Legacy CRM Modernized onto Dynamics 365 with an AI-Ready Foundation

Overview

How a North American medical transport association migrated its legacy Compass application to Microsoft Dynamics 365 on Azure through a discovery-led program, delivering a unified data model, a governed and AI-ready data architecture, and a full Medallion data lake.

Legacy CRM modernized onto Dynamics 365, with AI-ready data architecture and a full Medallion data lake.

This was a rebuild of the data foundation that member operations, reporting, and future AI depend on, not a lift-and-shift CRM swap.

A North American medical transport association needed to modernize its legacy Compass application while ensuring a seamless transition of business functionality and complex legacy data. The legacy CRM constrained the association's ability to standardize, scale, and govern its data, and compliance needs were outpacing the old model. Myridius led a discovery-driven migration to Microsoft Dynamics 365 on Azure, delivering a unified data model across core objects, a governed and AI-ready data architecture, and a full data lake built on Databricks using Medallion architecture.

Key Outcomes

Migrated to a single, extendable, high-performing CRM platform on Microsoft Dynamics 365, consolidating member operations without disrupting business functionality or complex legacy data.
Established a governed, AI-ready data architecture with role-based access control, auditability, and a data catalog, ready for downstream consumption and reporting.
Delivered a full data lake build on Databricks using Medallion architecture, creating a reusable foundation for reporting and future AI workloads.

The Challenge

The association's member operations ran on a legacy Compass application that had served the business but was increasingly difficult to modernize around. Moving forward meant migrating to a modern cloud-based enterprise platform while ensuring a seamless transition of business functionality and complex legacy data, a program with little room for disruption. It also meant going beyond the application itself: the future state required a standardized, scalable data architecture with optimized and normalized data models, along with robust integration, transformation, and data lineage capabilities, so that downstream teams could trust the data they consumed.

Status Quo and Desired State

Status Quo	Desired State
CRM capabilities anchored in a legacy application rather than a single modern platform.	A single, extendable, high-performing CRM platform built on Microsoft Dynamics 365.
Data architecture not designed for scalable downstream consumption or AI workloads.	A scalable, AI-ready data architecture for downstream data consumption and reporting.
Compliance and regulatory needs outpacing the legacy data model, with limited auditability and visibility.	A data model supporting RBAC, a governance framework with auditability, and a data catalog for visibility.
Inconsistent tooling for data loading, middleware, transformation, and lineage.	Standardized tools for data loading, middleware, transformation, and lineage across all data movement.

Transformation Goals

The program was guided by three north stars: modernize the CRM without disrupting member operations, build a governed data foundation that downstream teams can trust, and make that foundation ready for future AI and reporting from the start.

Operational control: Migrate member operations to a single, extendable, high-performing platform on Microsoft Dynamics 365 without losing business functionality or complex legacy data.

Governance and trust: Establish a governance framework with role-based access control, auditability, and a data catalog to meet compliance and regulatory needs.

AI readiness: Deliver a scalable, AI-ready data architecture and Medallion data lake so the association is ready for downstream consumption, reporting, and future AI workloads.

Myridius Solution Approach

Myridius approached the engagement as a data platform modernization rather than a CRM swap. The work began with a detailed discovery to design the future-state architecture and data platform capabilities, and to analyze which member operations data needed to move and how. From that operating picture, Myridius built the Azure foundation, executed the Dynamics 365 migration, and established the unified data model and governed data lake that downstream consumption depends on.

Orchestrated the foundation: Set up Azure infrastructure with proper DevOps pipelines for code migration, with Azure Data Factory providing data integration across the platform.

Embedded structure and trust into the data: Migrated member operations data to Microsoft Dynamics 365 based on the discovery analysis, and standardized a unified data model encompassing key objects such as Account, Contact, Product, and Asset, with robust integration, transformation, and data lineage capabilities supporting trusted downstream consumption.

Reimagined the operating model: Established a scalable, AI-ready data architecture and delivered a full data lake build on Databricks using Medallion architecture, giving the association a reusable foundation for downstream consumption, reporting, and future AI workloads.

Governance and Trust Layer

Because the association operates in a regulated healthcare and membership environment, governance was built into the architecture rather than added afterward. Myridius designed the data model to support role-based access control, established a governance framework with auditability, and added a data catalog for visibility, so compliance and regulatory requirements became properties of the architecture itself. Standardized integration, transformation, and lineage tooling across all data movement means downstream teams can trace and trust the data they consume, which is the foundation on which reliable reporting and future AI depend.

