The problem
The company was launching a telehealth business on a startup budget. The customer experience lived across WordPress and WooCommerce (self-hosted in Azure), Shopify, Squarespace, and JotForm—each strong at its job, none designed to share a single operational backbone. Leadership wanted Microsoft 365, SharePoint, Teams, Power Automate, and Power Apps as the low-code center of gravity: fewer custom apps, faster changes, and a platform staff already knew how to extend.
The catch was familiar to anyone who has bet on a single vendor for automation: Power Automate excelled at Microsoft-native workflows and HIPAA-sensitive data transport, but lacked native connectors for several non-Microsoft services the business depended on. A pure “Microsoft only” design would block launch; a pure Zapier stack would sidestep the governance model the startup needed for patient-related data.
Initial state
OWCER mapped the real topology—not the architecture diagram the startup hoped would exist on day one.
- Split stack — M365 as the intended operational backend; WordPress/WooCommerce, Shopify, Squarespace, and JotForm HIPAA on the customer and intake edge
- Connector gaps — critical SaaS events had no first-class Power Automate connector; early experiments stalled on custom API work the team could not sustain
- Trust boundaries — patient-related and internal operational data needed Microsoft-controlled paths; marketing and commerce tools needed fast iteration without rewriting compliance rules each sprint
- Low-code ambition, integration reality — Power Apps and SharePoint could model operations quickly, but only if data actually flowed between systems reliably
Transformation
- Hybrid automation architecture — Power Automate for Microsoft services and HIPAA-bound transport; Zapier for non-Microsoft SaaS connectors where native gaps would have forced brittle custom code
- Cross-boundary orchestration — flows designed to invoke across the boundary in both directions: Power Automate calling Zapier when a Microsoft workflow needed an external action, and Zapier calling back into Power Automate when external events needed governed handling inside M365
- M365 operational core — SharePoint and Teams for internal coordination; Power Automate for approvals and routing; Power Apps where operational screens needed more than out-of-box lists
- Pragmatic integration discipline — each connector choice documented by data sensitivity and change frequency, not vendor loyalty—the same decision frame teams now apply when Copilot sits beside other AI platforms
Outcomes
- Production telehealth platform on low code — a working multi-cloud operating model without an enterprise integration team standing behind every vendor API
- Right tool per boundary — Microsoft stack retained for regulated internal workflows; specialized integrators handled the long tail of SaaS connectors Power Automate did not cover natively
- Sustainable change velocity — business users could extend flows and apps as offers and intake processes evolved, instead of waiting on custom development for each new connection
- Repeatable pattern — the same “Microsoft where governance demands it, best-of-breed connectors elsewhere” approach applies as organizations add Copilot alongside other AI tools with low switching cost when teams know how to capture what each platform generates
“We wanted one low-code backbone, but our customers lived in WordPress, Shopify, and a dozen other tools. Splitting automation by trust boundary—not by religion—is what made the platform real.”
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