Zantaz

    AI Readiness Series

    Healthcare AI Readiness

    Prepare enterprise data for AI while reducing cost, risk, and unnecessary infrastructure.

    Healthcare organizations are investing aggressively in AI, but many are placing increasingly expensive workloads on top of fragmented, redundant, and poorly governed enterprise data.

    Zantaz Smart Stack 3.0 helps healthcare organizations identify the data worth using, reduce the data that creates unnecessary cost and risk, and make trusted information available to Epic, Microsoft, cloud, analytics, and AI environments.

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    The Healthcare AI Challenge

    Every AI strategy eventually becomes a data strategy. Healthcare organizations cannot meaningfully control AI consumption if they do not first control the information those workloads are repeatedly searching, processing, and governing.

    • Rapidly increasing token and compute consumption
    • Years of redundant, obsolete, and trivial data
    • Sensitive content across Microsoft 365 and file shares
    • Multiple cloud and data platform environments
    • Governance, security, and retention requirements
    • The cost and disruption of large scale migrations

    How do we give AI access to the right enterprise knowledge without moving everything, exposing everything, or paying to process everything?

    A Smarter Path To Healthcare AI

    Smart Stack 3.0 prepares enterprise information before it reaches an AI workload.

    It analyzes content across Microsoft 365 and the broader file share environment, identifies what is relevant, reduces unnecessary duplication, and makes trusted, AI-ready data available to the healthcare organization's preferred destination.

    Where that information lives today

    SharePoint
    Windows File Shares
    Exchange and Microsoft 365
    Teams

    That destination could include

    An Epic-aligned data environment
    Microsoft Fabric or OneLake
    Azure, AWS, or Google Cloud
    Databricks or Snowflake
    An enterprise data lake
    An approved AI or agentic application

    The organization retains its current systems and cloud strategy. Smart Stack provides a trusted data layer across them.

    Optimizing data for healthcare AI: chaotic legacy storage is refined by Smart Stack 3.0 into trusted data mirrored to Epic, Microsoft, and AI environments, lowering storage and compute costs

    Optimizing Data for Healthcare AI. Untrusted content enters the Trusted Data Refinery, ROT is removed, and only approved trusted data is mirrored to Epic, Microsoft, and AI environments. Lower existing storage costs and more efficient AI workloads.

    The Two-For-One Opportunity

    Get the data estate in order first, then every downstream AI workload becomes more efficient.

    1

    Reduce The Cost Of The Data You Already Have

    Identify redundant, obsolete, and trivial information, retire what no longer carries value, and gain real control over sensitive and unclassified content across the estate.

    2

    Reduce The Cost Of The AI You Are Building

    Agents and analytics workloads consume more compute every time they search disorganized data, so preparing it first lets them operate against a smaller and better governed body of information.

    A Trusted Data Layer Without A Migration

    Healthcare organizations should not have to complete a disruptive migration before they can use their own enterprise knowledge.

    Smart Stack 3.0 prepares relevant information where it already resides, then delivers only approved collections to the environments the organization has authorized. The result is a governed path from operational content to healthcare AI with no forklift migration and no commitment to a single cloud platform.

    Trusted Data Refinery

    Reads content in place, enriches metadata, classifies sensitivity, and separates the information worth using from the information that only adds cost.

    Trusted Data Archive

    Preserves communications and records in immutable, evidentiary form so retention and compliance obligations stay satisfied as enterprise AI access expands.

    Trusted Data Portal

    Controls what leaves the estate, mirroring only approved collections into the cloud, analytics, and AI destinations the organization has authorized.

    What This Enables

    • More relevant and dependable AI results
    • Lower storage, processing, and token costs
    • Better control over sensitive information
    • Faster access to enterprise knowledge
    • Governed connection to Epic-aligned environments
    • Flexibility across cloud, data, and AI platforms
    • A persistent, trusted source of knowledge
    • Defensible retention as AI access expands

    Three Questions For Healthcare Executives

    Before expanding AI across the enterprise, healthcare leaders should be able to answer three questions.

    1. 1What information are your AI workloads searching today?
    2. 2How much of that information is redundant, outdated, sensitive, or irrelevant?
    3. 3Are you paying AI to repeatedly process data that should have been prepared first?

    Smart Stack 3.0 helps healthcare organizations prepare their enterprise knowledge for AI at speed and scale, without forcing a migration or dictating where that data must ultimately live.

    AI-ready trusted data. Lower cost. Greater control. Faster healthcare innovation.

    The Healthcare AI Readiness Opportunity

    As health systems expand their use of AI, controlling consumption and cost is becoming an enterprise priority, and the cost problem starts with the data. If AI is searching years of redundant, outdated, and ungoverned information, the organization pays more and takes on more risk. Smart Stack prepares that data first, then makes the relevant information available to Epic, Microsoft, or the health system's preferred cloud and data platform without requiring a major migration.

    More industries in this series: AI Readiness Series overview