Claude Enterprise Implementation Services

Claude provides the intelligence. Feathersoft engineers the last mile.

We connect Claude and Claude Code to your applications, data, codebases and workflows. Every deployment ships with the architecture, security and governance needed for production. Your pilots become secure, measurable enterprise workflows, not one more demo.

Our Services

We help you go from people simply having Claude access to Claude doing governed work inside your systems. It reads only what each user is allowed to see, uses approved tools, and asks for approval before sensitive actions.

  1. Documents, databases and cloud sources connected to an MCP server

    Knowledge & MCP
    Integrations

    We connect Claude to approved documents, databases, CRMs, ticketing systems, internal APIs and legacy applications. We do it through MCP servers and well-defined tools, so answers come from your real context and respect existing permissions.

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  2. Workflow steps: search, reason, run a tool and approve

    Agentic
    Workflows

    We build workflows where Claude gathers context, reasons, calls tools and prepares outputs. It pauses for human approval before sensitive steps. You decide what it can read, what it can do, and what is off-limits.

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  3. Claude Code terminal analysing a repo, running tests and marking it ready for review

    Claude Code for Engineering Teams

    We configure Claude Code around your repositories, coding standards, IDEs and CI/CD pipelines. That includes shared settings, hooks, skills, approved plugins and team policies. Developers get consistent, secure help that follows how your team already ships software.

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  4. Shield marked verified secure and fully protected

    Security &
    Governance

    We set up SSO, SCIM, role-based access, sandboxing, connector and action policies, data protection, audit logging and monitoring. Users never gain access to information just because they can ask an AI for it.

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  5. Deployment options: Anthropic, Amazon Bedrock, Microsoft Foundry and Google Vertex AI

    Deployment
    Architecture

    We recommend a deployment based on your requirements: Anthropic-managed Claude Enterprise, Amazon Bedrock, Google Cloud Vertex AI, Microsoft Foundry, or a governed API gateway. The choice depends on your cloud commitments, data residency, retention and compliance needs.

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  6. Line chart of scientific pipeline results

    Life Sciences &
    Scientific Workflows

    We expose your validated pipelines, notebooks, Python, R and command-line tools to Claude as controlled tools and reusable skills. Researchers get a conversational, agentic layer on top. Your pipeline stays the source of computational truth, and your data stays in your environment.

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From Pilot to Production

A successful POC is not production. We build the technical, security and operating foundation first, prove value on one measurable workflow, then scale.

 

  1. Assess & Define

    Pick the target workflow, set success metrics, and map data, access and compliance needs.

  2. Architect & Secure

    Choose the deployment model. Set up identity, network, policies, sandboxing and audit.

  3. Integrate & Configure

    Connect systems through MCP and APIs. Configure skills, hooks and Claude Code standards.

  4. Pilot & Measure

    Enable a pilot group, capture baseline metrics, and confirm value, cost and reliability.

  5. Scale & Optimize

    Roll out what worked, and manage seats, spend, adoption and policy as usage grows.

Why Choose Us?

Production-First Engineering

We plan architecture, testing, monitoring, failure handling and maintainability from day one, not after the demo.

Integration Expertise

We focus on the last mile between AI and the apps, APIs, data and codebases where your work already happens.

Security by Design

Identity, permissions, data boundaries, action controls and human approval are architecture requirements from the start.

Measured Adoption

We measure success by cycle time, effort, quality, cost and developer productivity, not by how many seats are deployed.

Cloud-Flexible Architecture

We work with your existing investments in Anthropic, AWS, Google Cloud, Microsoft or a direct API.

Enablement & Support

After go-live, we provide hands-on training, admin handover, and ongoing tuning as Claude and your needs evolve.

Ready to explore a bit further?
Bring Us One
Workflow.

You don't need an enterprise-wide AI transformation to start. Bring us one workflow. Together we'll assess the baseline, data, integrations, architecture and controls, then prove measurable value before you expand.