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    AI At Scale

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    Sopra Steria enables enterprises to industrialize Artificial Intelligence on AWS — from strategic assessment and model selection to production deployment and ongoing governance. As an AWS Advanced Consulting Partner with the AI Competency, we provide end-to-end Generative AI services leveraging Amazon Bedrock, Amazon SageMaker, and Amazon Textract. Our approach covers the full AI lifecycle: maturity evaluation, use case identification, foundation model selection and customization, secure architecture design, production launch, and responsible AI compliance (EU AI Act). With proven references in transport, insurance, fintech, and real estate, our teams deliver measurable business outcomes — up to 95% reduction in processing time and significant cost savings — while ensuring governance, security, and regulatory compliance at every stage.

    Overview

    Sopra Steria enables enterprises to industrialize Artificial Intelligence on AWS — from strategic assessment and model selection to production deployment and ongoing governance.

    As an AWS Advanced Consulting Partner with the AI Competency and a key investor in Confiance.ai (the French national programme for trustworthy AI), we bring deep expertise in deploying AI responsibly at scale. Our "AI At Scale" offering covers the complete Generative AI lifecycle on AWS:

    Phase 1 — Scoping Needs

    • AI maturity evaluation and strategic vision building
    • Use case identification and prioritization
    • Market studies and competitive analysis
    • Ethics and EU AI Act compliance assessment

    Phase 2 — Study & Design

    • Foundation model selection (licensing, cost, performance, latency, context window, fine-tuning capability)
    • Architecture design leveraging Amazon Bedrock, Amazon SageMaker, Amazon Textract, AWS Lambda, Amazon S3, and Amazon API Gateway
    • Security and data governance framework (GenAI Security Ground Rules)
    • Proof of concept and pilot delivery

    Phase 3 — Build & Run

    • Industrial AI lifecycle: training pipeline + deployment pipeline
    • Production launch with monitoring (Amazon CloudWatch), observability, and alerting
    • Responsible AI controls: Bedrock Guardrails, bias detection, explainability
    • Ongoing maintenance, model lifecycle management, and continuous improvement

    AWS Services Leveraged: Amazon Bedrock (Anthropic Claude, Amazon models), Amazon SageMaker, Amazon Textract, AWS Lambda, Amazon S3, Amazon API Gateway, Amazon CloudWatch, AWS KMS, AWS IAM, Amazon SES, Amazon SQS, Amazon EKS/ECS, Amazon DocumentDB.

    Proven Results:

    • 95% reduction in document processing time (rail transport)
    • 85–90% reduction in manual data entry (real estate)
    • 99% automation rate for email data extraction (fintech)
    • Significant improvement in fraud detection accuracy (insurance)
    • EU AI Act compliance advisory and implementation

    Our team includes certified AWS architects, data scientists, AI experts, and project managers with 1,250+ AWS certifications across the organization.

    Highlights

    • End-to-end Generative AI on AWS: from maturity assessment and foundation model selection (Amazon Bedrock, SageMaker) to production deployment and ongoing governance. Our structured three-phase approach (Scoping, Design, Build & Run) ensures your AI project delivers measurable business value while maintaining full control over costs, security, and compliance.
    • Responsible AI and EU AI Act compliance built in: as a key investor in Confiance.ai and holder of the AWS AI Competency, we embed trustworthiness at every stage — explainability, robustness, bias detection, Bedrock Guardrails, and comprehensive security controls (GenAI Security Ground Rules). Your AI deployment meets regulatory requirements from day one.
    • Proven at scale across industries: transport (95% time reduction), insurance (fraud detection accuracy improvement), fintech (99% automation), and real estate (€2M/year savings). We bring several validated customer references with production-grade AWS GenAI solutions and 1,250+ AWS certifications to every engagement.

    Details

    Delivery method

    Deployed on AWS
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