Industries · Charter Brokers and Charter Managers
A charter enquiry arrives at 11pm from a client who books jets in minutes. The proposal takes hours you do not have, the calendar is only as current as the last central agent who updated it, and the season gives you a handful of peak weeks to get it all right. The software is moving: the platforms the trade already uses have added AI assistants, and the industry's own market report expects most bookings to involve AI-based systems within a few years. Your business also runs on the most personal information a client ever writes down: what they eat, what they take, who is aboard. Speed that puts any of that in the wrong place costs more than the booking. It costs the client.
The record so far
tracked across 25 jurisdictions
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Start Here
Start with where you stand. The AI Baseline Report reads your position in about five minutes, and your answers pre-fill everything that follows.
Run the BaselineWhere this sits for you
Charter brokerage runs on judgement, relationships and a handful of peak weeks a year. The pressures arriving now are different in kind: AI shipped inside the platforms the trade already uses, a projection in the industry's own market report that puts AI in most bookings by 2030, and data rules that classify the contents of a preference sheet as the most sensitive category there is. None of it waits for a decision from the office.
The traditional proposal build takes about four hours of broker time per presentation, on the numbers published by the trade's own software makers, and enquiries arrive at all hours across time zones. The first credible proposal often wins the client.
Ankor, the Australian-founded charter technology company whose 7,132-yacht database is billed as the largest in the world, launched an AI-powered platform at the 2025 Monaco Yacht Show pitched as "an assistant that never sleeps". The AI arrived inside the tool the trade already works in, ahead of any practice decision about it.
Fraser's Global Superyacht Review 2026 projects that by 2030 around 70 percent of charter bookings in the ultra-high-net-worth segment will involve AI-based systems, and describes the broker's role as evolving from intermediary into data interpreter. The judgement that matches a party to a yacht stays a human sale; the systems around it are changing now.
Documented Work
Small team · Over 5,000 CRM contacts · 7 opportunity areas identified · Global charter representation
Seven opportunity areas mapped across a global charter operation with over 5,000 CRM contacts, sequenced into a three-phase adoption plan, with return client re-engagement carrying a 10 to 20 percent dormant lead reactivation potential inside the existing contact base.
Read full engagement
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 engagementThe Opportunity
AI reached this trade through its own platforms first, proposal tools, calendars and e-contracts, and through the public chatbots already open on the office's screens. The workflows below are where it returns time this season, each with the person who checks the output before it reaches a client, a central agent or the record.
Enquiry-to-proposal drafting.
AI assembles the candidate shortlist, itinerary skeleton and rate summary from the fleet databases, turning the four-hour build into a same-evening response, and the broker reviews yacht fit, availability truth and pricing before the proposal is sent.
Preference-sheet handling with data discipline.
Structured intake replaces the WhatsApp-and-email scatter, and AI summarises the party brief for the central agent and crew, returning the pre-charter coordination hours. The broker approves exactly what leaves the office, with medical detail and anything concerning children shared on a named-need basis only.
Post-charter and rebooking correspondence.
AI drafts the explanation of the APA, the advance provisioning allowance paid ahead of embarkation, alongside the feedback follow-up and next season's suggestions from the file, returning the hours the reconciliation questions absorb, and the broker signs each message before it goes.
Cruising-ground compliance briefs.
AI keeps the per-destination pack current, licensing, tax on the charter value and entry formalities, drawn from primary sources, and the principal verifies against the regulator's page before any of it is quoted to a client, because destination rules are exactly the kind of detail that changes between seasons.
Owner reporting for charter managers.
AI drafts the owner report on weeks booked, enquiry pipeline and rate positioning, cutting the month-end assembly to a review pass, and the charter manager reviews before the owner sees a number.
These are the workflows the prompt library and training stand up, under the standard the AI use policy, approved-tools register and named checkpoints set.
Where to start
The preference sheet is the most sensitive document the business holds. The practice standard is what lets the office use AI on everything around it with a clear conscience.
See where AI already sits in the brokerage. The AI Baseline Report reads your position in about five minutes and comes back in plain terms: the kinds of AI risk as they reach your business, the rules that already apply to you, and the moves ranked from the top.
The written standard underneath it: an AI use policy, an approved-tools register with the rule on what guest data may enter which tool, and named checkpoints before anything AI-touched reaches a client, a central agent or the record. It comes with a prompt library that starts the office's first governed workflow, 90 days of education, 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 outputs are governance artefacts, drafted for review and adoption inside your own organisation. Where legal advice is needed, it belongs with qualified counsel.
Reading
June 2026
What the frameworks say, how far they reach, and what organisations can do now.
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.
July 11, 2026
Seven days with Anthropic's Fable 5 across client systems, two product launches, and back-burner builds. What one person can carry, and what stays human.
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.
