[2026-Q2] Support AI-assisted design and development in Equinor 🤖

🔬 Spike completed: the most appropriate technical approach for AI-assisted EDS integration investigated and a decision made – MCP server, CLI, or alternative

🛠️ MVP built and deployed: a working solution that enables AI tools to query EDS components, tokens, and guidelines accurately

🧪 MVP validated: confirmed working with at least one AI-assisted tool (e.g. Claude Code) in a real design or development workflow

📖 Usage documented: a guide published for the EDS team and product teams on how to use the solution in their AI-assisted workflows

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[2026-Q2] Support AI-assisted design and development in Equinor 🤖

🔍 Technical Spike: Research & Analyse AI Integration Options

🛠️ Build and deploy an MVP for AI-assisted EDS integration

🧪 Validate the MVP with at least one AI-assisted tool

📚 Write User Documentation for AI‑assisted EDS Integration

🧱 Define API / Schema for AI‑Queryable EDS Data

🛠 Implement MVP for AI‑assisted EDS Integration

🔌 Deploy MVP for Internal Use

✅ Perform Full Validation Testing

📝 Document Findings from Validation

📘 Publish Technical Decision Document for AI-assisted tool

EDS + AI Guidelines — Best Practices for Designers & Developers

Alignment EDS & Accelerated AI Foundation

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