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    NeenOpal Generative & Agentic AI Consulting Services

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    Sold by: NeenOpal 
    NeenOpal professional services for Generative and Agentic AI on AWS. AWS AI Services Competency partner delivering strategy, development, and deployment with Amazon Bedrock and SageMaker.

    Overview

    NeenOpal Generative & Agentic AI Professional Services on AWS

    NeenOpal is an AWS Advanced Tier Services Partner with the AWS AI Services Competency - a validation that demonstrates proven ability to deliver production-ready AI solutions on AWS. Our team of AWS-certified AI specialists guides you through the entire lifecycle of Generative AI and Agentic AI - from strategy and ideation through deployment, optimization, and ongoing management.


    Typical Engagement Phases

    Phase 1: Discovery & Strategy (Weeks 1-2)

    • Free 30-minute initial consultation to assess your AI readiness
    • AI opportunity assessment and use-case prioritization workshop
    • Deliverable: AI roadmap document with recommended architecture, AWS services, and success metrics

    Phase 2: Proof of Concept & Development (Weeks 3-6)

    • Rapid prototyping of your highest-priority AI use case
    • Custom AI agent development or LLM integration using Amazon Bedrock, Amazon SageMaker, or Amazon Q
    • Prompt engineering and model fine-tuning with your proprietary data
    • Deliverable: Working prototype with performance benchmarks and architecture documentation

    Phase 3: Production Deployment & Optimization (Weeks 7-10)

    • Production-grade deployment on AWS infrastructure (Lambda, EKS, EC2, S3)
    • Security hardening, monitoring setup via Amazon CloudWatch, and cost optimization
    • Deliverable: Deployed solution, deployment runbook, and operational handoff documentation

    Phase 4: Ongoing Support & Optimization (Post-deployment)

    • Performance monitoring and continuous model improvement
    • Cost management using AWS Cost Explorer
    • Knowledge transfer and team enablement

    What We Build

    • Generative AI Solutions: Content generation, document summarization, code assistance, and dynamic content creation powered by Amazon Bedrock foundation models
    • Autonomous AI Agents: Intelligent agents that automate complex multi-step workflows, improve decision-making, and integrate with enterprise knowledge via Amazon Q
    • LLM Integration & Fine-tuning: Custom model deployment and domain-specific fine-tuning within Amazon SageMaker for superior accuracy on your data
    • AI Governance Frameworks: Responsible AI practices aligned with the AWS Well-Architected Framework, ensuring fairness, transparency, and compliance

    Example Use Case: Financial Services Document Processing

    A financial services organization needed to automate the review and extraction of key data from thousands of regulatory documents. NeenOpal deployed an agentic AI solution using Amazon Bedrock and AWS Step Functions that automated document classification, entity extraction, and compliance flagging - reducing manual review effort and accelerating processing turnaround while maintaining audit trails through Amazon CloudWatch and S3.


    Prerequisites & Scope

    Buyer responsibilities:

    • Active AWS account with appropriate IAM permissions
    • Designated project owner or technical point of contact
    • Access to relevant data sources for model training or fine-tuning

    What is included:

    • All phases above, tailored to your scope and complexity
    • Architecture design, development, deployment, and documentation
    • Knowledge transfer sessions for your internal team

    What is excluded:

    • Ongoing AWS infrastructure costs (compute, storage, API calls)
    • Third-party model licensing fees outside Amazon Bedrock
    • Data labeling or annotation services

    Why NeenOpal

    • AWS AI Services Competency Partner - validated by AWS for production AI delivery
    • FTR-Validated Solutions - meeting AWS Foundational Technical Review standards for security and reliability
    • Data & Analytics and SaaS Competency holder with multiple AWS Service Deliveries
    • End-to-end ownership - from strategy through production with clear deliverables at every phase

    Get Started

    Schedule a free 30-minute consultation with our AWS-certified AI specialists to assess your AI readiness and define your Generative and Agentic AI roadmap. Contact us at aws_marketplace@neenopal.com  to begin.

    Highlights

    • AWS AI Services Competency Partner with FTR-validated solutions - NeenOpal is recognized by AWS for proven delivery of production-ready Generative and Agentic AI solutions. Our team holds multiple AWS certifications and competencies including Data & Analytics and SaaS, providing validated expertise that generic AI consultancies cannot match.
    • Structured engagement model with clear deliverables at every phase - from a free 30-minute discovery call through AI roadmap delivery (weeks 1-2), working prototype on Amazon Bedrock or SageMaker (weeks 3-6), and production deployment with runbook and handoff documentation (weeks 7-10). Buyers receive tangible artifacts, not open-ended consulting.
    • End-to-end AI lifecycle coverage on AWS - strategy, custom AI agent development, LLM fine-tuning, prompt engineering, deployment on Amazon Bedrock, SageMaker, Lambda, and Step Functions, plus ongoing optimization and cost management. Includes AI governance frameworks aligned with the AWS Well-Architected Framework.

    Details

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    Support

    Vendor support

    Post-Engagement Support

    NeenOpal provides ongoing support for all Generative and Agentic AI solutions deployed through our engagements. Contact our team at aws_marketplace@neenopal.com  for any issues including troubleshooting, optimization requests, or engagement inquiries.

    Engagement Structure

    Typical engagements follow a phased approach:

    • Discovery & Strategy (Weeks 1-2): AI readiness assessment and roadmap delivery
    • Development & Prototyping (Weeks 3-6): Working prototype with architecture documentation
    • Production Deployment (Weeks 7-10): Deployed solution with runbook and operational handoff
    • Ongoing Support (Post-deployment): Performance monitoring, optimization, and knowledge transfer

    Buyer Responsibilities

    • Active AWS account with appropriate IAM permissions
    • Designated project owner or technical point of contact on your team
    • Access to relevant data sources for model training or integration

    Handoff Artifacts

    At engagement completion, your team receives: deployed solution, architecture documentation, deployment runbook, monitoring dashboards, and knowledge transfer sessions. Your team owns ongoing AWS infrastructure costs post-handoff.

    About NeenOpal

    NeenOpal Inc. is an AWS Advanced Tier Services Differentiated Partner holding the AWS AI Services Competency, Data & Analytics Competency, and SaaS Competency with multiple AWS Service Deliveries and FTR-validated solutions.

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