Arjis is a decision‑automation platform for regulated insurers, brokers, and financial institutions that extracts, structures, and analyzes data from existing systems across multiple formats. Users configure business rules via a no‑code interface, enabling auditable, rule‑based decisions with automatic escalation and optional human validation, all deployed on private cloud or on‑premise to ensure GDPR and sector‑specific compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Regulated insurers, brokers, and financial institutions rely on manual data processing and ad‑hoc decision making, which leads to high labor costs, compliance risk, and an inability to justify each decision to auditors or regulators.
Solution
Arjis provides a decision‑automation platform that extracts, structures, and analyzes data from existing business systems—such as CRM, policy administration, and document repositories—across multiple formats (PDF, email, structured files). Users configure business rules through a no‑code interface; the engine applies these rules to generate auditable decisions, automatically escalates exceptions, and routes cases for human validation when needed. All processing runs on the client’s private cloud or on‑premise infrastructure, ensuring data never leaves the organization and meeting GDPR and sector‑specific regulatory requirements. Every decision is fully traceable, with source data, rule execution logs, and reproducible audit trails available through integrated dashboards. Continuous performance monitoring and feedback loops allow rule sets to be refined over time, improving accuracy and operational efficiency.
Target Audience
Primary customers are insurance carriers, brokerage firms, and financial services organizations that must process high‑volume underwriting, claims, and compliance workflows while maintaining strict regulatory auditability.
Features
- Multi‑format data ingestion (PDF, email, structured documents) with connectors to existing CRM, policy, and database systems
- No‑code, parametrizable rule engine that encodes business criteria, thresholds, and regulatory requirements
- Automatic exception handling with configurable escalation paths and human‑in‑the‑loop validation
- End‑to‑end traceability: each decision is logged, sourced, and replayable for internal audits and regulator reviews
- Deployment on private cloud or on‑premise environments with zero data egress, end‑to‑end encryption, and granular access controls
- Real‑time dashboards for performance metrics, KPI monitoring, and trend detection based on verified data
- Continuous improvement loop that captures user feedback and adjusts rule parameters without code changes