Wangari Global shares a practical framework for AI-assisted regulatory reporting at Versicherungsforen Leipzig
Wangari Global shares a practical framework for AI-assisted regulatory reporting at Versicherungsforen Leipzig
At Versicherungsforen Leipzig, Wangari Global outlined how insurers can use AI in regulatory reporting while keeping facts traceable, controls visible, and human accountability clear.
At Versicherungsforen Leipzig, Wangari Global outlined how insurers can use AI in regulatory reporting while keeping facts traceable, controls visible, and human accountability clear.
Wangari Global was pleased to contribute to the discussion on AI in regulated reporting at Versicherungsforen Leipzig on 17 September 2026. In his session, “Would you let AI write your regulatory reports?”, Wangari Global’s founder Ari Joury explored a practical question for insurers: how can generative AI support reporting teams without weakening traceability, control, or professional accountability?
The session focused on the gap between AI that produces fluent language and AI that can be used responsibly in a regulated reporting process. In an SFCR, RSR, ORSA, or other regulated disclosure, a well-written sentence is not enough. Reporting owners need to be able to trace each material statement to an approved fact base, understand its definition and comparison basis, recover the supporting evidence, and identify the person responsible for reviewing and approving it.
The practical principle is this: approved facts should flow into text; text should never flow back into facts. AI can help teams prepare consistent first drafts, surface missing context, and give reviewers better questions to ask. It should not recalculate critical figures, introduce plausible but unapproved information, infer causality without evidence, or make materiality decisions on behalf of experts.
This approach reflects the way Wangari Global develops AI for regulated environments. Through etio, we help insurers structure and automate regulatory-reporting work while preserving the evidence trails, review steps, and human decisions that make reporting defensible. Rather than aiming for reports written autonomously by AI, we focus on workflows that help reporting, finance, actuarial, and risk teams spend less time searching across files and more time applying their judgement.
Thank you to Versicherungsforen Leipzig and to everyone who joined the conversation. The exchange made clear that insurers are moving beyond the question of whether to use AI. The more important question is how to introduce it in ways that are useful, reviewable, and accountable.
Read the full perspective: https://newsletter.wangari.global/p/would-you-let-ai-write-your-regulatory
Wangari Global was pleased to contribute to the discussion on AI in regulated reporting at Versicherungsforen Leipzig on 17 September 2026. In his session, “Would you let AI write your regulatory reports?”, Wangari Global’s founder Ari Joury explored a practical question for insurers: how can generative AI support reporting teams without weakening traceability, control, or professional accountability?
The session focused on the gap between AI that produces fluent language and AI that can be used responsibly in a regulated reporting process. In an SFCR, RSR, ORSA, or other regulated disclosure, a well-written sentence is not enough. Reporting owners need to be able to trace each material statement to an approved fact base, understand its definition and comparison basis, recover the supporting evidence, and identify the person responsible for reviewing and approving it.
The practical principle is this: approved facts should flow into text; text should never flow back into facts. AI can help teams prepare consistent first drafts, surface missing context, and give reviewers better questions to ask. It should not recalculate critical figures, introduce plausible but unapproved information, infer causality without evidence, or make materiality decisions on behalf of experts.
This approach reflects the way Wangari Global develops AI for regulated environments. Through etio, we help insurers structure and automate regulatory-reporting work while preserving the evidence trails, review steps, and human decisions that make reporting defensible. Rather than aiming for reports written autonomously by AI, we focus on workflows that help reporting, finance, actuarial, and risk teams spend less time searching across files and more time applying their judgement.
Thank you to Versicherungsforen Leipzig and to everyone who joined the conversation. The exchange made clear that insurers are moving beyond the question of whether to use AI. The more important question is how to introduce it in ways that are useful, reviewable, and accountable.
Read the full perspective: https://newsletter.wangari.global/p/would-you-let-ai-write-your-regulatory