This discovery framework is designed to help facilitate a collaborative conversation regarding Sales Cloud. By exploring these operational scenarios, marine insurance companies can accurately assess internal workflows and identify how specific Sales Cloud capabilities can support their unique underwriting and administrative needs, starting with areas of highest impact to premium revenue and client coverage.
How are you currently tracking global pipeline visibility and broker channel performance to prevent premium leakage across regional offices?
Scenario A: Segmented Regional Data
"Every regional office uses different spreadsheets. By the time I see the global premium forecasts, the data is three weeks old and we have already lost key renewals."
Scenario B: Reactive Broker Visibility
"We know our top five brokers, but tracking the exact pipeline they bring in each quarter requires manual report aggregation from our regional leads."
What mechanisms are in place to forecast risk exposure and aggregate policy renewals across your international portfolios?
Scenario A: Blind Spots in Risk Concentration
"We lack a centralized view of our upcoming renewals. If a major port faces disruption, we cannot immediately see our total pipeline exposure."
Scenario B: Inconsistent Growth Metrics
"We hit our premium targets, but we cannot easily separate organic growth from standard rate increases without spending days analyzing the data."
How is your underwriting team managing the intake, scoring, and routing workflows for complex hull and cargo submissions?
Scenario A: Disjointed Intake Workflows
"Brokers email submission packets to random underwriters. We lose track of high-value cargo quotes because there is no centralized queue."
Scenario B: Manual Submission Triage
"We have a shared inbox for submissions. My leads spend their mornings reading emails to figure out which underwriter has the right marine specialty for each quote."
In what ways are your relationship managers tracking broker production, commission tiers, and binding ratios?
Scenario A: Undocumented Broker Interactions
"If a relationship manager leaves, we lose all history with their assigned brokers. We have no record of who is actively pitching our new liability products."
Scenario B: Static Performance Reviews
"We review broker production quarterly, but we lack daily visibility into their quote-to-bind ratios or active pipeline velocity."
How are you standardizing the data capture process for varying vessel types and voyage routes during the initial quoting phase?
Scenario A: Inconsistent Quoting Data
"Every quote request comes in with different missing fields. We constantly have to go back to the broker to ask for the vessel flag or the exact transit route."
Scenario B: Fragmented Document Storage
"We store survey reports on a local server, while the actual opportunity sits in a different database. Linking the two takes time and creates administrative drag."
What systems do your business development directors use to identify cross-sell opportunities for liability and freight coverage among existing cargo clients?
Scenario A: Missed Cross-Sell Opportunities
"We insure the hull, but we rarely know when the client is shopping for separate cargo liability. We are leaving money on the table."
Scenario B: Ad-Hoc Account Planning
"Our top producers know their clients well, but we do not have a formal system to map out decision makers for our largest global shipping accounts."
How are you currently managing the internal approval hierarchies required for high-risk or high-value marine policies?
Scenario A: Bottlenecked Approvals
"If a quote exceeds five million dollars, it needs three signatures. The requests get buried in email, and brokers get frustrated waiting for our response."
Scenario B: Untracked Policy Exceptions
"We grant rating exceptions to secure business, but we have no simple way to track how many exceptions a specific underwriter is issuing over a quarter."
How do risk engineers collaborate with sales teams to ensure vessel inspection data is directly tied to the client's renewal opportunity?
Scenario A: Disconnected Inspections
"My engineers complete vessel surveys, but the sales team often forgets to request the report before pushing the renewal quote to the client."
Scenario B: Manual Request Tracking
"Sales reps call us directly to request inspections. We use a spreadsheet to track which engineer is assigned to which port on any given day."
How much time is spent manually compiling policy histories and previous claim impacts when preparing a client's annual renewal package?
Scenario A: Painful Renewal Preparation
"Building a renewal package takes hours. I have to pull data from three legacy systems just to see the client's past premium and limit history."
Scenario B: Reactive Client Outreach
"We have a report that tells us who is renewing next month, but we rely on calendar reminders to actually start the outreach process."
How are you tracking the velocity of quotes from initial broker submission to the final binding of the policy?
Scenario A: Opaque Sales Velocity
"We have no idea where deals get stuck. A quote might sit in underwriting for two days or two weeks, and we cannot accurately forecast our bind dates."
Scenario B: Manual Forecasting Adjustments
"At the end of the month, I have to manually adjust our pipeline totals because reps forget to update their close dates when deals are delayed."