AI for MGAs and wholesalers, built for speed to quote and clean bordereaux.
Bluegrass builds production AI systems for managing general agents, program administrators and wholesale brokers, from submission intake and clearance to bordereaux. They run in your own cloud account, connect to your policy administration system and belong to you.
An MGA's margin depends on how much a small underwriting team can write, and every hour spent keying submissions or fixing bordereaux is an hour not spent underwriting.
Where an MGA's and a wholesaler's time goes
Submission volume
Brokers send far more submissions than any team can quote, in every format, and the good risks wait in the same queue as the ones you would never write.
Clearance and appetite
Each submission has to be cleared against existing business and checked against appetite and guidelines that change with every capacity renewal.
Market selection
Wholesalers have to match each risk to the markets most likely to write it, across dozens of carrier appetites that change every quarter.
Reporting to capacity
Premium and claims bordereaux have to be produced for each capacity provider in its own format, on time and reconciled.
What we build for MGAs and wholesale brokers
Appetite and market matching
Each risk checked against every market's appetite, held as structured rules, so that brokers approach the markets whose appetite fits it.
Binder issuance
Binders and policy documents generated from the bound terms and checked against the quote before they go to the broker.
These are examples of what we can build for MGAs and wholesale brokers. Pick one up as-is, have it tailored to you or suggest something entirely new.
Talk to an engineerWhere to start
For an MGA we would normally recommend intake first, because it frees underwriter time immediately and produces the structured data every later system needs. For a wholesaler, market selection and quote comparison often come first.
The 4-week Opportunity Evaluation tests that order against your own submissions and programs before anything is built.
Questions and answers for MGAs and wholesale brokers
- Can you work with our policy administration system?
- The systems connect to the platform you run through the interfaces it provides, and the evaluation confirms exactly how before anything is built.
- Can the system bind?
- Binding authority stays with your underwriters. The system prepares, checks and recommends, and anything it does automatically is limited to rules your underwriters have approved and can switch off.
- We run several programs with different carriers. Does that complicate things?
- Running several programs is the normal case, so appetite rules, bordereaux formats and guidelines are configured per program, and each capacity provider's requirements are kept separate.
A senior team that has done this before
We are a small, entirely senior team with fifty years of combined AI engineering, multiple granted patents and Y Combinator founders, from Yale, MIT, McKinsey, Goldman Sachs, Microsoft and Vista Equity Partners. The people who scope your work are the people who write the code.
Selected work
We built the AI transformation roadmap for a top-50 P&C brokerage, and it is saving the firm millions of dollars in vendor fees it did not need to pay.
Clients include some of the largest banks, RIAs, fintechs and AI labs, as well as a top-3 P&C carrier, a top-10 P&C brokerage, a top-5 trucking brokerage, a leading specialty MGA and a leading trucking MGA.
We run only 3 to 5 engagements at a time, so that every client works directly with the senior team.
About the team- Dozens
- of insurance companies, RIAs, banks and fintechs we have worked with
- 50 yrs
- combined AI engineering experience
- 10+ Patents
- granted to members of the team
- 100%
- of the IP we build is assigned to you
Tell us which workflow costs your team the most time.
A 30-minute call with an engineer usually shows whether something is worth building. Within a week you will have a free written point of view on the two or three opportunities we think are real and what each is worth.