AI gateway Claude Code

The project introduces a future-ready platform for distributing and governing Claude Code across a large enterprise environment. Rather than treating AI-assisted development as a standalone tool, it transforms it into a measurable, observable and centrally managed capability available to more than 500 eligible developers. At its core is a dedicated LLM Gateway, currently connected to AWS and designed to support additional providers, including GCP. This flexible architecture reduces dependency on a single technology stack and prepares the organisation for a rapidly evolving AI market. New models and providers can be introduced behind one common access layer while maintaining consistent governance, monitoring and user management. A key differentiator is full observability. Every interaction is captured in Langfuse, creating transparency into how AI is used, by whom and at what cost. Developers can review their own activity, while leaders gain access to administrative dashboards for user management, adoption analysis, consumption monitoring and team-level insights. The integration with JIRA connects AI usage directly with real development work. Interactions can be linked to specific tickets, making it possible to evaluate AI not only through prompts or token consumption, but also through delivery-related indicators such as cycle time, throughput, complexity and cost. This creates a foundation for evidence-based efficiency measurement. The organization can identify where AI delivers the greatest value, which teams benefit most and where further education or process improvements are needed. The platform combines innovation with control. It gives developers access to advanced AI coding capabilities while providing the organization with oversight of users, models, costs and interactions. It is not only a Claude Code distribution solution, but a forward-looking foundation for transparent, accountable and measurable AI-assisted software engineering.

-Enterprise-scale availability: more than 500 developers are eligible to use Claude Code through a centrally managed platform. -Full traceability: every interaction can be monitored in Langfuse, supporting auditability, troubleshooting, usage analysis, and governance. -Transparent efficiency tracking: integration with JIRA connects AI activity to specific development tasks, enabling the organization to assess where AI supports delivery and where it creates the greatest value. -Centralized cost and usage management: user and administrative dashboards provide visibility into adoption, activity, model usage, and costs. -Controlled access: leaders can manage users and access through dedicated administration capabilities. -Provider flexibility: the LLM Gateway reduces dependency on a single model provider and creates a path to integrate additional platforms, including GCP. -Responsible AI adoption: the solution combines the speed and productivity benefits of coding assistants with the control, transparency, and accountability required in a large enterprise.

All SDLC - related roles in the organization + users that need Claude Code for work

Because we are building something that is not available as a ready-made public solution today. We combined Claude Code, a provider-flexible LLM Gateway, full observability and JIRA-based efficiency tracking into one enterprise platform.