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    CASE STUDIES · AI SUCCESS STORIES

    Real AI implementations,real measurable results.

    AI case studies and AI portfolio entries from CloudNSite client work. Healthcare, ecommerce, property management, and legal AI implementations with measurable ROI. Each AI success story documents the discovery, build, deployment, and operating outcomes so teams can compare practical AI use case examples.

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    Explore case studies organized by the type of challenge we helped solve

    5 Case Studies

    AI Automation

    Real examples of AI automation reducing manual work and accelerating operations.

    Reducing Manual Review in Medical Records Processing
    Internal Knowledge Search for a Professional Services Firm
    View Case Studies    4 deep architectures

    Built in-house at CloudNSite.

    The systems we run on ourselves before shipping them to clients. Cold email pipeline, self-learning ad ops, agent observability, agentic RAG.

    14-agent cold email pipeline, 1,400 sends a day
    Self-learning ad campaigns running every 24 hours
    Every tool call captured, retained, and replayable
    Agentic RAG across 40+ source connectors with RBAC
    Read the architectures

    AI implementation results

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    Built in-house at CloudNSite

    The systems we run on ourselves, documented end-to-end.

    Four deep architecture write-ups of the AI infrastructure CloudNSite built for itself before shipping it to clients. Every claim links to the system that produces it.

    Autonomous outbound

    A 14-agent cold email pipeline shipping 1,400 sends a day.

    Research, personalization, deliverability, and self-improvement loops. Every agent has a job, every send has a reason.

    Read the architecture    Self-learning ad ops

    An AI marketing agent that runs the loop, not the campaign.

    Hypothesis, execute, observe, learn, repeat. The loop runs every 24 hours inside hard guardrails and journals every decision.

    Read the architecture    Agent observability

    AI agent observability with every tool call on the record.

    Six fields per call, retained for replay. Seven memory layers, each with a job. A guard fires on every memory write.

    Read the architecture    Agentic RAG

    Agentic RAG that respects who is allowed to see what.

    Hybrid search and knowledge graph across 40+ source connectors. Permission-aware retrieval with an airgap option.

    Read the architecture

    AI use case examples

    Sample AI implementation, end-to-end.

    This AI automation example shows how an AI implementation example moves from discovery and workflow design into deployed operations with measurable outcomes.

    Healthcare

    Reducing Manual Review in Medical Records Processing

    Regional health plan processing 50,000+ claims monthly with a team of 25 claims adjusters reviewing medical documentation for coverage decisions.

    4 months from project start to production deployment

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    Average review time per claim reduced from 25 minutes to 8 minutes

    40% reduction in claims processing backlog within 90 days of deployment

    Adjuster team reallocated to complex cases requiring clinical judgment

    Error rate on data extraction below 3%, with all outputs verified by adjusters

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