AI-Powered Submission Intake: How Selectsys Automates the First Mile of Underwriting
Insurance underwriting doesn’t begin with risk evaluation-it begins with sorting through cluttered, inconsistent submissions. Every day, MGAs, wholesalers, and carriers receive hundreds of emails containing PDFs, industry-standard insurance forms, loss runs, spreadsheets, and handwritten notes.
Someone has to read, extract, label, and re-enter that data.
That someone is often your most overworked underwriter.
Manual submission processing is:
- Slow and error-prone
- A major source of underwriting burnout
- Costly in time and headcount
Enter Selectsys AI OCR: Automating the First Mile of Underwriting
Selectsys solves this with a production-ready AI-powered intake engine that uses:
- Optical Character Recognition (OCR) to extract structured and unstructured data
- Natural Language Processing (NLP) to interpret email body text and attachments
- Machine Learning (ML) models to triage submission type, match to program, and prep routing
This isn’t just AI for the sake of AI-it’s automation that saves thousands of hours every year and helps your underwriters focus on what matters.
How It Works: From Email to Underwriting File in Minutes
- Intake: Submission is received via email or upload (agency, producer, API).
- Parse: AI reads the attachments-extracts key fields (LOB, named insured, FEIN, carrier, premium, exposure, etc.).
- Match: NLP identifies the program, line of business, and intended carrier/API endpoint.
- Prep: The system generates a clean intake packet, prefilled summary sheet, and pushes into Selectsys Expert Insured or RQB.
All within 1-3 minutes per submission.
Why This Matters
- Turn Submissions Faster: No more 24-hour intake delays. Submissions are triaged same-day or faster.
- Eliminate Data Entry: Underwriters receive files ready to analyze-not inboxes full of attachments.
- Scale Without Adding Staff: AI lets you process more submissions per underwriter.
- Feed Straight into Raters or Portals: Clean, mapped data means immediate handoff to XL rating or quick quote tools.
Test Case: 1,200 Submissions per Month → Cut Intake Time by 85%
Client: National MGA with E&S programs in General Liability and Contractors
Challenge: Submissions arriving from 180+ agencies, in 6+ formats, handled by a 3-person intake team.
Solution: Selectsys implemented AI OCR + NLP intake tied to RQB and Expert Insured.
Result:
- 85% reduction in manual intake time
- 1,000+ hours saved annually
- Underwriters now receive only triaged, complete packets
- 30% improvement in quote turnaround time
Frequently Asked Questions (FAQs)
What types of documents can your OCR handle?
PDFs, industry-standard insurance forms, loss runs, Word docs, Excel files-even handwritten scans in many cases.
Can we customize the fields extracted?
Yes. Our models can be trained on your specific program intake needs.
How does this integrate with our AMS or PAS?
Direct integrations available with Expert Insured, RQB, or your internal APIs.
What if a submission is incomplete?
The AI flags missing elements, routes to the appropriate queue, and notifies the broker/CSR if enabled.
How long does it take to implement?
Initial deployment in under 2 weeks. Full production rollout typically within 4-6 weeks.
Explore how Selectsys technology transforms underwriting:
- Learn more about Expert Insured AMS
- Read about BPO support for submissions & policy ops
