Our Generative AI solutions enable insurers to automatically ingest all documentation and data related to an insurance claim and accurately evaluate optimal settlement options tailored to the specifics of each case. Key capabilities that map to the top needs include: - Protector software to rapidly mask sensitive customer financial, medical, and legal data from external appraisals, healthcare reports, bank records etc while retaining critical information patterns - AI algorithms that mine details from stacks of paperwork and systems to reconstruct the claim event, uncover risk factors, and determine coverage eligibility. - Dynamic policy learning techniques that continually tune assessment rulesets to align with insurance regulatory standards as they evolve across regions. - Conversational interfaces allowing adjusters to easily validate or override AI-generated claim scenarios and payout recommendations for edge cases. By leveraging these solutions, insurers can dramatically compress cycle times by 45%, decrease loss adjustment expenses by 39%, and reduce manual oversight needed by over 60% based on benchmarks from early adopters. Tangible outcomes include superior customer experiences from faster claims resolution, reduced expenses through process automation, lowered loss ratios via continuous risk detection, and confidence in recommendation quality assurance adherence across the most complex documentation-intensive claims. In summary, our specialized AI and data processing capabilities purpose-built to securely ingest, comprehend, simulate, and advise based on massive volumes of heterogeneous insurance-related paperwork and systems unlocks immense value for insurers through claims assessment automation.

Why Mantel Group

Data Privacy and Compliance - Our proprietary synthetic data engines can rapidly mask sensitive personal information at scale vs relying on slow and often incomplete manual redaction techniques used by alternatives. This enables compliant dataset construction unlocking the full breadth of data to optimize assessments. Continuous Policy Alignment - We utilize breakthrough neural policy learning algorithms to dynamically tune recommendations to evolving regulatory standards in real-time. Legacy rules engines freeze static logic requiring disruptive rework. Automated Document Ingestion - Our intelligent OCR and comprehension engines can encode unstructured details from photos, PDFs, and scanned images into machine readable model inputs 10x faster than human review rates. This volume and velocity is unmatched. Insurance Specialization - With deep experience developing vertical-specific solutions for top carriers, we offer purpose-built algorithms, templates, and content tuned for insurance use cases vs generic alternatives lacking domain focus. These differentiated data and model capabilities tailored for document-intensive assessment processes combined with our insurance acumen makes us uniquely suited to help insurers successfully implement and scale AI for automated claims adjudication vs alternatives.

Our approach

Is to use ideation and discovery stages to create a roadmap that covers foundations, uplift and build. An iterative approach may be taken to accelerate use case delivery whilst addressing the other layers.

Step 1: Land - find the right problem to solve and find the right solution to solve, solving the POC problem:

Step 2: Stand - deliver the solution right & Train the team to maintain the solution:

Step 3 - Expand - focuses on refining the AI model based on user feedback

More details of our delivery solution can be found on our website

Getting started Upon placing an order, our Client Engagement team will contact you. You will receive an email confirming your order, identifying prerequisites for attendees and training schedule confirmation.