Case Study: Embedding Axuall’s Provider Intelligence Directly Into Salesforce

How Axuall Built a Scalable, AI-Ready Salesforce Integration With Zaghop Consulting

‍

Zaghop Consulting partnered with Axuall to design a Salesforce-native integration platform built for long-term scale, flexibility, and intelligence, not just initial data ingestion.

Rather than treating Salesforce as a downstream sync target, the solution was architected to make Salesforce a first-class execution surface for Axuall’s provider intelligence-where data can be reviewed, trusted, automated, and acted upon.

At the core of the solution is a metadata-driven ingestion and processing framework that allows Axuall to support highly complex provider data across many customer Salesforce orgs-without hardcoding assumptions about object models, field names, or workflows.

‍

Deeply Configurable, Metadata-Driven Architecture

‍

Axuall’s data spans dozens of provider domains and continues to evolve. To avoid brittle integrations, Zaghop implemented a configuration-first design using Custom Metadata and Custom Settings as the control plane.

This allows Axuall to:

  • Define JSON-to-Salesforce mappings entirely in metadata

  • Support different Salesforce objects per customer (or per data domain)

  • Version and activate mappings safely over time

  • Roll forward or back without code changes

  • Eliminate hardcoded field references in Apex

Every major data ingestion path-licenses, education, employment, board certifications, monitoring, disclosures, malpractice, payer enrollment, and more-follows the same reusable ingestion pattern, dramatically reducing maintenance risk.

‍

Verified Share Import Engine Built for Real-World Data

‍

The Verified Share import engine was designed to handle deeply nested, inconsistent, and multi-source healthcare data while still producing clean, reportable Salesforce records.

Key characteristics of the engine include:

  • Dynamic JSON key construction to support verified, attested, and meta data blocks

  • Field-type-safe assignment logic centralized in reusable helper utilities

  • Fallback logic when customer-specific mappings are not present

  • Support for mapping multiple JSON sections into a single Salesforce object

  • Shared mapping layers for cross-cutting fields (e.g., license metadata)

This approach ensures Axuall can expand data coverage without re-architecting the platform.

‍

Identity Resolution & Continuity-Based Matching

‍

A major risk in provider data integrations is record sprawl. To solve this, Zaghop implemented a multi-layer identity and continuity framework that determines when records should be updated versus inserted.

In addition to deterministic identifiers (NPI, license numbers, DEA/CDS, board cert IDs), the platform derives continuity identifiers when external IDs are unavailable.

Examples include:

  • Work history and affiliations: institution + start date

  • Training records: institution + training type

  • Peer references: name + organization

  • Board certifications: board name + ID number + NPI

This allows Axuall data to enhance existing Salesforce records instead of duplicating them, preserving trust in reporting and automation.

‍

Scalable Async Processing & Monitoring

‍

To support both large initial imports and ongoing compliance monitoring, the platform includes a robust async architecture using:

  • Batch Apex for high-volume processing

  • Queueables for orchestration and chaining

  • Scheduled jobs for ongoing monitoring refreshes

  • Incremental processing based on last successful runs

The system was carefully designed to respect Salesforce governor limits (DML, heap, callouts) while remaining resilient in async execution contexts.

‍

Admin-Friendly Salesforce UX

‍

Beyond backend architecture, Zaghop delivered Salesforce-native UX components to make the platform usable by real teams.

These include:

  • Lightning Web Components for mapping configuration

  • Embedded Adverse Findings reports

  • Artifact viewing and download experiences

  • Multi-step clinician invitation workflows

Admins can configure behavior without code, and end users interact with Axuall data directly inside their daily Salesforce workflows.

‍

AI-Ready by Intent, Not Retrofit

‍

Throughout the build, the architecture was intentionally designed to support future AI and agent-driven workflows.

By standardizing ingestion patterns, normalizing identity resolution, and structuring data cleanly in Salesforce, Axuall is now positioned to support:

  • AI-assisted change detection

  • Confidence-based match scoring

  • Agentforce-driven next-best actions

  • Intelligent alerts for compliance and risk

This ensures Axuall’s Salesforce integration is not just scalable-but future-proof.

‍

Conclusion

‍

This integration demonstrates how Salesforce can evolve from a simple system of record into a true operational platform for complex industry data. By combining a metadata-driven architecture, intelligent identity resolution, and scalable async processing, Axuall now has a Salesforce foundation that can adapt as provider data sources, customer requirements, and automation capabilities continue to expand. The result is not just a reliable integration, but a flexible platform that allows provider intelligence to be trusted, operationalized, and ultimately leveraged by the next generation of AI-driven workflows.

‍

Let's Talk