Amazon Bedrock · Anthropic Claude · Your AWS environment

Build secure generative AI solutions with Claude on AWS

SwedQ helps organizations move generative AI from idea to production using Amazon Bedrock and Anthropic Claude inside their existing AWS environment, with the security, governance and cost control that enterprise workloads need.

From readiness to production

Practical implementation work across the full lifecycle of a generative AI use case.

  • Use-case and readiness assessment

    Prioritize use cases by business value, data availability, risk and effort, and confirm what your AWS environment needs before a build starts.

  • Secure AWS architecture

    Design Amazon Bedrock workloads inside your AWS accounts with private networking, encryption and clear separation between environments.

  • RAG and internal knowledge assistants

    Ground Claude responses in your own documents and systems with retrieval-augmented generation, access-aware search and source references.

  • Document processing

    Extract, classify and summarize contracts, forms, reports and correspondence, with review steps where accuracy matters.

  • AI assistants and agentic workflows

    Build assistants that call approved tools and APIs to complete multi-step tasks, with explicit limits on what they are allowed to do.

  • Integration with existing applications and data

    Connect generative AI to existing applications, data platforms and identity providers rather than creating a separate silo.

  • IAM, logging and governance

    Apply least-privilege IAM, invocation logging, data-handling policies and audit trails that fit your security and compliance requirements.

  • Evaluation, hallucination testing and human oversight

    Define test sets and quality criteria, measure factual accuracy and keep people in the loop for decisions that need human judgment.

  • Cost and performance monitoring

    Track token usage, latency and cost per use case so model choice, caching and prompt design can be tuned with real data.

  • Moving from proof of concept to production

    Turn a working prototype into an operated service with CI/CD, monitoring, incident handling and a clear ownership model.

How SwedQ works with Claude

SwedQ helps organizations evaluate, implement and operate generative AI solutions using Anthropic Claude through Amazon Bedrock within their existing AWS environment.

Frequently asked questions

Why use Claude through Amazon Bedrock?

Amazon Bedrock lets you use Anthropic Claude models through your existing AWS accounts, with AWS identity, networking, logging and billing. That keeps generative AI inside the controls your organization already uses for other AWS workloads.

How is our data handled?

Data handling depends on the selected AWS services, model, region, architecture and configuration. SwedQ helps organizations review access controls, logging, data flows and applicable provider terms before implementation. The final architecture and compliance assessment remain specific to each customer’s requirements.

Which models, features and regions are available?

Available models, features and data-residency options vary by AWS Region and selected service. These are confirmed during solution design.

Do we need a finished data platform first?

Not necessarily. Many first use cases work with a well-scoped set of documents or a single system. The readiness assessment identifies which data is good enough to start with and what should be improved later.

How do you reduce hallucinations?

By grounding answers in approved sources, constraining what the model may answer, testing against evaluation sets before release and keeping human review for high-impact outputs. No approach removes the risk entirely, so it is measured and monitored.

How do we start?

Share your use case through the contact form. A senior SwedQ specialist will help scope a discovery conversation. No AWS credentials or account access are needed at this stage.

Discuss your generative AI use case

Describe the process or question you want to improve. A senior SwedQ specialist can help scope a useful discovery conversation. No AWS credentials or account access are needed.