Commercial Quote Preparation for Investment Banking Analysts with Bloomberg Terminal

Bloomberg Terminal Investment Banking Analyst Investment Banking

The Problem

Quoting a new Investment Banking account means pulling loss runs, building exposure schedules, and sending submissions to 6 carriers — and the carriers that respond fastest win.

What We Build in Bloomberg Terminal

AI builds the submission from the broker's intake, routes to carrier APIs via Datasite, and assembles the quote comparison — submission-to-proposal time drops from 5 days to same-day. Purpose-built for teams running Bloomberg Terminal — uses the native API or agent integration so nothing leaves the system of record.

Bloomberg Terminal Integration Approach

1

Audit your Bloomberg Terminal configuration

We map the specific Bloomberg Terminal objects, custom fields, and workflows the automation needs to touch for your investment banking practice.

2

Build on the Bloomberg Terminal API or agent

Integration happens inside Bloomberg Terminal — no data leaves the system, no parallel tool for your team to learn, no license changes.

3

Human-in-the-loop handoff

Every automation routes exceptions back to a human in Bloomberg Terminal with enough context to act — AI handles the 80%, your team owns the judgment calls.

See this running in your Bloomberg Terminal instance

30-minute call. We'll look at your actual Bloomberg Terminal setup and show exactly how this workflow fits.

More About This Workflow

Commercial Quote Preparation for Investment Banking Analysts

AI builds the submission from the broker's intake, routes to carrier APIs via Datasite, and assembles the quote comparison — submission-to-proposal time drops from 5 days to same-day.

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