Measurable Impact

The transformation moved the association from a legacy application that was hard to extend to a modern, governed data platform built for what comes next. Outcomes show up across the CRM platform, the data architecture, and the data lake foundation, each reinforcing the others.

The result:

Migrated to an extendable, high-performing CRM platform on Microsoft Dynamics 365, consolidating member operations onto a single modern platform.
Established an AI-ready data architecture for downstream consumption and reporting, with a unified, normalized data model and standardized integration, transformation, and lineage tooling.
Delivered a full data lake build on Databricks using Medallion architecture, creating a governed foundation for reporting and future AI workloads.

Operational Transformation

Operational Area	Before Myridius	After Myridius
CRM Platform	A legacy application that was difficult to extend and modernize around.	A single, extendable, high-performing platform on Microsoft Dynamics 365.
Data Architecture	Data models not optimized for scalable downstream consumption.	A standardized, normalized, AI-ready architecture for consumption and reporting.
Governance and Compliance	Limited auditability and visibility against growing regulatory needs.	RBAC-ready data model, governance framework with auditability, and a data catalog.
Data Tooling	Inconsistent approaches to loading, middleware, transformation, and lineage.	Standardized tooling across all data movement, with lineage end to end.
Data Foundation	No reusable foundation for reporting or AI workloads.	A full Medallion data lake on Databricks, ready for reporting and future AI.

Technology Stack

Functional Area	Technologies Used	Business Purpose
CRM Platform	Microsoft Dynamics 365	Single, extendable, high-performing platform for member operations.
Cloud Infrastructure	Microsoft Azure with DevOps pipelines	Cloud foundation and controlled code migration.
Data Integration	Azure Data Factory	Integration across the platform with standardized data movement.
Data and Analytics	Databricks with Medallion architecture	Governed data lake foundation for reporting and future AI workloads.

Frequently Asked Questions

What did the migration to Dynamics 365 deliver?

The association moved member operations from a legacy Compass application to a single, extendable, high-performing CRM platform on Microsoft Dynamics 365. The migration was discovery-led, so business functionality and complex legacy data transitioned without disruption. Beyond the CRM itself, the program delivered a unified data model and a governed data foundation for downstream consumption.

What makes the new data architecture AI-ready?

Myridius established a scalable, normalized data architecture with standardized integration, transformation, and lineage, and delivered a full data lake on Databricks using Medallion architecture. This layered, governed foundation is designed for reliable downstream consumption and reporting, which is exactly what future AI workloads depend on. The association can build reporting and AI use cases from architecture that is already ready for them.

How does the solution meet compliance and governance needs?

Governance was built into the architecture. The data model supports role-based access control, a governance framework provides auditability, and a data catalog delivers visibility across the data estate. Standardized lineage tooling across all data movement lets downstream teams trace and trust the data they consume, meeting compliance and regulatory requirements as a property of the design rather than an afterthought.

How was complex legacy data migrated without disruption?

The engagement began with a detailed discovery to design the future-state architecture and to analyze which member operations data needed to move and how. Migration to Dynamics 365 was executed based on that analysis, with Azure Data Factory handling integration and DevOps pipelines controlling code migration. This discovery-led approach protected business functionality and the integrity of complex legacy data through the transition.

A Trusted Data Foundation as a Membership Advantage

For a membership organization, the systems behind member operations are only as useful as the data they can be trusted to hold, and a legacy platform quietly caps how far reporting, compliance, and AI ambitions can go. This case shows how a discovery-led migration to Dynamics 365, paired with a unified data model and a governed Medallion data lake, can replace that cap with a foundation: every downstream team consuming data it can trust, and every future AI use case starting from architecture that is already ready for it.

This was not a lift-and-shift CRM swap. It was a rebuild of the data foundation that member operations, reporting, and future AI depend on.

What's Next

If your organization runs critical operations on a legacy platform and needs to modernize without disrupting business functionality or losing trust in complex legacy data, Myridius can help you design and execute the discovery-led migration and governed data architecture that make the move safe and the foundation AI-ready.

Talk to a Myridius expert and send us a message at Contact Myridius.