This text is a part of a sponsored collection by Professional Insured.
In 2025, MGAs and carriers aren’t debating whether or not to automate – they’re debating the place. Ought to submissions be routed via e-mail and OCR triage? Or pushed via a full-blown API quoting expertise?
This weblog breaks down when to make use of email-based consumption (backed by AI + human ops), when to lean on API quoting, and the right way to mix each relying in your provider connectivity, information hygiene, and scale.
The Case for API Quoting
Finest For: Carriers with clear API entry, program managers with identified guidelines, low-friction LOBs
Professionals:
- Prompt charge response, usually <2s
- No human overview if information is clear
- Can combine with CRMs or front-end portals
- Trackable – quote logs, success/fail information
Cons:
- Solely works with taking part carriers
- Can fail silently if information is malformed
- Requires structured consumption (kinds, required fields)
The Case for Electronic mail-Based mostly Consumption + AI OCR
Finest For: Dealer submissions, multi-LOB packages, carriers with out APIs
Professionals:
- Accepts real-world consumption – binders, insurance coverage app kinds, spreadsheets
- GPT + OCR classify and extract for quoting
- Extra versatile for mid-market packages
- Simpler to onboard: works on day one with inbox + entry
Cons:
- Requires QA fallbacks
- Barely slower: 2-4 hour quoting SLA vs real-time API
- Knowledge inconsistency can improve triage effort
Selectsys Blends Each: Hybrid Quoting Layer
| Situation | What Selectsys Makes use of |
| Retail dealer sends e-mail | GPT classifier → RQB prep → BPO QA |
| API-ready submission through portal | Direct RQB API name → return quote |
| PDF + consumption kind submission | OCR → subject extraction → quote set off |
| Lacking provider urge for food data | Path to underwriter for determination |
Take a look at Case
Consumer: Mid-sized MGA with 12 packages, 4 API-enabled, 8 email-only
Earlier than:
- Quoting was 100% guide
- 3 underwriters dealt with consumption → quote prep → bind requests
After Selectsys:
- API submissions routed straight via RQB
- Non-API emails categorised by GPT, triaged by Selectsys ops
- Quote quantity doubled with no improve in underwriter workload
- Bind turnaround dropped from 2 days → underneath 8 hours
FAQs
Can I exploit RQB with each API and guide submissions?
Sure. RQB helps hybrid workflows – utilizing APIs when out there and fallback workflows (e-mail, doc consumption) when not.
What occurs if the API fails or provider doesn’t reply?
The quote is flagged, and a Selectsys underwriter or BPO workforce member follows up through guide quoting.
How do you deal with completely different LOBs in the identical submission?
RQB chains quotes by line – triggering API if supported, fallback to guide in any other case.
Do we have to format emails or attachments a sure approach?
No. Our GPT classifier reads unstructured emails and attachments.
Can producers submit through portal as an alternative of e-mail?
Sure. We are able to embed RQB into portals or CRMs to set off quotes routinely.
Automate The place You Can. Route Intelligently The place You Can’t.
Let Selectsys deal with quoting with the right combination of API pace and human oversight.
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