Stages AI Backbone

Stages is a governed process backbone for AI-era engineering. Purpose-built for engineering-intensive organizations, it transforms process expertise into structured, current and approved knowledge that teams and AI agents can use across the product lifecycle.

Connect people, AI agents and engineering tools around a shared process truth. Scale AI-enabled engineering while maintaining control of compliance, quality and product safety.

AI agents help engineers find and apply knowledge, increasingly acting across tools, workflows and engineering domains. Every new machine-to-tool and machine-to-human interaction increases the need for authoritative context; which process applies, which version is approved, who is responsible, what evidence is required and which standards must be followed.

Engineering data alone is not enough. AI also needs governed process knowledge to act in the right context. Stages provides that foundation.

Document repositories and simple process diagrams can show information, but often leave relationships, applicability and ownership implicit. Stages uses a model-based WHO-WHAT-WHEN-HOW-WHY structure to connect roles, activities, timing, methods, work products, standards and purpose in a process knowledge graph.

This finer-grained structure helps AI retrieve the relevant process context, link responses to defined sources and adapt guidance to the applicable program, project, product or team variant.

Approved process models give AI agents the operational context needed to support engineering work. Stages can provide structured knowledge about responsibilities, expected work products, required practices, standards and decision points, helping organizations connect AI-enabled work across the engineering toolchain.

For AI and digital transformation leaders, the challenge is no longer proving that AI can generate content. The challenge is scaling AI across engineering without losing control of context, accountability and compliance.

Stages helps establish a governed process knowledge layer that teams and AI agents can rely on from concept through development, certification and operation. This creates a repeatable foundation for AI adoption across domains, programs and tools while preserving the process controls required in engineering-intensive environments.

• A shared foundation for human and machine collaboration.
• Clearer orchestration across functions, domains and engineering tools.
• AI guidance grounded in applicable roles, processes, standards and approved decisions.
• More consistent scaling of AI use cases across programs and business units.
• Traceability from process guidance to defined sources and governance controls.

UL Solutions values trust and is committed to Responsible AI principles including transparency, privacy, safety and security. Stages keeps people at the center of process management while helping organizations provide AI systems with controlled and traceable process context.