Peer cluster
Automotive service operations have three characteristics that break most generic software: the volumes are high, the integration surface with insurers and DVLA is wide, and the SLAs are uncompromising. Here is what running at this scale looks like in the wild.
Automotive back-offices live on integrations. The question is never whether a platform can technically integrate. It is whether a comparable operation has already run this integration surface at volume and not broken. That is what peer proof solves for.
Benchmarks in this sector
1.75M+
Cases under management at one operator
Routed to 2,300+ engineers across the UK.
5M+
API calls per year across integrations
Six integrations operating as part of the core workflow, not as exceptions.
3 days
Average case completion at scaled operator
Average completion time, from the Automotive Experts case study.
Named peers
Firms like yours, not logos in a grid. Each one has a case study you can read in full.
Where firms start
Each is a single, contained workflow that suits a 30-day pilot in this sector.
Vehicle data checks (HPI, MOT history), insurer instructions, vehicle-data compliance, motor-claims legal and regulatory constraints. SwiftCase handles these as part of the workflow, not as custom-coded exceptions.
When firms pilot
New insurer contracts come with new SLAs and integration demands. Pilots often get triggered here.
Winning a new insurer panel can step volume up overnight. Existing processes that were adequate at the old volume break.
When per-case fees tighten, any manual handling becomes unaffordable. Automation moves from nice-to-have to survival.
The pilot is designed exactly for this: one workflow, 30 days, fixed scope. Start with the diagnostic, the estimator, or the scoping call. Whichever moves you forward.
