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    cloudEQ AI Foundations

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    Sold by: cloudEQ 
    cloudEQ helps organizations govern, build, and adopt AI Foundations on AWS: from responsible AI guardrails and secure account governance to production-grade generative and agentic AI applications and organization-wide adoption.

    Overview

    Overview AI initiatives stall for the same reasons cloud initiatives used to: unclear ownership, ungoverned data, and no path from pilot to production. cloudEQ brings a structured, AWS-aligned approach, built around the same three pillars AWS uses to evaluate AI Competency partners, so your organization can govern AI responsibly, build it right the first time, and drive adoption across the business.

    **1. Governance **

    Before you build, you need guardrails. cloudEQ establishes secure AWS account governance, IAM and identity best practices, data privacy and encryption policies, and responsible AI controls so every AI workload is secure, compliant, and auditable from day one.

    • Secure AWS account setup, least-privilege IAM, and identity federation
    • Data privacy, encryption, and compliance frameworks for AI workloads
    • Responsible AI guardrails: bias mitigation, safety controls, human-in-the-loop review (Amazon Bedrock Guardrails, SageMaker Clarify)
    • Cost modeling and TCO analysis to keep AI spend predictable as usage scales

    **2. Application Build **

    cloudEQ designs, builds, and deploys generative and agentic AI applications on AWS, from foundation model selection through production launch.

    • Foundation model selection and customization (Amazon Bedrock, SageMaker JumpStart)
    • RAG, fine-tuning, and prompt engineering built around your data
    • Agentic AI implementation using AWS-compatible frameworks (Strands, LangGraph) and interoperability protocols (MCP, A2A)
    • CI/CD, monitoring, and re-training pipelines to keep models production-ready

    **** 3. Adoption ****

    Technology isn't the hard part; adoption is. cloudEQ evaluates your organization's AI readiness and builds a roadmap and enablement plan that fits how your teams work, then stays on to keep it delivering value after launch.

    • AI maturity assessment and readiness evaluation
    • Use-case identification, roadmap, and features backlog
    • Team enablement and organizational change management
    • Post-launch support, monitoring, and continuous improvement

    Highlights

    • Structured around AWS's own AI Competency framework: Governance, Application Build, and Adoption
    • Responsible, secure AI by design, not bolted on after launch
    • A clear path from pilot to production-grade, adopted AI

    Details

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    Delivery method

    Deployed on AWS
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    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    For pricing or more information, please contact us at info@cloudeq.com .