Your Startup MGA Doesn’t Have a Technology Problem

We get calls from two very different groups.

The first is an established MGA processing thousands of submissions, policies, and endorsements manually. Its team is drowning and growth has become an operational problem.

The second is a startup MGA with no premium, great ideas and a fresh VC check in the bank.

The first has a technology problem.

The second has a distribution problem.

Startups need to prove distribution first before buying or building technology.

The Premature Optimization Trap

“Do things that don’t scale.”

— Paul Graham

Insurance software can be an incredible force multiplier. It’s designed to solve complex, high-volume operational bottlenecks, massive endorsement volumes, complex exposure management, automated mid-term adjustments, and real-time auditability across thousands of policies.

Do you know who has those problems? An MGA running a $20M book. Do you know who doesn't have those problems? A startup with zero active policies.

Instead of optimizing for the “ideal future state”, just focus on distribution. The objective isn’t to build your permanent infrastructure on day one. It’s to learn what that infrastructure eventually needs to do.

Your application will change. Your appetite will change. Your carrier may change. Brokers will send risks you never considered…

Until you have real business, you are not automating a process—you are hard-coding a prediction.

How Specialty Insurance Actually Runs

So much of specialty insurance still runs manually — over email, with Excel raters and manual issuance teams behind the scenes.

We have seen books reach both $5M and $30M+ before the manual operation begins to show cracks.

That does not mean you should operate manually forever. It means you can get into the market, learn from actual business, and prove the model before committing to actual infrastructure.

“If you’re not embarrassed by the first version of your product, you’ve launched too late.”

— Reid Hoffman

“But, Our Carrier Requires a System”

We hear this a lot.

Usually, what the carrier ACTUALLY requires is a reliable process and clean data.

Can you show what is on risk? How it was priced? Whether it followed the underwriting guidelines? Can you produce an accurate bordereau on schedule?

Those are the questions that matter.

"But, we aren’t just an MGA. We are tech-enabled. It's our differentiator!”

Great. But your agents probably do not care.

They care about appetite, price, responsiveness, and whether you will actually quote the submission.

Technology can improve those things. But a fully configured underwriting workbench or PAS without submissions or policies isn’t differentiation. It's just overhead.

Distribution is King 👑

Go out of your way to become the easiest market for brokers to send business to. Take a competitor’s application. Take the expiring policy and analyze it. Call the broker and complete the submission yourself.

Do whatever it takes to remove friction and generate real flow. Behind the scenes, your team can run manually.

The customer experience should be fast and high-touch. The back office does not need to be beautifully automated.

The Exception: You Know the Flow™ 

If you already have distribution on lock, then please IGNORE everything above… Maybe you are launching with an existing book. Maybe a major wholesaler has committed real submission flow. Maybe you’re an insurance veteran… 

You know your insurance factory will have orders. Call us.

But letters of intent, encouraging conversations, and premium projections are not locked distribution—actual submissions (and their binds) are.

Earn the Right to Scale

Eventually, the manual operation will break.

Submissions will overwhelm the team. Quotes will be delayed. Endorsements will create a backlog. Carrier reporting will require days of reconciliation.

Now you have earned the right to solve the technology problem.

Should you build or buy?

That depends entirely on the product you’re trying to scale. More importantly, you can now answer the question using real workflows, real policies, and real operational pain.

Wrestling with that decision?

We should definitely chat… but only if you’ve figured out distribution!