Digital Transformation in Insurance, the Broker and MGA Edition

Why brokers fall behind on tech

Digital transformation in insurance is not a new conversation, but the broker and MGA market has been slower to act than carriers. Part of that is structural — brokers operate on thin margins and are cautious about technology spend that does not have a clear near-term return. Part of it is the vendor landscape, which is dominated by platform providers that built for carriers and retrofitted broker functionality as an afterthought.

The result is that many brokers are running their core operation on a combination of an aging policy admin system, email threads, and spreadsheets held together by institutional knowledge. That works until a key person leaves, a regulatory audit happens, or a competitor offers clients a digital experience that makes the broker look a decade behind.

The contrarian point: most brokers do not need a full platform replacement. They need two or three specific capabilities — a customer portal, a document management flow, a policy comparison engine — built cleanly on top of what they already have. Transformation does not require replacement.

The platform mismatch no one admits to

The deeper reason brokers lag on technology adoption is that the buying decision is made by people who are very good at insurance and not necessarily experienced technology evaluators. They rely on vendor demos and references from other brokers, both of which are optimised to look good rather than to surface operational weaknesses.

Insurance digital transformation services are also sold at a price point that assumes a certain scale. The platforms that work well for a 200-person brokerage are oversized and overpriced for a 20-person operation. That leaves smaller brokers choosing between tools that are too limited and platforms that are too expensive — and often settling for the limited tool because the cost of the right platform feels unjustifiable.

Policy admin — legacy vs modular replacement

Policy administration systems are the core of any broker or MGA operation. They hold the policy data, the premium calculations, the coverage terms, and the endorsement history. They are also the hardest systems to replace, because they are deeply embedded in every downstream process — claims, billing, reporting, and compliance.

The choice is not always between keeping the legacy system and replacing it entirely. A modular approach builds new capabilities — a client portal, a digital renewal flow, a reporting layer — on top of the existing policy admin system via API or data integration. This lets you modernise the customer-facing and analyst-facing layers without touching the core system that your team knows and that your regulator has already reviewed.

• Keep and wrap. Legacy policy admin stays. New interfaces built on top via API. Lower risk, faster delivery.
• Gradual replacement. New system runs in parallel for new business while legacy handles the run-off book. Migration risk is spread over time.
• Full replacement. Highest risk and cost, justified only when the legacy system is genuinely preventing business growth or creating compliance exposure.

AI underwriting assistants that actually work

The insurance market has been flooded with AI underwriting tools in the past two years. Most of them are LLM interfaces wrapped around publicly available data with a compliance disclaimer in small print. The ones that actually work are built on your own underwriting history, your risk appetite, and your specific book of business.

A useful AI underwriting assistant does not replace underwriter judgement — it surfaces the information the underwriter needs faster and flags the risks that match patterns in the historical data. Submission triage, risk scoring against your own portfolio, and automated data enrichment from external sources are all achievable with a well-designed system. The key word is designed — generic tools applied to insurance underwriting produce generic output that experienced underwriters do not trust and stop using.

Digitalization in insurance at the underwriting level requires building on proprietary data, which means the AI component has to be custom, not off-the-shelf.

Compliance as a feature, not an afterthought

Insurance is one of the most heavily regulated industries in any market. FCA conduct rules, Solvency II reporting, GDPR for policyholder data, and product governance requirements under PROD all create specific obligations that software needs to support, not just accommodate. When compliance is treated as an afterthought, it becomes expensive to retrofit and creates audit exposure every time the system changes.

The practical approach is to map your compliance obligations before any development starts. For brokers and MGAs specifically, this means understanding what data you are required to retain, for how long, in what format, and who can access it. A system designed around those requirements from day one is simpler to audit and cheaper to maintain than one patched to comply after the fact. Digital transformation services that skip this in the design phase are selling you a problem to solve later.

The AEKIOS take

We have worked with insurance intermediaries who came to us after a platform purchase that did not deliver. The pattern is consistent — the platform handled the core workflow but could not flex to the specific rules or client communication model of that broker. Custom does not have to mean expensive or slow. It means built for how your operation actually works, not how the vendor assumes it works. Worth a conversation before you sign the next contract.