
The twelve questions an AI use policy has to answer
July 17, 2026
What an insurer, auditor or client reads for in an AI use policy: twelve questions that test any draft, template-started or written from scratch, before someone asks to see it.
Industries · Marinas & Boatyards
The berth sheet is full, the waitlist runs years, and the same small office carries all of it: rate letters, licence renewals, contractor inductions, the debtor list, the board pack. The insurance renewal weighs heavier each year, and the questionnaire now asks about cyber controls and data handling alongside the cyclone plan. Somewhere in that week, AI arrived.
The page you are reading is universal. Pick your region to see the regulators, cases and pressures that reach your operation.
Where are you based?
The record so far
tracked across 25 jurisdictions
Every founding document reviewed by the legally trained founder before delivery.
Documents usually within two business days.
Training certificates independently verifiable at southernsky.ai/verify.
Start Here
Read your marina's position in about five minutes. Twenty plain questions in, four readings back: the AI risks as they reach your marina, the regulations that already apply to you, the cost of leaving that use unmanaged, and the moves that matter most, ranked.
Get your baselineWhere this sits for you
A rate letter drafted in ChatGPT, Copilot switched on inside Microsoft 365 without anyone deciding it, a camera system with detection features nobody has read the terms of. Your berth holders trust you with names, addresses, vessel values and payment details, and that trust is the asset the whole business rests on. There is a version of this where the office keeps its speed, the tools carry rules the way the fuel wharf carries rules, and you can tell the board and the insurer where you stand. It starts with knowing your position.
Northern-Australian marina premiums have risen by more than 300 percent, cyclone excesses have reached $500,000 to $1,000,000, and marine was left out of the federal Cyclone Reinsurance Pool. A Treasury-commissioned review found large marinas unable to place all of their risk. The questionnaire itself is changing too: underwriters now ask about cyber controls and data handling in growing detail, and questions about AI use are following the same path.
The marina manager position has been the role that keeps arriving as the hardest to fill in the sector's own salary survey, senior vacancies take months, and 52.1 percent of marine businesses already report direct revenue loss from workforce gaps. Succession planning sits near the top of the sector's worry list. The other pressures on this page fall to a small office that cannot be replaced if it burns out.
Australian marinas average 85.4 percent occupancy with waitlists measured in years, so the commercial question is yield and visitor churn. The systems carrying that question are old: the marina management platform on one side, Xero on the other, and a reconciliation between them that someone re-keys by hand. Berth-holder records, licence data and the debtor list sit scattered across five or six systems that meet only in your head.
Documented Work

3 role-based workshop days, designed from a 12-department audit · 18 people certified, from maintenance and marine to finance and the executive team · Every participant left with a working AI setup and a reusable Skill built on a real task from their own role · Weeks later, reported publicly by the client: the team using AI more, sharing wins, and a real shift in the day to day
A twelve-department audit produced three role-based workshop days that certified eighteen people across ten departments, with the CHART quality method and the data rule embedded across the team and every certificate carrying a public verification page.
Read full engagement
One-day executive foundation session, delivered one-on-one, designed around a tightly controlled corporate IT environment where every tool runs in the browser · A monthly management accounting and insurer reporting workflow, sixteen reports each month, run end to end through the CHART quality method and captured as a reusable skill · A take-home toolkit and a short explainer video, so everything built on the day stays usable after it
A one-day, one-on-one foundation session with a senior executive in the marine insurance sector: a governed AI platform with a commercial data agreement behind it, a working environment built from the executive's own context, and a monthly reporting workflow of sixteen insurer reports run end to end and captured as a reusable skill.
Read full engagementThe Opportunity
Berth enquiries and rate letters
A broker's waitlist enquiry and the monthly rate-letter run for licence renewals get drafted in minutes, with the manager checking the figures and the licence terms before signing.
Contractor induction packs
The induction pack and SWMS notes for a shipwright crew starting a hardstand job get assembled from the marina's own site rules, with a person confirming the insurance certificates are current before the gate opens.
Debtor follow-ups
The debtor list out of the marina management system turns into chase letters pitched at the right tone, drafted for the office to approve line by line before they reach a berth-holder.
The monthly board pack
Occupancy, revenue, debtors and incidents come together into the three-page board pack in a fraction of the usual time, with the manager checking the numbers against the source system before the board reads them.
Storm-season communications
Berth-holder notices and the incident record around a weather event get drafted quickly under pressure, with the duty manager confirming the account of who ordered what and when before it is filed.
The insurance renewal file
The cyber-and-data section of the renewal questionnaire gets a first draft from the marina's written position, with the manager reviewing the answers before they go to the broker.
These are the workflows the prompt library and the training day stand up, under the standard the written policy and approved-tools register set.
Where to start
See what AI could do for your organisation. The AI Baseline Report takes twenty questions and about five minutes, and reads back the use cases returning hours in organisations like yours, the rules that already apply to you, and the moves that matter most, ranked from the top.
The working start for the marina office: a guided interview reads your operation once, and back comes a prompt library that starts your first governed workflow, 90 days of team education for the office, and the written AI policy, approved-tools register and risk read a manager can put in front of a board, an underwriter or a head office, with a recorded briefing, a 30-minute walkthrough call and 30 days of email support. USD $690 for the founding twenty places, then USD $990.
The office and the dock team to one standard, with certificates verifiable at southernsky.ai/verify.
The position stays true as the tools change.
For marina groups and multi-site operators wanting done-with-you depth.
Reading

2026
The regulators, the obligations, and the moves that matter first.

2026
Federal and state instruments reaching US marine operators.

July 17, 2026
What an insurer, auditor or client reads for in an AI use policy: twelve questions that test any draft, template-started or written from scratch, before someone asks to see it.

Written from inside your world
Kristina Agustin
Founder & Principal Digital Navigator, Southern Sky AI
20+ years in international superyacht and maritime operations. Legally trained (LLB, Graduate Diploma of Legal Practice). AI educator and consultant. ATSE Elevate Scholar 2026.
Questions
The AI Baseline Report reads your position in about five minutes, and your answers pre-fill everything that follows.