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Case Study · 90 days
Healthcare: +38% patient engagement
Measured over 90 days in a live client deployment: +38% patient engagement, +25% appointment bookings, 45% less reporting time and 20% lower outreach costs. The client’s name is withheld at their request. Results are specific to this deployment and are not a benchmark, forecast or guarantee.
Context
Multi-specialty healthcare provider network · 120 employees · United States · patient-care services with referral and appointment funnels.
Challenge
The client had low patient engagement, rising outreach costs, inconsistent communications, limited prioritization and slow manual reporting.
Applied work
The work covered patient prioritization, appointment reminders, governed messaging, outreach optimization and unified reporting across GA4, HubSpot, EHR and campaign data.
Measured outcomes
+38% patient engagement · +25% appointment bookings · 45% reduction in reporting time · 20% lower outreach costs.
Evidence & compliance boundary
The deployment used governed workflows and healthcare-specific controls, but this page is not an independent compliance audit. Results were measured over 90 days in one client deployment. This page therefore does not claim blanket HIPAA compliance. Applicable privacy, security and regulatory obligations must be validated per deployment.
HOW TO READ THIS CASE
Measured results through the mAI operating model
This case reports results from one live client deployment. The stated context and measured outcomes remain the evidence boundary; the mAI operating model below provides a consistent way to inspect how the work maps to marketing operations without extending those results.
PLAN
Define the operating problem, business context, constraints, baseline and KPI contract.
EXECUTE
Apply the deployment’s workflows, channels, content, scoring or integrations under human oversight.
MEASURE
Read the measured metrics against the stated window and the stated limitations.
OPTIMIZE
Use measured signals to refine approved actions without treating deployment-specific results as universal benchmarks.
P² EVIDENCE VIEW
Productivity + Precision
Productivity signals include operating effort, reporting time, workflow speed or automation coverage when the deployment measured them. Precision signals use the business KPI measured in this case. Neither dimension should be generalized beyond the evidence provided.
HUMAN COMMAND
Governed interpretation
Strategy, audiences, budgets, brand-critical content, privacy, compliance and material policy decisions remain subject to defined human approval. Evidence classification and claim boundaries are part of that governance layer.
EVIDENCE STATUS
This page is a case study from a live client deployment. Its outcomes were measured in that deployment, and the client’s name is withheld at their request. Read the results with the stated context and boundaries, not as a forecast or guarantee.
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