Our Editorial Guidelines

Insurtech Insights explains how artificial intelligence is reshaping insurance — claims, underwriting, fraud, embedded products, policy experience, and decision intelligence. These guidelines describe how we choose topics, research them, and keep them accurate.

1. What we cover

We publish explainers, playbooks, and benchmarks across six domains of insurance + AI. We prioritize questions practitioners actually face: how to cut claims cycle time, where underwriting models fail, what fraud patterns are emerging, and how to ship embedded insurance without breaking compliance.

2. How we research

Every article starts from a specific practitioner problem, not a keyword. Our process:

• Define the decision a reader needs to make.
• Collect primary and secondary sources — regulator filings, carrier disclosures, vendor documentation, and published benchmarks.
• Where we cite a figure, we name the source inline and link it.
• Flag anything we cannot verify rather than state it as fact.

3. Human editorial review

Drafting uses AI assistance for speed; publishing does not. Before any article goes live it is independently reviewed by a human editor who:

• Checks every claim against the cited source.
• Removes unsupported or speculative statements.
• Confirms numbers, names, and product details are current.
• Rewrites anything that reads as generic filler.

4. Accuracy and corrections

If a source is updated or we get something wrong, we correct the article and note the change. Tips and corrections can be sent through our contact page.

5. How we keep content fresh

Insurance and AI move fast. Each article shows an "Updated" date in the byline. Articles past their useful date are refreshed, merged, or retired rather than left to decay.

6. Advertising disclosure

This site is supported by advertising, including Google AdSense. Ads are clearly separated from editorial content and never influence what we cover or how we rank it. See our Privacy Policy for how cookies and ad data are handled.

7. About the author

Bin Sun is a senior analyst specializing in AI applications for insurance technology, with 15+ years in the insurance sector covering claims automation, underwriting intelligence, fraud detection, and embedded insurance. He publishes independent analysis and is reached via the editorial team.