Use Case 1
Submission Intake and Triage
Problem
Submissions arrive by email as PDFs, ACORDs, spreadsheets, and inline text. A team of associates manually sorts, enters into the AMS, scores for fit, and assigns to producers. Cycle time from inbox to broker desk is 24–72 hours. High-volume firms lose deals to faster competitors.
Approach
Email ingestion plus document AI to extract structured data from any submission format, plus an LLM-based scoring layer trained on the firm's appetite. Direct write to the AMS, automatic acknowledgment to retail agent, intelligent routing to the right broker. Human-in-the-loop for low-confidence cases.
Outcome
Cycle time falls from days to minutes. Associate headcount reallocated to revenue-generating work. Win rate improves on time-sensitive accounts.
Use Case 2
Certificate of Insurance (COI) Issuance
Problem
High-volume, low-value, repetitive work — and one of the largest sources of E&O claims when done wrong. CSRs spend hours per day issuing certificates from templates, often with manual data lookup.
Approach
Self-service COI portal for clients with policy data pulled live from the AMS, plus an automated generation pipeline for non-standard requests. Audit trail and version control built in.
Outcome
CSR time freed up significantly. E&O exposure reduced by removing manual transcription. Client satisfaction goes up because turnaround drops from days to seconds.
Use Case 3
Policy Checking
Problem
When a binder or policy comes back from the carrier, someone has to verify it matches what was quoted, line by line. This is error-prone and dull, and mistakes either cost the firm money or expose it to E&O.
Approach
Document AI to extract policy terms from carrier-issued PDFs, automated comparison against the quoted spec, structured exception report flagging only the discrepancies that need human review.
Outcome
Hours of manual review per policy reduced to minutes. Errors caught earlier, before they reach the client.
Use Case 4
Renewal Workflow Orchestration
Problem
Renewals are managed across email, spreadsheets, and the AMS, with hand-offs between producers, account managers, and CSRs. Things slip. Renewals get rushed. Loss runs aren't requested early enough.
Approach
Workflow orchestration on top of the AMS — automated 120/90/60/30-day triggers, loss run requests sent automatically, market submission packages assembled from prior-year data, internal status visible to all stakeholders.
Outcome
Renewal retention improves. Producer time recaptured. Fewer late renewals.
Use Case 5
Loss Run Requests
Problem
Every renewal needs current loss runs from prior carriers. The request process is manual email-and-follow-up that drags on for weeks.
Approach
Automated email request generation, intelligent follow-up cadence, document AI to extract loss data when it arrives, structured upload to the AMS or submission package.
Outcome
Loss run cycle time drops dramatically. Account managers reclaim hours per week.
Use Case 6
Bordereaux Generation (MGAs specifically)
Problem
Every carrier partner wants bordereaux in their preferred format on their preferred cadence. The MGA's ops team rebuilds the same data ten different ways every month.
Approach
Single source of truth pulled from the policy admin system, configurable templates per carrier, automated generation and delivery on schedule, exception flagging for data quality issues.
Outcome
Ops team headcount avoided as the MGA grows. Carrier relationships improve because reporting is on time and clean.