Pointline product
A cleaner workflow for service operations.
An in-house product surface that turns operational mess into intake, status, review, and next-action flows teams can actually use. Built end-to-end at Pointline.
- Status
- Built
- Audience
- Service-ops teams
- Layer
- AI intake → quote
The problem
The trust gap lives in the translation step.
Service operations live in the gap between "what's actually wrong" and "here's the quote." Customers describe symptoms in vague language; technicians translate into work orders; quotes get padded because nobody trusts the back-and-forth. Both sides walk away wondering whether the price was fair.
The mark
ClearMechanic AI
Designed end-to-end
The approach
Make the quote a shared document, not a verdict.
Build a structured intake that turns vague symptom descriptions into a clear diagnostic checklist with AI assistance. Technicians review and quote against a shared, itemized surface. Customers see the same surface - what's being done, why, and what it costs - before they approve.
Brand system
Built on a calm, branded surface
Make the quote a shared document, not a verdict.
Process
How it came together
- 01
Discovery
Studied the trust gap between customers and service technicians - found it lives in the translation step.
- 02
Product architecture
Defined the intake → diagnostic → quote → approve loop with shared visibility throughout.
- 03
Design + build
AI intake surface, technician review console, customer approval flow.
- 04
Internal release
Built as a Pointline reference product for service-ops sprints.
Where it stands
The next reusable Pointline pattern.
Built and validated as a reference shape. The shared-surface model - same view across customer and operator - is the next reusable Pointline pattern for service-ops engagements.
What we delivered
Four main things.
Brand & visual system
Identity that signals fairness - calm, structured, neither customer-pandering nor technician-coded.
Workflow architecture
Intake → diagnostic → quote → approve loop, with shared visibility at every step.
Frontend product
Customer intake, technician review console, approval flow, audit views.
Backend + AI intake
AI structuring of vague symptoms into diagnostic checklists; quote engine; audit log.
What's inside
Product capabilities.
Structured intake
Vague symptoms turn into AI-structured diagnostic checklists, ready for technician review.
Technician review
Edit, validate, and quote against a shared surface - no off-platform back-and-forth.
Customer-facing transparency
Customers see what's being done, why, and what it costs before they approve.
Audit trail
Every change, comment, and approval logged for both sides.
Surface tour
Next
Invoice follow-up without the chase.
DunningPilot · Pointline product