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    Secure GenAI Knowledge Assistant PoC Accelerator on AWS by Futuralis

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    Sold by: Futuralis 
    Move from AI idea to secure working knowledge assistant. Futuralis designs and builds a secure Amazon Bedrock-based PoC or internal knowledge assistant, assesses OpenAI-to-Bedrock migration options, and defines data sources, prompt flow, access controls, evaluation, and a production roadmap.

    Overview

    Move from AI idea to secure working knowledge assistant. The Futuralis Secure GenAI Knowledge Assistant PoC Accelerator on AWS helps organisations build a practical GenAI starting point that can move from proof of concept to a secure AWS-hosted production implementation.

    Futuralis designs and builds a secure Amazon Bedrock-based PoC or internal knowledge assistant, assesses OpenAI-to-Bedrock migration options where relevant, defines approved data sources, prompt flow, access controls, evaluation criteria, guardrails, and a production roadmap aligned to your security and governance requirements.

    Core deliverables include a working PoC or MVP, architecture diagram, security checklist, prompt flow design, access control model, OpenAI-to-Bedrock migration option assessment where applicable, handover documentation, and a production roadmap. Recommended next steps: Enterprise RAG Implementation, GenAI Applications and Chatbots, Secure GenAI Security Assessment. This professional service relates to Amazon Bedrock, Bedrock Agents, Knowledge Bases, Amazon SageMaker, Amazon S3, AWS Lambda, Amazon OpenSearch, AWS KMS, and Amazon CloudWatch.

    Highlights

    • Secure Amazon Bedrock-based knowledge assistant PoC or MVP — data source integration, prompt flow design, access controls, Bedrock Guardrails, evaluation criteria, and a production-ready architecture diagram.
    • OpenAI-to-Bedrock migration option assessment with a comparison of approaches, cost implications, and an implementation recommendation — so you choose the right foundation before committing to build.
    • Working PoC with security checklist, handover documentation, and a production roadmap giving your team a clear and governed path from prototype to deployed knowledge assistant.

    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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    Support

    Vendor support

    Futuralis provides dedicated support for all Secure GenAI Knowledge Assistant Accelerator engagements. Email: support@futuralis.com  Support URL: https://www.futuralis.com/support  Response time: within 1 business day. Support includes pre-purchase queries, engagement scheduling, PoC delivery questions, and post-engagement follow-up for up to 30 days after handover.