Cloud Modernization Delivers Reliability and Trust at Scale

Overview

A Cloud-First, AI-Accelerated Transformation on Azure

A national medical specialty board relied on brittle, on-premises systems to support its NCCA-accredited certification process, creating cost, security, and agility pressure as its strategic goals evolved. Deprecated platform components raised security exposure, the absence of a comprehensive data strategy limited actionable insight, and extended development cycles slowed physician experience improvements. Myridius delivered a comprehensive cloud transformation on Microsoft Azure, paired with AI-accelerated software engineering powered by Claude Opus, Claude Sonnet, and Claude Haiku under human-in-the-loop validation gates.

Key Outcomes

99.9 percent uptime and a 35 percent cut in infrastructure maintenance costs.
Real-time, trusted data supporting more than 15 KPIs, with testing maintenance overhead cut 200-fold and strengthened NCCA accreditation readiness.
Administrative overhead reduced 40 percent and development velocity increased 25 percent.

Client Context

When Systems Carry the Weight of a Credential

The client is a national medical specialty board responsible for certifying physicians through an NCCA-accredited process. For an organization of this kind, the systems behind certification are not back-office infrastructure. They carry the trust that physicians and the public place in the credential itself. Reliability, data integrity, and auditability are therefore operational necessities rather than conveniences, and any weakness in the underlying technology translates directly into risk to accreditation standing and stakeholder confidence. As the board's strategic goals evolved, its aging on-premises environment increasingly stood in the way of both.

The Challenge

Brittle Infrastructure Under a Regulated Process

The board's on-premises systems kept its certification process running, but they were brittle and expensive to maintain, and deprecated platform components created real security exposure. Without a comprehensive data strategy, the organization could not turn its own information into actionable insight for stakeholders, and extended development cycles slowed improvements to the physician experience. None of this stopped the board from meeting its certification obligations, but at the scale of a national accrediting body, the cumulative effect was rising operational risk and mounting pressure on its NCCA accreditation readiness.

Status Quo and Desired State

Status Quo	Desired State
Core applications running on brittle, on-premises infrastructure with limited interoperability.	Core applications migrated to Azure with a modern services layer for improved interoperability.
No comprehensive data strategy, limiting actionable insight for stakeholders.	A Trusted Data Foundation with robust governance, quality controls, and enhanced access patterns.
Limited system reliability and disaster recovery, with high maintenance overhead.	Improved operational resilience, stronger disaster recovery, and reduced maintenance burden.
Legacy reporting systems with no self-service analytics for stakeholders.	Legacy reporting retired in favor of advanced, self-service analytics.

Transformation Goals

What Success Looked Like

The program was guided by a clear set of north stars: restore reliability and security to the systems behind certification, turn the board's data into trusted, self-service insight, and accelerate delivery without compromising the compliance a regulated accreditation process demands.

Reliability and cost reduction: Move core applications to a resilient cloud foundation with automated disaster recovery, reducing operational risk and maintenance cost.
Trust and governance: Establish a Trusted Data Foundation with governance and quality controls so stakeholders can access real-time, self-service insight.
Speed and AI readiness: Accelerate software delivery through AI-assisted engineering under human validation gates, without weakening certification standards.

Myridius Solution Approach

A Full Transformation, Not a Lift-and-Shift

Myridius approached the engagement as a full transformation of the board's technology foundation rather than a narrow lift-and-shift migration. The work began with Microsoft Azure's Well-Architected Framework to guide performance, security, and scalability decisions across the environment. From that foundation, Myridius paired the cloud migration with AI-accelerated software engineering practices, powered by Claude Opus, Claude Sonnet, and Claude Haiku, enforced by human-in-the-loop validation gates to protect regulatory compliance throughout delivery.

Orchestrated the foundation: Executed a lift-and-shift migration of core applications to Azure under the Well-Architected Framework, and deployed Azure Data Lake and a modernized data warehouse with Azure Data Factory for ETL orchestration, establishing data quality and governance protocols.
Embedded intelligence into the workflow: Implemented Microsoft Synapse Analytics and Power BI to replace legacy reporting, delivering real-time insights, advanced data science capabilities, and self-service dashboards for administrators and physicians, and migrated and optimized SQL Server databases to Azure SQL for improved query performance.
Reimagined the operating model: Embedded Claude Opus, Claude Sonnet (via Claude Code and GitHub Copilot), and Claude Haiku across the development lifecycle to speed up coding, testing, and documentation, integrated with automated Azure DevOps pipelines to accelerate delivery velocity.

Governance and Trust

Governance Engineered Into Delivery

Because certification decisions carry regulatory weight, governance was engineered into the delivery process rather than reviewed at the end. AI-assisted development ran under a dual-human-gate review structure, ensuring that no AI-generated change reached production without human validation, which safeguarded certification standards throughout the build. The cloud migration was paired with Azure Security Center and data quality frameworks to protect compliance, and strengthened data governance and audit trails directly reinforced the board's NCCA accreditation readiness. The result is a foundation where speed and compliance advance together.

