AI, UX, and the Real Differentiation Opportunity for MGAs

One of the questions we’re increasingly asked is simple: “If every MGA has access to AI, how does anyone differentiate?”

Submission extraction? Table stakes.
Fraud detection? Table stakes.
Document summarisation? Rapidly becoming table stakes.

If everyone is using the same foundation models, there is no structural advantage in simply “having AI.”

So where does differentiation actually live?

MGAs Only Exist Because They’re Different

It’s worth reminding ourselves why MGAs exist at all. They exist because they are not carriers. They provide specialism, flexibility, and personalised products, particularly in commercial lines where nuance matters. Commodity products compete on price and convenience. That is not where most MGAs make a living.

Differentiation is existential.

From our own experience at Azur Underwriting, and now at Azur Technology working with modern platforms, the clearest area where MGAs can differentiate is not in the model. It’s in the experience.

UX Was Always the Hidden Weapon

One of the founding principles at Azur was user experience. Graham Elliott was passionate about it. So passionate that in his next venture, Crux Underwriting, he put UX in the name. We built products that were easy to understand. Buttons that made sense. Explanations in context. Layouts that reduced friction.

It sounds basic, but it isn’t.

Most MGA technology budgets are consumed by configuring standard systems: policy admin, billing, regulatory reporting, bordereaux management. The middle and back office matters, and it soaks up capital. What rarely gets funded properly is the front end, the bit the broker actually sees.

Why the Front End Never Fit the SaaS Model

Insurance technology evolved in layers. In the 1990s and early 2000s, we built client-server ledgers and core systems. Many are still in use today. They weren’t designed for internet-native workflows, enrichment at scale, or modern UX patterns.

The SaaS era brought configurable policy administration and finance platforms. These work well for structured, repeatable processes like systems of record, payment, and regulation.

But MGAs, by definition, are not standard. They specialise. They create affinity schemes. They underwrite complex risks.

The front end, the articulation of that specialism,  never fitted neatly into generic SaaS templates. And so UX often remained mediocre. Until now.

AI Coding Changes the Equation

The real AI opportunity for MGAs isn’t just submission ingestion or fraud detection. It’s the ability to build the technology you actually want, at a price you can finally afford.

AI coding tools like Claude and Codex are extraordinarily good at building beautiful, consumer-grade interfaces.

The front end doesn’t require heavy actuarial logic. It requires:

• Clarity
• Flow
• Good defaults
• Contextual help
• Frictionless navigation

Historically, that level of polish was expensive. Now, it’s achievable.

And that’s where differentiation returns.

Sharing the Productivity Gains With Brokers

Brokers are under enormous pressure. In commercial lines especially, securing competitive quotes for clients with complex needs is labour-intensive.

These aren’t products you can compare on a consumer aggregator. They require judgment, iteration, and conversation.

If AI simply automates your back office, you capture some margin. If AI enables you to create dramatically better broker experiences, you create loyalty.

With well-designed UX:

• Brokers can select appropriate cover more easily
• They see relevant endorsements at the right moment
• They understand pricing drivers
• They avoid unnecessary referrals

That is tangible productivity gain. And when brokers feel faster and more confident using your platform, distribution improves.

UX as an Underwriting Accelerator

There’s another, less discussed benefit. Underwriting has historically been apprenticeship-driven. Much of the judgment sat in the heads of experienced individuals, supported by idiosyncratic workflows. That makes scaling difficult.

A great user experience can encode judgment pathways. Not by replacing expertise, but by structuring it.

Clear flows, guided decision points, embedded explanations, and transparent risk signals allow newer underwriters to get up to speed faster.

In an AI-assisted environment, this becomes even more powerful:

• AI handles routine data work
• UX guides decision structure
• Human judgment focuses on the edge cases that matter

That combination increases both speed and consistency.

The Future: Experience-Led MGAs

If everyone has AI models, the competitive edge shifts upward in the stack.

From:

• Raw automation

To:

• Experience design
• Workflow orchestration
• Distribution insight

MGAs that articulate their specialism through clear, intelligent, frictionless experiences will stand out. Not because their model is different. But because their platform makes brokers and underwriters better at what they do.

That’s harder to copy. And that is where real differentiation lives.

Written from experience at Azur Underwriting and informed by ongoing work at Azur Technology building AI-enabled insurance platforms.

For more of Charlie’s perspectives on AI, check out Hype vs. Reality: Where AI Fits in the World of MGAs.