Riskbotix Insights
Insights into how brokers, MGAs, insurers and coverholders can use AI and automation to improve insurance processes — while maintaining appropriate controls, security and human oversight.
A practical perspective
AI creates the most value when it is applied to a clearly defined business problem. Riskbotix Insights looks at practical insurance workflows, the controls required around them and where automation can — and cannot — sensibly support insurance professionals.
Our focus is on practical implementation rather than AI for its own sake.
Automation with defined boundaries
Latest topics
AI & Insurance
A practical look at identifying the insurance processes best suited to automation, defining clear boundaries and keeping professional judgement with the people responsible for it.
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Security & Data
What insurance businesses should consider when AI systems handle customer information, including data security, access, suppliers, integrations, retention and operational controls.
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Governance
AI does not need unrestricted freedom to be useful. We look at approved information, defined boundaries, escalation, testing and human oversight.
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Customer Experience
Where AI voice receptionists can add genuine value in insurance — and where a caller should still be transferred or escalated to an insurance professional.
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Claims
AI can capture and structure loss information without deciding coverage, liability or settlement. We examine where automation fits into a controlled FNOL process.
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AI Strategy
The best first AI project is usually a defined operational problem rather than a company-wide transformation programme. Here is how to identify a sensible place to begin.
Read ArticlePractical insurance automation
If there is a repetitive, information-heavy process taking up your team's time, we can help you assess whether it is a sensible candidate for automation — and where the appropriate controls and human oversight should sit.
