Behind the Scenes: How AI Is Making Your Insurance Faster and Fairer

In 2026, AI has shifted from a background tech topic to the number one risk concern for New Zealand insurers, after jumping from 10th place in 2023 to first place in 2025 in PwC’s Insurance Banana Skins research, which tells you the industry now treats AI as a core operating and trust issue, not a side project.

For you, this creates a double edged change, because AI can speed up claims and improve service when you need help, while also powering more convincing scams and increasing the chance your data gets mishandled if organisations do not run tight controls.

1. The good: faster claims and better healthcare

The fastest improvement shows up in claims triage, because AI helps insurers sort high volume claims quickly, push straightforward claims through faster, and route complex claims to humans early, which reduces backlogs after major events and helps people get paid sooner when the timing matters most.

Some insurers and partners also use automation to handle repetitive admin steps during peak demand, which is another way AI removes queue time without removing human judgement where it counts.

AI also strengthens fraud detection, which matters because fraud pushes premiums up for everyone, and a New Zealand financial services pilot described by KPMG reported a 300 percent lift in fraud detection rate after building a composite AI fraud detection model that uncovered new patterns in claims leakage.

On the healthcare side, AI scribes already show up in real New Zealand use, with reporting on Tend’s experience describing an AI scribe being used in nearly 100,000 consultations to reduce documentation burden so clinicians spend more time engaging with patients rather than typing notes.

New Zealand is also moving toward validating AI support for breast screening, with government announcements describing a formal exploration and validation pathway for AI tools that could support radiologists and reduce workload pressure while keeping strong clinical oversight and safety standards.

2. The bad: AI powered scams that look real

The same tools that make service faster also make scams sharper, because voice cloning and deepfakes let scammers imitate family members or staff and create urgency that pushes people into transfers before they verify, and BNZ’s research notes New Zealanders already respond by adding extra verification steps such as family safe words.

Phishing has also levelled up, because “VibeScams” describe AI built fake websites that pass a quick glance test by cloning brand look and feel in minutes, which makes link based traps harder to spot when you scroll fast.

A third risk sits inside workplaces through “shadow AI,” where staff use unapproved AI tools without governance or oversight, which increases the chance of leaking sensitive customer information or internal documents in ways the business does not even see until it becomes a problem.‍

3. The future: insurance that shows up everywhere, and prices that match you more closely

You will likely see more embedded insurance, where cover appears at the point of purchase, such as device cover or travel cover offered inside the checkout flow, which feels convenient but also increases the need to check what you are buying and whether you already hold similar cover elsewhere.

You will also see a push toward more personalised pricing as insurers use better data and analytics to estimate risk, including the growing use of telematics style driving data and the longer term potential for wearable health data to support more tailored underwriting and engagement.

Quick tips for the AI age

If you get an urgent call asking for money, hang up and call back on a known number, and consider setting a family safe word so you can verify identity under pressure.

Before you enter logins or payment details, type the website address yourself instead of clicking a link, because modern phishing pages look real at a glance.

Treat AI tools as helpful, not authoritative, because people still prefer humans for major decisions, and one example is a CFA Institute survey result referenced in Australian adviser coverage that found 81 percent of Australian investors trust human financial advice over robo advice.

Where Invicta Financial fits

AI changes the speed and pathways behind your cover, but you still need human judgement when you set sums insured, structure health and income cover, and make trade offs between price, wording, exclusions, and claims experience, and that is where a modern advice firm earns its keep by using tech to move faster while keeping decisions grounded in your real situation.

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This article shares general information and does not consider your personal circumstances, objectives, or financial situation, so you should not treat it as personal advice.

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