In recent years, we’ve witnessed the transformative impact of artificial intelligence (AI) on various aspects of our lives. From self-driving cars to personalized recommendations, AI has woven itself into the fabric of modern society. Many of us are familiar with the use of visual AI in Motor and Home insurance claims, but it is in the realm of Document AI, particularly in pet claims, where in the pursuit of helping insurers re-imagine claims and create the zero-touch claim, that the consulting team at Claim Technology has found a promising frontier for end-to-end automation. To harness the true potential of AI in this domain, it’s imperative that AI not only extracts and classifies data but also makes intelligent decisions and mitigates against fraud.
The journey to AI-powered pet claims automation doesn’t happen in isolation. It’s a collaborative effort, and several innovative insurtech companies are at the forefront of this transformation. These partnerships are shaping the future of pet expense reimbursement claims, redefining how insurers and pet owners interact in this digital age.
Paperbox.ai, for instance, is connecting AI directly to email inboxes, removing some of the manual processes for reviewing inbound emails. With this integration, AI can swiftly identify which documents have been attached to emails and automate the process of notifying customers about missing documentation.
Cortical.io’s advanced semantics layer steps in to provide intelligent data classification, mapping specific treatments to precise loss codes. This level of classification accuracy ensures that claims are processed swiftly and accurately, reducing discrepancies and improving overall efficiency.
Meanwhile, Sprout.ai brings automation to the forefront of decision-making in pet expense reimbursement claims. By automating decisions on extracted data, Sprout.ai ensures that claims are processed consistently and in line with policy terms. This not only accelerates the claims process but also enhances accuracy and minimizes human error.
Optalitix takes the extracted data and applies business rules modeled in Excel with remarkable precision. This ensures that claims are processed in accordance with the insurer’s specific requirements and policies.
In situations where a more custom-defined AI solution is required, Experzo’s team boasts two Kaggle masters enabling the development of tailored AI solutions to meet unique challenges in the pet claims space. Their incorporation of generative AI allows for checks that aren’t available within traditional OCR extraction by asking critical questions of the data, such as determining whether an invoice covers more than one pet and which of the pets are covered by the policy.
Whilst use of the AI above will help determine the correct payout line by line, the ability to instantly make a claims payout assumes that there is no outright or exaggerated fraud. Whilst
document AI can help identify where vets may be re-charging for an entire box of disposable gloves as opposed to the handful they actually used, real-time solutions such as Attestiv can identify tampering or deep fakes, Resistant.ai can identify where the photographed document
itself and not the image has been manipulated, and market-participant solutions such as Blockfrauds can identify whether the same voice or a variation of that image has been used in connection with a claim with another insurer.
In conclusion, the potential for AI to automate expense reimbursement claims is promising and are paving the way for a future where pet owners can expect to see instant resolution of their claim, whilst helping insurers to mitigate indemnity costs by being able to more effectively scrutinise expenses that are currently being paid but which should be more effectively challenged.
