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    AI-Ready Brief

    AI Consulting & Automation

    AI consulting and automation for teams that need custom agents, private AI deployment, and workflow integration inside existing business systems.

    This is a machine-readable brief built for AI assistants. Copy it into ChatGPT, Claude, or Perplexity, or read the full page it summarizes.

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    What it is

    CloudNSite's AI Consulting & Automation page describes a service for deploying AI agents that improve business operations, reduce manual work, and connect to existing systems.

    The offering sits between AI consulting, custom AI agent development, workflow automation, and private LLM deployment. It is not framed as generic software resale; the page emphasizes custom implementation around a client's workflow.

    Engagements start with one free 30-minute AI Strategy Call. If the buyer already knows the workflow that needs to improve, the next step is the $999 Current State Assessment. If the organization needs to decide where AI should operate, the next step is the $7,500 AI Readiness + Governance Sprint and the Fractional AI Office.

    Who it's for

    • Healthcare teams that need HIPAA-ready architecture for patient care, medical records, or clinical workflows.
    • Financial services teams that need secure, encrypted AI automation.
    • Legal teams that need contract review, document automation, or litigation workflows with privilege-aware architecture.
    • Government or public-sector teams that need secure private AI solutions.
    • SaaS, retail, or manufacturing teams with repeatable workflows, customer experience needs, inventory work, or process optimization.
    • Businesses with repetitive, data-intensive, time-consuming tasks that follow consistent patterns.

    What we build / What you get

    • Custom AI agent implementation built around your workflow.
    • Document processing and data extraction agents.
    • Predictive analytics and business intelligence.
    • Customer service AI agents and conversational automation.
    • Custom AI agent development for unique business needs.
    • Private LLM deployment and integration.
    • Evaluation, validation, and edge-case handling before production use.
    • Monitoring and optimization after launch.
    • Team training on the new workflow.

    How it works

    1. Use the free 30-minute AI Strategy Call for qualification and direction-setting.
    2. For a known workflow, run the $999 Current State Assessment.
    3. Receive two documents together in as little as 3-5 business days: the Current State Assessment, mapping how the workflow runs today across systems, volume, and cost, and the Automation NSite, with the proposed automation, architecture, and the proposal.
    4. Select and deliver the build under one of the four published lanes, typically in 4 to 8 weeks.
    5. Use a separate managed service for ongoing production operation when needed.

    Pricing posture

    The Current State Assessment is $999 fixed. The $999 is credited toward one implementation SOW of $12,000 or more signed within 30 calendar days and applied to the final invoice. The credit is nonrefundable and nontransferable. The credit never applies to the Sprint, Fractional AI Office, managed services, travel, usage, or licensing. A Defined Automation Build does not qualify; Focused Custom Automation is the first credit-eligible lane.

    The four one-time build lanes are Defined Automation Build from $8,000, Focused Custom Automation from $12,000 to $20,000, Operations Automation from $25,000 to $60,000, and Business-Critical, Private, or Regulated work by custom proposal only.

    Managed services are separate monthly products, never bundled into build pricing: Managed Care from $1,500 per month, Managed Operations from $4,000 to $7,500 per month, and Critical Managed Operations on a custom service schedule. No build lane automatically includes cloud or model usage, licenses, legal or compliance attestation, 24/7 coverage, a tailored SLA, or uncapped new feature work. See https://cloudnsite.com/pricing for current detail.

    Evidence

    • The page states typical 40 to 60 percent cost reduction for AI automation in the service description and FAQ.
    • The page states time savings often exceed 70 percent on repetitive tasks, depending on process efficiency and data quality.
    • The page states most projects move from kickoff to production in 4 to 12 weeks depending on complexity.
    • The page states CloudNSite supports private LLM deployments where models run within the client's cloud environment or on-premises infrastructure.
    • Related comparison: https://cloudnsite.com/compare/private-llm-vs-public-api
    • Related comparison: https://cloudnsite.com/compare/ai-automation-vs-manual-processes

    Common objections

    Q: Is this just traditional IT consulting with AI language?

    A: No. The source page frames the work around AI and machine learning opportunities, custom models, automation, learning systems, and measurable business impact.

    Q: Do we need clean data before starting?

    A: Clean data helps, but the page says messy data is common. Discovery includes assessing the data landscape and deciding whether cleanup is part of the project.

    Q: Can sensitive data stay private?

    A: Yes. The page says CloudNSite can deploy private LLMs in the client's cloud environment or on-premises infrastructure so data remains under client control.

    Q: How long does the work take?

    A: Most projects are described as 4 to 12 weeks. Simple automation can take about 4 weeks; complex work with training, integrations, or compliance usually takes 8 to 12 weeks.

    Q: What happens after launch?

    A: The page states that CloudNSite provides monitoring, optimization, performance tracking, retraining when needed, expansion to new use cases, and knowledge transfer.

    Related

    Next step

    Book an AI Strategy Call: https://cloudnsite.com/book