Leaf

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We broke several sales records in September. Sales were 124% above our best month so far (which was August and also a record month). And the size of the customers increase as well, reflecting that larger and larger entreprises are now using LEAF. I'm extremely proud - of the team, but also of the vision of LEAF slowly coming to life. The market is ripe for adopting AI in Risk management to collect, enhance and connecting the vast amount of critical data that businesses are relying on. BTW this is Gerry our office dog. Leaf vera _

Three days, three sessions at Nordic Fintech Week. Thank you to everyone I shared a stage with, and to Copenhagen Fintech for putting it together. The debate still treats AI in insurance as something on its way, but it's already here, in the most ordinary parts of the job. A full insurance review used to take days and now takes minutes. And AI scans policies, assets and changes in the business around the clock, flagging gaps the day they open instead of at the annual review. When the work changes that much, so does what a client should expect for the money, in insurance, risk management and advisory work alike. Leaf vera _

No cover because of working hours. A Danish wholesaler with € 20M of inventory insured against fire - but faced no coverage if a forklift was charged after working hours (what are working hours for a wholesaler anyway?) If a key supplier had a fire, the business interruption cover would pay € 0. Only two named suppliers were covered. And it was paying loss-of-rent insurance on a warehouse it owns and does not rent out. It paid € 127,000 a year and was fully covered on paper. vera _ read every policy against how the business actually operates: - A production facility with welding and heavy machinery was registered as a passive warehouse, with no machinery or business interruption cover. - Goods in transit from Asia and the US were uninsured, and pests were excluded, though the company handles large volumes of animal feed. vera rebuilt the program: inventory is now declared monthly, machinery is priced at market level, and unnecessary cover was removed. Results: - Missing cover added, including product recall, cyber, crime, full water damage and 12 months of machinery business interruption. - A 27% lower premium, around € 34,000 a year. A human could not (or at least did not) catch this. But vera did. Leaf

AI risk management only counts if it does the work. vera _ does three things: 1 - Context: It reads everything there is to know about you: policies, contracts, asset lists, claims, photos, your website, public records, in whatever format they arrive 2 - Intelligence: It benchmarks your cover, pricing and terms against thousands of comparable policies 3 - Execution: It reports the claim, handles the invoicing, and opens your renewal months before expiry. With vera risk management stops being something you manage. It becomes something you grow from. Leaf

In 30 minutes, vera found DKK 390,000 in annual savings in a Danish manufacturer's insurance program, and the risks it was not covered for. The company was paying DKK 677,000 a year for corporate insurance. After vera, Leaf's AI risk advisor, went through the policies, the price dropped to DKK 287,000, with more cover than before. Here is what was hiding in the fine print: - They were paying more than double the market price to insure their production equipment. - They were still insuring a machine worth more than DKK 20M that had been sold years ago. - Their IT equipment was insured against accidental damage with a high deductible and steep depreciation, so a claim would pay out very little. Fire, water and theft were already covered at full replacement value under the contents policy. - Their inventory and equipment were insured for more than DKK 150M, although the actual replacement value was less than DKK 30M. Insurance only pays what things are actually worth when a loss occurs, so the extra coverage was pure waste. - Critical risks were completely uncovered. Despite making packaging for food and cosmetics, they had no product recall cover, no liability protection for the board, and an entire facility was missing from the policy. None of this was negligence. The policies were set up years ago, and the business changed while they stayed the same. The whole setup was rebuilt from scratch based on actual values: 1: Machinery insurance was brought down to market price. 2: The sold machine and the duplicate IT cover were removed. 3: Equipment cover was focused on the core machines the business depends on. 4: A small part of the savings went into the missing cover for the board, product recall and environmental liability. The result: - A 58% lower premium, with broader coverage. - The coverage gaps that could threaten the company are closed. - No broker meetings. Years of renewals missed all of it. vera found it in 30 minutes and will catch the next gap the day it opens. Leaf vera _