The kind of team this fits: a commercial lines brokerage, roughly 300 quotes a month across property and casualty.
The morning before
A client calls with a property and casualty need, and the honest answer is it will take three days and probably an underwriter's attention before there is a quote worth sending back.
Image, the morning beforeA photo or illustration of what this looks like today, before any of this runs.
How this could run
Not a feature list. The actual sequence, from the moment the case lands to the moment someone signs it.
- 01
Client and market data get read as one picture
Needs and pricing profile are understood directly from the inquiry.
- 02
Market capacity gets structured into terms
Coverage and attachment points get proposed from actual market capacity, not a best guess.
- 03
A quote arrives matched to the client, not just the market
Terms come back aligned to what the client actually asked for and what's competitive.
Image, inside Zen StudioScreenshot of a Zen Studio canvas configured for a workflow like this one.
What doesn't change
The broker still presents the quote and owns the client relationship. What changes is how long the client waits to hear back.
What this could mean
Illustrative, based on the shape of a workflow like this one. The real number depends on the case, the team, and how it's configured.
3 days → 45 minutesClient inquiry to bound quote
78%Quotes issued without underwriter escalation
Image, inside Zen PilotScreenshot of the Zen Pilot dashboard or explainability panel for a run of this workflow.
Where this lives in the platform
For a commercial lines broker, a workflow like this starts as a conversation with Zara, describing the process in plain language and getting a first draft of the team back in the same session. Zen Studio is where engineering opens that draft, sets the guardrails node by node, and versions it before it goes live. Zen Pilot is where it actually runs, and where anyone can watch a case move through it in real time, node by node, with the reasoning attached.
