototype, handed over for review. How a pilot would be judged is set out below; no result is claimed yet.
- Handed overOctober 2026
For stakeholder review: the solution Blueprint, with the workflow, data model, architecture, requirements and acceptance measures. Alongside it, the bilingual concept prototype and a recorded walkthrough of the whole journey.
- How a pilot will be judged
On three measures: contact made successfully and on time, the overdue backlog, and handover against the promised date. No improvement percentage is promised before a two-week baseline exists; targets are set from that baseline.
- Optional later additions
Approved customer messaging, and parts or fleet integration, each documented with its own approval.
The concept runs on fictional data in the browser: it shows the journey, it does not prove a result.
Not every part of a good system should be AI.
Why this matters
This engagement made a point we now make to every client. The Blueprint keeps diagnosis, repair decisions and customer calls with people, and uses plain rules for deadlines and escalation, because a follow-up promise has to behave the same way every time. Intelligence is worth adding once the record underneath it can be trusted.
For any Saudi service business, from dealerships to equipment maintenance, the lesson holds: customers rarely judge you by the repair; they judge you by whether you kept your word while it was happening.
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