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Integrations, APIs & Data Pipelines

Reliable integrations across insurance platforms — with clear data contracts, field-level mapping, exception handling, and robust interface monitoring.

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Resilient Data Fabrics

Eliminating Data Friction Across Core Insurance Systems

We engineer deterministic data pipelines and API contracts that prevent payload drops, schema mismatches, and downstream ledger reconciliation failures.

Connecting modern digital front-ends, rating portals, and Dynamics 365 CRM to legacy policy administration (PAS), claims repositories, and accounting ledgers requires meticulous technical discipline. Perigon provides comprehensive API specifications, field-level transformation mapping, error-handling protocols, and continuous interface monitoring across Azure Data Factory, SQL Server, and enterprise service buses.

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Integration Assurance Standards

We build robust middleware architectures designed for operational resilience:

Unambiguous JSON/XML data contracts and field validation rules
Dead-letter queueing, idempotent retries & automated alert routing
High-performance Azure Data Factory (ADF) & SQL ETL pipelines
End-to-end payload encryption & secure vendor release governance
Core Capabilities

End-to-End API & Pipeline Engineering

Architected for insurers, MGAs, and brokers needing high-throughput synchronization across distributed platforms.

API Specs & Mapping

Field-level transformation rules and clear data contracts ensuring consistent communication between disparate platforms.

  • OpenAPI/Swagger specs & schema design
  • Field mapping sheets with mandatory validation
  • Error payload codes & exception taxonomy
  • REST, GraphQL & webhook architectures

Data Pipelines & Monitoring

Scalable ETL and real-time streaming pipelines with proactive monitoring to track data throughput and health.

  • Azure Data Factory (ADF) & SSIS integration
  • SQL Server stored procedures & views
  • Interface monitoring & automated failure alerts
  • High-volume batch & near real-time sync

Vendor & Environment Release

Coordinated environment access, configuration tracking, and multi-vendor release alignment for safe go-lives.

  • Multi-vendor environment & token coordination
  • End-to-end integration test harness suites
  • Deployment runbooks & ALM release gating
  • Audit trails for data in flight & at rest
Data Flow Architecture

Our 4-Stage Integration Pipeline Lifecycle

How we structure, execute, and monitor reliable data movement across complex insurance environments.

Stage 01

Contract Specification

Establishing granular field mappings, data types, mandatory rules, and error-handling scenarios across all source and target systems.

Stage 02

Pipeline Engineering

Building Azure Service Bus topics, Data Factory pipelines, and secure API endpoints configured for high-availability throughput.

Stage 03

Integration & Failure Testing

Running automated schema validation, negative payload tests, latency benchmarks, and controlled exception recovery scenarios.

Stage 04

Monitoring & Telemetry

Deploying proactive telemetry dashboards, dead-letter monitoring, and audit log generation for post-launch operational stability.

Next Step

Build Robust, Audit-Ready Integrations

Tell us about your core platforms, API dependencies, or data pipeline challenges. We'll provide a clear technical approach and delivery roadmap.

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