ManyPets Deploys AI for End-to-End Claims Automation in Pet Insurance
Monday, March 23rd, 2026 Insurance Industry Risk Management Technology UnderwritingManyPets is accelerating the use of artificial intelligence across its claims workflow, routing all claims through AI-driven assessment systems. The insurer relies on multiple interconnected models that review invoices, detect duplicates, and apply policy rules with limited human intervention. For claims adjusters, this reflects a broader shift toward automated triage and decision support, where structured data and machine learning reduce manual review time while increasing consistency in claim outcomes.
The company is also integrating AI earlier in the customer journey. Tools such as symptom checkers and virtual consultations aim to guide policyholders before a claim is filed, potentially reducing unnecessary veterinary visits. This pre-claims engagement introduces a new layer of risk management, where claim frequency and severity may be influenced upstream. Adjusters may see fewer low-severity claims but more complex, data-rich submissions that require oversight of AI-generated decisions.
Global market dynamics remain uneven. Pet insurance penetration varies widely, with Sweden near 70%, the UK around 30‑35% for dogs, and the US lagging at 2‑3%. This gap signals growth potential but also operational challenges as insurers scale claims infrastructure across different regulatory and cost environments. For adjusters, this means adapting to varying standards in documentation, pricing, and treatment practices across jurisdictions.
Rising veterinary costs are a key driver behind increased demand for coverage. Costs are outpacing general inflation, pushing more pet owners toward insurance as protection against large, unpredictable expenses. This trend may lead to higher claim severity and increased scrutiny of billing practices. AI tools that validate invoices and flag anomalies could become central to managing loss ratios, but they also raise questions about transparency, auditability, and the role of human oversight in claims decisions.
