
Streamline Bordereaux Management with
Extract, Normalize & Validate Bordereaux Data for Seamless Reporting
Recognised By
How Does Bordereaux Automation Benefit You?
data processing
standardization
costs
Modernize Key Stages of Bordereaux Management with
Use Cases
Intelligent Bordereaux Ingestion & Validation
Automate the ingestion and validation of bordereaux files to ensure data accuracy and integrity.
- Automatically ingest data from Excel and CSVs with one time mapping configuration
- Auto-detects and corrects formatting inconsistencies, reducing manual intervention by up to 80%
- Enables seamless bulk file uploads for MGAs & TPAs, with validation rules applied in real-time
Automated Data Standardization & Transformation
Convert disparate bordereaux formats into a unified structure for seamless processing.
- Reduces manual intervention by up to 80%
- Enforces underwriting guidelines, contractual terms, and regulatory compliance
- Centralizes data dictionaries and bordereaux templates, reducing onboarding time and manual data mapping efforts
Portfolio Insights & Reporting
Ensure accurate policy issuance and regulatory compliance with AI-powered Real-time dashboards and analytics for better risk assessment and decision-making.
- Generate real-time, customized insights on portfolio performance and risk exposure
- Automate detailed reports to fulfill business needs and regulatory requirements
- Use predictive insights to forecast risks and enhance decision-making
Why Choose Dociphi?
AI-Driven Mapping & Validation
Ensure accurate data mapping and validation with Al-powered automation, reducing manual effort and errors
Supports Custom MGA Bordereaux Templates
Al-powered auto-mapping streamlines ingestion, standardization, and compliance, reducing processing time by over 80%
Real-Time Dashboards & Insights
Gain instant visibility into key metrics, anomalies, and trends for smarter decision-making
Effortless Integration
Seamlessly connect with existing systems and workflows, ensuring a smooth and hassle-free adoption

