TruVideo
Modernizing a live automotive platform into an AI-assisted operational workspace that could keep evolving without re-fragmenting the core workflow.
Visit TruVideo- ROLE
- Senior Product Designer
- SCOPE
- Platform Modernization
- YEAR
- 2021–2026
- VIA
- Kenility
Modernize a live product without breaking the workflows already generating value.
Problem — The Repair Order had grown into a crowded operational record while the platform kept adding channels, media, inspections, estimates, payments, and AI-assisted messaging.
Decision — Reframe the Repair Order as a stable workspace, keep evidence and assistance inside the active workflow, and turn recurring interaction decisions into shared product patterns.
Result — A foundation that continued absorbing product growth across dealership brands, languages, responsive layouts, and multi-million monthly media volume.
The constraint was structural, not cosmetic.
TruVideo was already a live dealership platform when I joined the core product team. The Repair Order mixed customer data, media, notes, status changes, and operational actions with little hierarchy, while legacy code paths limited how aggressively behavior could change.
The redesign therefore had to improve the information model incrementally: preserve daily dealership operations, create clearer product boundaries, and leave room for capabilities that did not exist when the original interface was built.


I reorganized the Repair Order around the advisor’s job, then placed AI inside that workflow.
The new structure established three persistent regions:
- Order context — customer, vehicle, media, inspections, estimates, payments, and module state.
- Communication — channel history, message composition, notes, standard responses, and customer context.
- Operational actions — the next actions required to move the order forward.
From 2023 onward, AI-assisted capabilities were added to that model rather than placed in a separate destination. Suggestions, professionalization, translation, and reusable responses remain adjacent to the conversation, with the advisor retaining control over the final message.
The principle was simple: assistance should reduce work without becoming another workflow to manage.

The operational model 

AI inside the workflow 
Keep evidence in context—and solve recurring product behavior once.
Video is the evidence behind many customer decisions. Opening it in a separate destination would remove the conversation and the order state, so I designed progressively deeper media access: recognition in the layout, focused modal review, and Picture-in-Picture when the advisor needs to keep working.
The same approach extended beyond media. Repeated decisions around status, filters, panels, action hierarchy, empty states, responsive behavior, white-label theming, and localization became shared patterns rather than one-off solutions.
That pattern language gave Product and Engineering a more predictable foundation for later features across the suite.

Focused evidence without leaving the order 

Foundations — tokens, components, states 

Repeated decisions turned into product patterns 
The Repair Order works because the surrounding surfaces share the same operational model.
The redesigned workspace became one layer in a broader service flow:
Ledger helps teams scan workload and find orders requiring attention. Repair Order concentrates communication, evidence, and decisions. End Link exposes the customer-facing state of the job. Technician tools and SDKs generate the evidence that enters the system.
The value is in the continuity between those surfaces, not in any single screen.



Current state 

Evidence 

Inspection 

Decision 

Payment 

Same screen, another dealership theme 

Work queue 

Order context 

Structured inspection 

Guided capture 
Shipping incrementally is what kept the redesign from becoming a rewrite.
The redesign was delivered in slices, alongside Product Owners and Engineering: business alignment, design exploration, detailed flows and specifications, PO review, handoff, implementation, QA, release, and further iteration as the product kept moving.
Specifications covered more than the ideal screen — creation flows, empty states, media behavior, panels, modals, and responsive rules — because the parts left unspecified are the parts that get rebuilt inconsistently later.
The redesign created a surface that could absorb years of additional product complexity.
The Repair Order moved from a crowded legacy page into a stable operational workspace that supports messaging, technician-generated evidence, customer decisions, AI-assisted functionality, white-label configurations, localization, and responsive behavior without requiring the core workflow to be rebuilt for each addition.
The platform now operates at multi-million monthly media volume. The business impact belongs to the broader TruVideo product; my contribution was the product structure that allowed those capabilities to coexist without re-fragmenting the advisor’s workflow.



Before — record + actions 

After — operational workspace 
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Want more detail on the AI-assisted workflows or the underlying design system? Happy to walk you through it.