Context
Many technical initiatives begin without stable system definition. Ambiguity propagates into architecture, implementation, and governance. LLM-assisted development increases output capacity but does not define system properties. Unresolved decision boundaries create implementation risk.
Service
Specification Engineering Service produces engineering-grade specifications defining system properties before implementation.
Process
- intent clarification
- decision boundary definition
- system definition
- interface definition
- constraint definition
Specification types
- system specification
- process specification
- interface specification
- constraint specification
- validation specification
Output
Each engagement produces a Specification Bundle defining system properties and decision boundaries. The bundle enables consistent implementation, evaluation, and governance compatibility.
- system definition
- constraints and admissibility criteria
- interface definitions
- decision traceability
- AI-compatible specification
Packages
Engagement scope depends on specification depth and decision complexity.
System scope specification
- single system scope
- core structure clarification
- primary decision boundaries
- Specification Bundle (minimal)
Interface and constraint specification
- multi-component structure
- interface boundary definition
- constraint structure
- Specification Bundle (extended)
Extended specification bundle
- complex decision space
- extended specification depth
- governance-compatible specification
- Specification Bundle (comprehensive)
Use cases
- unclear system architecture
- ambiguous scope boundary
- AI-assisted development without stable specification definition
- complex technical decision space
- uncertain interface boundaries
- governance compatibility requirements
- requirement for audit-ready structure
- transition from concept to engineering-grade specification
FAQ
Positioning
Specification Engineering Service operates between system intent and implementation. The service is compatible with deterministic systems, AI governance, and engineering workflows.