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    GenAI Launchpad: AI Adoption Professional Services

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    As an AWS Advanced Partner, we specialize in AI-driven transformation, helping businesses accelerate innovation, optimize operations, and unlock new opportunities with Amazon Web Services (AWS). Our Professional Services for AI provide end-to-end support—from strategy and development to deployment and scaling—ensuring you maximize the value of AWS AI/ML services.

    Overview

    As an AWS Advanced Partner, we deliver comprehensive AI Professional Services designed to help organizations harness the full power of Amazon Web Services (AWS) for AI-driven transformation. Whether you're in healthcare, financial services, retail, or the public sector, our AWS AI/ML Professional Services empower you to stay ahead in the age of AI

    Our end-to-end solutions cover:

    1. AI Strategy & Roadmap – Align AI initiatives with business goals using frameworks like the CloudMile Gen AI Adoption Framework.
    2. AI Development & Deployment – Build, train, and deploy models with Amazon SageMaker, Bedrock, and Lex.
    3. Scaling & Optimization – Ensure performance, security, and cost-efficiency with AWS Well-Architected best practices.

    This ensures seamless integration with AWS AI/ML services such as Amazon SageMaker, Bedrock, Lex, and Rekognition.

    During implementation, we guide clients through a proven adoption framework to maximize ROI and minimize risk:

    1. Discover
    • Identify executive sponsors and high-impact use cases.
    • Assess technical feasibility and define success metrics (e.g., cost reduction, accuracy gains).
    1. Pilot
    • Execute low-risk, high-value pilots (e.g., generative AI workflows, predictive analytics).
    • Measure outcomes like time savings and user satisfaction.
    1. Refine
    • Optimize based on user feedback and performance data.
    • Prepare for production scaling with MLOps and governance.
    1. Scale
    • Deploy successful models enterprise-wide.
    • Foster adoption through training, change management, and continuous improvement.

    Whether you're looking to build generative AI applications, predictive analytics models, agentic workflows or intelligent automation, our certified AWS experts provide tailored guidance to align with your business goals, technical requirements, and compliance needs.

    Our services include AI/ML model development, MLOps implementation, data engineering, agentic workflow development and cloud-native AI architecture design, all optimized for performance, security, and cost-efficiency.

    We specialize in large language models (LLMs), computer vision, natural language processing (NLP), agentic workflows and recommendation engines, helping you unlock actionable insights from your data. With deep expertise in AWS Well-Architected Framework best practices, we ensure your AI solutions are scalable, resilient, and future-proof. From proof of concept (PoC) to production, we reduce time-to-value and mitigate risks, enabling faster innovation and measurable ROI.

    Partner with us to automate workflows, enhance customer experiences, and drive data-led decision-making—all while leveraging AWS’s secure, compliant, and high-performance cloud infrastructure.

    Highlights

    • 1. End-to-End AI/ML Expertise From strategy to scaling, we provide full-cycle AI support ensuring seamless deployment of generative AI, LLMs, and predictive analytics tailored to your business needs.
    • 2. AWS-Optimized Performance & Cost Efficiency Leverage our deep AWS Advanced Partner expertise to build high-performance, secure, and cost-effective AI solutions using Amazon SageMaker, Bedrock, and more, aligned with Well-Architected Framework best practices.
    • 3. Industry-Specific AI Transformation Accelerate use-case-driven results for your sectorwith proven frameworks that reduce risk and maximize ROI.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    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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