AI for marine insurance brokers.

The renewal file keeps taking longer. Regulatory expectations shifted through 2025, the market is remarketing itself as capacity returns, and the same three people carry a book that grew while the profession aged. Brokers under thirty are the smallest share on record.

Meanwhile the tools arrived quietly: a pre-renewal summary here, a policy comparison there, a junior pasting client details into ChatGPT because it was faster. The pattern is documented across markets, adoption running ahead of governance, and the licence obligations were yours throughout. There is a version of this where the admin lifts, the craft stays, and your file notes show who checked what before it reached the client. It starts with knowing your position.

Figures as published on southernsky.ai, reviewed September 2026.

On the UK desk AI arrived renewal-first: summarising a year of client activity before the renewal conversation, comparing wordings on a remarketed placement, drafting claims chase correspondence, speeding data entry, with the broker checking each output before it reaches the client or the market. The market being placed into has moved further still: most of the Lloyd's market now runs or is building formal AI governance frameworks, human review of AI output is a mandated control at a majority of the firms surveyed, and the underwriters' own committee has published the questions professional-lines insureds should expect.

The firms asking have already built the artefacts they are asking for, and the accountability on your own side is personal: a named senior manager under the Senior Managers and Certification Regime (SM&CR), with Consumer Duty reading outcomes across the file. A written AI policy, an approved-tools register and training records give that senior manager the evidence the regime already assumes, answer the questions arriving on the firm's own PI and cyber renewals, and meet the diligence flowing down from the managing agents in one set. The placement outcome stays the underwriter's call.

COVA prepares the pre-renewal summary that historically took upwards of 30 minutes per file to understand a year of activity, cutting it to about 15, and the broker checks the summary before it reaches the client.

COVA compares policy wordings across markets on a remarketed file, and the broker verifies the comparison before advising.

COVA scans the market for alternative capacity when an incumbent moves, and the broker confirms appetite before presenting options.

JAVLN summarises twelve months of client activity for renewal prep and halves the time, and the broker reads it against the file before the renewal conversation.

A chatbot drafts claims chase letters and correspondence, and the broker checks the agreed value, the lay-up warranty and the named-storm terms before it goes to the insurer or the client.

Juniors use AI to speed data entry, under a rule naming what client detail may go into which tool.

These are the workflows the prompt library and training stand up, under the standard the AI use policy, approved-tools register and training records set, the same artefacts regulators and underwriters ask to see.

Figures as published on southernsky.ai, reviewed September 2026.

Founder, Southern Sky AI

20+ years in international superyacht and maritime operations. Admitted Lawyer (Supreme Court of NSW). ATSE Elevate Scholar 2026, completing a Master of Artificial Intelligence.

Figures as published on southernsky.ai, reviewed September 2026.