Evolving GraphQL: Designing APIs That Deliver Insights with Intelligent Resolvers

GraphQL transformed API design by enabling flexible and efficient data fetching. However, in many real-world systems, the data returned by APIs still requires additional processing and analysis before it becomes truly useful to users.

This session explores how GraphQL can evolve beyond a traditional data-fetching layer by incorporating intelligent capabilities directly into resolvers. By integrating AI into GraphQL workflows, APIs can deliver higher-level outputs such as summaries, recommendations, contextual insights, and natural-language-driven interactions — while still preserving GraphQL’s core strengths of structure, flexibility, and developer experience.

Through practical examples and architectural patterns, we’ll demonstrate how to design schemas that expose capabilities alongside data, integrate AI-powered resolver logic, and handle challenges such as latency, reliability, and cost.

Attendees will leave with a practical understanding of how GraphQL can become not just a query layer, but an intelligent interface for modern applications.