Microsoft M365 & Azure for healthcare.
Senior-led advisory, engineering, and delivery for health systems modernizing on the Microsoft cloud — from the M365 workplace to Epic on Azure to the Fabric data platform.
Healthcare already runs on Microsoft. The infrastructure is following.
Microsoft is becoming healthcare’s AI platform.
Epic goes all-in on Azure
Epic’s public partnership with Microsoft — rare for Epic — anchors its next-generation analytics, Cogito Cloud, on Azure and Microsoft Fabric.
AI adoption at 2× the economy
Healthcare is deploying AI at more than twice the rate of the broader economy, and 92% of executives are investing in generative AI.
From batch to real time
Fabric’s lakehouse architecture moves Epic data from overnight batches toward hourly and near-real-time refresh.
Ambient AI in the clinic
DAX Copilot, Azure OpenAI, and FHIR-native data services are moving Microsoft from the back office to the point of care.
Epic Cogito is moving to Microsoft Fabric. Every Epic customer must respond.
Epic is rebuilding its entire analytics suite — Clarity, Caboodle, Cosmos, Nebula — as Cogito Cloud, a lakehouse architecture built on Azure and Microsoft Fabric.
Epic ends support for Oracle-based Cogito environments — migration to SQL Server on Azure or AWS is mandatory, not optional.
Epic plans to release all new data models only through Cogito Cloud — staying behind means losing access to what’s next.
Fabric replaces overnight batch ETL with hourly-to-near-real-time Epic data refresh, retiring brittle pipeline maintenance.
Health systems executing an enterprise Fabric strategy report multimillion-dollar annual savings from BI consolidation.
The strategic fork: implemented narrowly, Epic Fabric becomes another silo. Implemented well, it becomes the enterprise data platform.
55–70% of major implementations miss their objectives. The staffing model is why.
Senior partners win the deal, then delivery shifts to junior-heavy teams. We’re built the other way.
Large / global firm
- A-team sells, B-team delivers — junior-heavy pyramid.
- Generalists rotated across industries.
- Premium brand markup plus coordination overhead.
- Process-driven; slow to pivot; accountability diffused across tiers and time zones.
Chesapeake Systems
- Senior practitioners deliver end-to-end.
- Healthcare-only specialists — Microsoft MVP-caliber experts.
- 30–60% lower total cost for comparable scope.
- The person who scoped it builds it — direct partner access throughout.
What it looks like on the ground.
The clinical & administrative workplace
- Teams as the care hub — secure clinical messaging, virtual visits, and cross-department coordination replacing pagers and phone tag.
- Compliance by design — Purview governance, eDiscovery, and retention mapped to HIPAA and state privacy rules; Exchange under a Microsoft BAA as the baseline utility.
- Endpoint control — Intune and Entra ID securing clinician devices, shared workstations, and BYOD across facilities.
- Copilot productivity — drafting, summarization, and meeting recap with tenant-grounded data protection.
- Native security stack — organizations on integrated M365 security respond to incidents up to 75% faster than tool-sprawl environments.
From data center to cloud platform
- Data center exit — retiring aging data centers and VMware estates, migrating Epic and its 50+ surrounding apps to Azure with HCX and native tooling.
- Epic on Azure — the Cogito Cloud gravity well: patient-data proximity simplifies architecture and cuts egress costs.
- Compliance offload — HIPAA, HITRUST, and cyber-resilience controls centralized in Azure policy, shifting the security burden to Microsoft’s 34,000-person security organization.
- Elastic scale — M&A, divestitures, and seasonal demand absorbed with on-demand capacity instead of hardware procurement cycles.
The data lake unlocks machine learning & AI.
One lakehouse
OneLake consolidates EHR, finance, workforce, supply chain, and market data into a single governed platform.
Governed self-service
Fabric semantic models and Power BI replace fragmented tooling with analytics people can actually trust.
Azure ML on unified data
Readmission risk, throughput, staffing, and denials prediction — models grounded in the full picture.
AI on your own data
Azure OpenAI and agentic workflows grounded in the organization’s own clinical and operational data.
Operators, engineers, and PMs — one senior team.
The architect who scopes your migration is on the calls when it cuts over.
Advisory led by operators, not analysts
Cloud and data strategy, Epic-to-Fabric roadmaps, application rationalization, and business cases CFOs can defend — from advisors who have run the departments they now advise, embedded alongside your team as fractional leaders when needed.
Vendor-neutral AI governance
A vendor-neutral AI governance office: model inventory, clinical-AI assurance, post-deployment monitoring, and policy that satisfies boards and regulators. We hold no reseller quotas — recommendations are driven by your ROI, not our margin.
Deep technical talent
Microsoft MVP-caliber architects across M365, Azure, Fabric, and security — plus Epic, HL7/integration-engine, and VMware-migration engineers. Cogito/Clarity migrations, HCX data-center moves, and Fabric lakehouse builds — delivered, not just designed.
Project & project management
The failure data is unambiguous: implementations miss objectives on requirements, change management, and expectation gaps — all PM disciplines. Our senior PMs own scope, risk, and stakeholder alignment from day one.
See how this plays out on real projects.
Representative engagements across our four practices — the patterns, the outcomes, and the way we work.
The next 18 months are decisive.
The Cogito-to-Fabric shift, the 2027 Oracle deadline, and healthcare’s AI surge — every Epic customer must respond. Let’s make it the moment your data platform gets built right.