Representative example. A European insurance broker that gathers quotes from multiple insurers on behalf of its clients. Handlers were spending much of their day re-keying the same client details into several insurer portals — slow, repetitive work that scaled badly as enquiry volume grew.
Handlers re-keyed the same client details into several insurer portals to gather quotes. It was slow, repetitive and error-prone, turnaround stretched to a day or two, and mistakes meant re-work — a growing bottleneck as volume increased.
The broker worked with RPAverse to remove the manual quote-gathering step. Using UiPath for the portal work and AI for the document reading, we scoped one process and shipped it live in five weeks.
The handler enters the client's details once. From there the automation does the repetitive work across each insurer.
The pilot focused on one clearly scoped process, built to run reliably and hand back only what needs a human:
The client's details are entered a single time instead of re-typed into every portal.
A UiPath bot logs into each insurer portal and requests the quotes.
AI reads the inconsistently formatted quote documents so nothing has to be re-keyed.
The quotes are compiled into one comparison view for the handler.
Anything unusual is flagged for a person to handle, with the context attached.
Delivered as a five-week pilot on one process, ready to scale to others.
The aim wasn't to automate everything at once — it was to take one painful, high-volume process and make it reliable:
Figures are approximate and representative of this type of engagement, not an audited result for a specific named client:
Quote turnaround cut from ~2 days to same-day
~12 hours/week of manual data entry removed per handler
Data-entry errors down ~30%
Live in 5 weeks
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