How IdeaBot drives AI innovation workflows on OpenShift

Summary

Red Hat’s emerging technologies team built IdeaBot, an AI-enabled SaaS platform on OpenShift that automates innovation workflows from initial concept to a standardized idea report. The platform guides users through four stages—discovery, research, refinement, and synthesis—using conversational interviews, automated research across internal and external sources, a curation board with confidence scoring, and a synthesis view that compiles deliverables like executive summaries and market analysis. Security enforces session isolation in dedicated pods, credential isolation through an auth proxy and token service that injects short-lived tokens, and stateless compute with PostgreSQL persistence and a warm pod pool to reduce cold starts. Development uses EARS syntax and Gherkin feature files to drive behavior-driven development, enabling automated test generation and reproducible builds. Red Hat plans to extend IdeaBot toward fully autonomous, reproducible agentic SDLC pipelines using factory patterns.

Takeaways

1. 1

   IdeaBot’s workflow has four stages: discovery, research, refinement, and synthesis, with a conversational interview at discovery and a curation board with confidence scores at refinement.

2. 2

   Security architecture uses session isolation in dedicated pods, credential isolation via an auth proxy and token service, and stateless compute with PostgreSQL persistence and a warm pod pool.

3. 3

   Development uses EARS syntax and Gherkin feature files to drive behavior-driven development, enabling automated test generation and reproducible builds.

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