Measurable Impact

Reliability, Data Access, and Speed Rising Together

What began as a cloud migration became a broader reset of how the board runs its certification operations. Reliability, data access, and delivery speed improved together, and each gain reinforced the others: a more resilient cloud foundation made trusted data possible, and trusted data made faster, self-service decision-making possible.

The result:

System reliability reached 99.9 percent uptime with automated disaster recovery, while cloud-native architecture and legacy system retirement cut infrastructure maintenance costs by 35 percent.
Real-time access to trusted data now supports more than 15 key performance indicators, testing maintenance overhead dropped 200-fold versus the legacy Selenium framework, and strengthened data governance and audit trails reinforced NCCA accreditation readiness.
Self-service reporting reduced administrative overhead by 40 percent and improved stakeholder satisfaction, while automated DevOps pipelines and Claude-assisted development increased delivery velocity by 25 percent.

Operational Transformation

Before and After the Shift

Operational Area	Before Myridius	After Myridius
Infrastructure	On-premises, brittle infrastructure with high maintenance costs.	Cloud-native Azure infrastructure with 99.9 percent uptime and automated disaster recovery.
Data and Reporting	Fragmented legacy reporting with no self-service access.	Trusted Data Foundation with real-time, self-service analytics via Synapse and Power BI.
Software Delivery	Manual development cycles limiting delivery speed.	AI-accelerated development with Claude models and automated DevOps pipelines, 25 percent faster.
Testing	Selenium-based testing with high maintenance overhead.	TestRigor-based testing, cutting maintenance overhead 200-fold.
Governance and Compliance	Limited governance and audit trail capability.	Strengthened data governance, security controls, and NCCA accreditation readiness.

Technology Stack

The Tools Behind It

Functional Area	Technologies Used	Business Purpose
Core Platform	Microsoft Azure on the Azure Well-Architected Framework	Resilient, secure, scalable cloud foundation for certification operations.
Data and Integration	Azure Data Lake, Azure SQL, Azure Data Factory, Trusted Data Foundation	Governed, high-quality data with orchestrated ETL and improved query performance.
Analytics	Microsoft Synapse Analytics, Power BI	Real-time, self-service analytics replacing legacy reporting.
AI and Engineering	Claude Opus, Claude Sonnet (via Claude Code and GitHub Copilot), Claude Haiku, M365 Copilot, TestRigor	AI-accelerated coding, testing, and documentation under human validation.
Delivery	Azure DevOps	Automated pipelines that increase delivery velocity.
Security and Governance	Azure Security Center, Data Quality Framework	Compliance protection, audit trails, and accreditation readiness.

Frequently Asked Questions

What reliability and cost improvements did the cloud migration deliver?

The board reached 99.9 percent system uptime with automated disaster recovery and cut infrastructure maintenance costs by 35 percent. Those gains came from migrating core applications to Azure under the Well-Architected Framework and retiring legacy systems. Delivery velocity also rose 25 percent through automated DevOps pipelines and AI-assisted development.

How was AI used in the engineering process without risking compliance?

Claude Opus, Claude Sonnet, and Claude Haiku accelerated coding, testing, and documentation across the development lifecycle, integrated through Claude Code and GitHub Copilot. Every AI-assisted change passed through a dual-human-gate review structure, so no AI-generated code reached production without human validation. This protected certification standards while still speeding delivery.

How does this strengthen NCCA accreditation readiness?

The modernization established a Trusted Data Foundation with robust governance, quality controls, and audit trails, and paired the migration with Azure Security Center for security compliance. Together these give the board the data integrity, traceability, and reliability that a regulated accreditation process depends on. Real-time access to more than 15 KPIs also improves oversight.

What changed for stakeholders like administrators and physicians?

Legacy reporting was replaced with self-service analytics through Microsoft Synapse Analytics and Power BI, giving administrators and physicians real-time insight without waiting on manual reports. This reduced administrative overhead by 40 percent and improved stakeholder satisfaction. Testing maintenance overhead also dropped 200-fold after moving from Selenium to TestRigor.

Trust as the Foundation of National Certification

For a national certifying body, the systems behind accreditation are not back-office infrastructure. They are part of the trust every physician places in the certification process. When those systems age past their limits, that trust comes under pressure from security exposure, slow decisions, and processes stakeholders cannot see into. This case shows how a cloud-first, AI-accelerated transformation can rebuild that foundation, restoring reliability and insight while strengthening the governance a regulated accreditation process demands. This was not a server migration. It was a rebuild of the trust infrastructure behind national certification.

What's Next

If your organization runs regulated, accreditation-dependent operations on aging on-premises systems, Myridius can help you build a cloud foundation that restores reliability and delivers real-time insight without compromising compliance or stakeholder trust.

Talk to a Myridius expert and send us a message.