Erni Mededovic

Principal Voice Ai Solutions Architect @Integris Group

Roseville, CA, US
MOBILE NUMBERS
+19•••••••46

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WORK HISTORY

Mar 2026 — Present

Principal Voice Ai Solutions Architect @Integris Group

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Working on the architecture and strategic introduction of AI driven voice and automation capabilities in large scale healthcare operations.The focus of this engagement is helping operational teams safely introduce AI assisted workflows across contact center and service environments while maintaining strong human oversight, operational reliability, and regulatory alignment.Areas of focus include AI assisted call handling, operational decision support, and the broader integration of voice and AI technologies into mission critical healthcare services.

EDUCATION

N/A

Universität Osnabrück

Business Administration Training

N/A

University of Phoenix

Bachelor’s Degree

SKILLS

Software DevelopmentCicAmazon Web Services (Aws)System DeploymentAtmel AvrIntegrationBashGenesys FrameworkJavaBirtCrystal ReportsSqlRequirements AnalysisCloud ComputingHyperionVxmlJasper ReportsTestingEnterprise SoftwareJenkinsMysqlSdlcGvpNuanceSalesforce.comGwtC#.netAgile Methodologies

ABOUT ERNI MEDEDOVIC

Twenty years in enterprise voice and automation teaches you to look past the technology. The real problems are almost always upstream of it. Fragmented ownership across teams. Requirements that were never clearly defined. Workflows that were broken before AI was ever introduced. Vendors selected before anyone asked the right questions. These are the things that determine whether a project succeeds or fails. Not the platform. Not the model. The organizations that get this right do one thing differently. They define the structure, the ownership, and the decision logic before anyone touches a platform. Not after. I call this compartmentalization orchestration. Build in isolated, replaceable components, each with a defined role. Orchestrate them toward a single outcome. Never let one piece hold the whole system hostage. Currently focused on AI systems architecture and vendor evaluation in enterprise healthcare operations. I write about AI decision-making, system design, and what actually separates deployments that work from the ones that quietly fall apart. If this sounds like the situation your organization is navigating, feel free to reach out.

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