AI readiness assessment for insurance brokers
Brokers spend their days completing other people's cyber and PI questionnaires. This is the one for your own brokerage.
Insurance brokers are used to asking the awkward questions. Does the client have multi-factor authentication? Who approves a change of bank details? What rules apply to staff using AI tools with customer data? Those questions arrive on proposal forms, and sometimes they arrive at the broker's own door from insurers, clients and the principal. It is worth knowing the answers before someone else asks.
This AI readiness assessment for insurance brokers answers them with evidence. Every person in the brokerage completes a short survey on their phone, from account executives to claims staff, in about eight minutes. The owner then receives a branded report: six scored areas, a register of tools including personal accounts, a controls checklist, and a 30/60/90 day plan. Individuals are never shown.
Where AI shows up in insurance brokers
Renewal submissions and underwriting packs
Account executives assemble client information, claims history and risk descriptions for insurers. Worth finding out whether anyone asks an AI tool to summarise prior policies, write the risk narrative or tidy the submission, and what client detail goes in when they do. These packs contain exactly the detail that clients would not want pasted into an unapproved tool.
Policy wording comparison and advice
Comparing exclusions and endorsements across quotes is slow, careful work. Ask whether staff use AI to summarise wordings or draft the advice letter explaining differences, and how a second person confirms that nothing material was dropped or invented. Differences in wording are where claims are won or lost, so this is a place to be sure about the checking step.
Claims support and client correspondence
Claims staff write to insurers, loss adjusters and distressed clients. Find out if AI helps draft that correspondence or summarise incident reports, because these documents often include injury, health or financial detail that clients expect to be handled carefully. The tone and accuracy of that correspondence matter, and so does where the underlying documents are sent.
Certificates, schedules and data re-keying
Certificates of currency, asset schedules and broker management system entries involve a lot of re-keying between insurer portals and your own records. Ask which tools are used to extract data from PDFs or emails, and whether any run through personal accounts. Convenience tools that read PDFs can be a fast route for client data to leave the brokerage unnoticed.
What puts insurance brokers at risk
Client information held on trust
Brokers hold detailed information about client operations, assets, claims and sometimes employee health. That makes a brokerage a worthwhile target and a reasonable subject of client questions. Staff using unapproved AI tools with that material is the exposure to measure first. Clients usually assume the brokerage treats their data with the care it recommends to them.
Advice quality and professional obligations
A broker's value is accurate advice about what is covered. A summary that misses an exclusion, or a wording comparison that is confidently wrong, could affect a client at claim time. Principals should know where AI-assisted analysis enters the process and who verifies it. The risk is rarely dramatic. It is a missed clause, repeated across many renewals, because a check was assumed.
The brokerage's own cover and credibility
Your professional indemnity and cyber insurers can ask the same questions you put to clients. A brokerage that advises on cyber controls but cannot show its own AI rules is exposed commercially as well as practically. The report gives you a documented starting position. Documented controls make for a more credible conversation, and a calmer renewal season.
What each role's answers show
- Principal or managing directorTheir answers on policy, licensing arrangements, insurance and client commitments show how the leadership picture compares with practice on the floor. It also shows whether principals know which tools their teams rely on in the busiest weeks.
- Account executives and account managersDescribe renewal cycles, submission building and client communication. It shows where drafting and summarising tools are in use and where verification relies on habit.
- Claims advocatesExplain how claims are lodged, tracked and communicated. The survey learns which documents they handle and which tools help with the writing and chasing.
- Client service and placement staffDescribe quoting, certificate requests and portal work. They know the repetitive steps, and the shortcuts that grew up around them.
- Operations or compliance managerCovers broker management systems, subscriptions, device controls and onboarding. This fills in the data, technology and governance parts of the report.
Everyone completes the same core survey. The job titles you choose in setup decide how people are grouped and how the results read.
Questions your report answers
- Which AI tools do account executives, claims staff and service teams use on client files, and how many are personal accounts?
- Where in a renewal or claim does AI-assisted summarising or drafting appear, and who checks it against the actual policy wording?
- Which controls would a PI or cyber insurer expect from a brokerage, and which can you evidence today?
- How many hours a week go on re-keying between insurer portals, schedules and your broker management system?
Insurance brokers in Australia generally operate under an Australian Financial Services Licence regulated by ASIC, and many subscribe to the General Insurance Code of Practice and AFCA. Handling of client information falls under the Privacy Act 1988 and the Australian Privacy Principles, with the Notifiable Data Breaches scheme in play. In New Zealand, financial advice provider rules and the NZ Privacy Act 2020 apply. Your own insurers and any group or network you belong to may set further conditions. The report is not legal or insurance advice.
Questions from insurance brokers
Why would an insurance broker need an AI assessment?
Because clients, insurers and your own principal may ask brokers the questions brokers ask everyone else. The assessment shows what your people already do with AI, which client data is involved, and which controls you can show, so your answers are based on evidence.
Can the report help with our own PI and cyber renewals?
It can give you material to work from: a tool register, a controls checklist and a scored view of governance, risk and insurance. Insurers decide what they accept, so treat it as evidence to discuss with your own adviser, not a guarantee of terms.
Are staff likely to be using ChatGPT on renewal submissions?
Some may be. Rather than assume, ask everybody. The survey records which tools each person uses and for which tasks, including personal accounts, and shows you results in groups of three or more, so people can answer honestly. Short of that, the survey is the quickest honest way to find out.
Does the survey touch our broker management system or client files?
No. It collects what staff say about their role, tasks and tools, plus a few management questions on policy and systems. It does not connect to your systems or read client information. The answers are self-reported, so they show habits and perceptions rather than a technical inventory.
What does it cost?
A$1,990 + GST once per organisation. You do a short setup wizard and add staff emails. The report arrives automatically when the survey closes. Optional membership at A$2,388 plus GST a year re-invites the same team about every 90 days and emails you a fresh report.
See how your business really works.
Ten minutes of setup. Your team answers on their phones. A report arrives when the survey closes.