Draft from controlled sources
Generate requirement proposals from approved needs, specifications, decisions and standards with source references attached.
ASPICE requirements AI
AI-assisted requirements engineering for Automotive SPICE
Turn approved stakeholder and system context into reviewable requirements, quality findings and trace links while maintaining the rigor expected in SYS.2 and SWE.1 workflows.
Engineering outcomes
Move from disconnected assistance to controlled execution.
Find ambiguity and missing detail
Flag weak language, missing bounds, conflicting statements, unverifiable criteria and unresolved assumptions before review.
Connect SYS.2 to SWE.1
Propose derivation and allocation links with rationale so reviewers can validate downstream coverage and change impact.
Preserve review responsibility
Separate agent proposals from approved requirements and record every edit, review decision and baseline transition.
Governed workflow
AI proposes. Engineers decide. Evidence stays connected.
Connect approved context
Connect selected baselines, standards, templates and project rules with role-based access.
Run specialist agents
Agents analyze the work package and create traceable engineering proposals—not silent repository changes.
Review and approve
Engineers inspect sources, rationale, assumptions and quality checks before accepting any output.
Synchronize evidence
Approved content and links return to controlled systems with provenance and an auditable decision history.
Designed for real programmes
Requirements quality is more than generated prose.
Automotive requirements must be technically correct, feasible, testable, traceable and controlled. KlugSpice combines drafting with quality rules, project knowledge, relationship analysis and explicit approval gates so teams can reduce repetitive work without lowering the review bar.
Works with the engineering stack you already trust
IBM DOORS NextPolarionCodebeamerJiraAzure DevOpsTeamcenter
Controlled repositories remain authoritative. KlugSpice synchronizes reviewed outputs and preserves traceability, provenance and approval state.
Questions buyers ask
Frequently asked questions
Can AI generate ASPICE system and software requirements?
AI can generate proposals from approved context. Engineers must review correctness, completeness, feasibility, traceability and verification criteria before approval.
Does KlugSpice support SYS.2 and SWE.1?
Yes. KlugSpice supports system-requirements analysis and software-requirements analysis workflows, including quality checks, derivation, allocation, traceability and review evidence.
Can it analyze existing requirements instead of generating new ones?
Yes. Teams can use KlugSpice to identify ambiguity, duplication, conflict, missing parameters, trace gaps and verification weaknesses in existing baselines.
Where are approved requirements stored?
Approved requirements can remain in the organisation’s controlled ALM or requirements repository. KlugSpice connects to those systems rather than forcing an immediate migration.
Evaluate KlugSpice on a real ASPICE work package.
A focused pilot connects your sources, runs a governed workflow and gives your engineers concrete outputs to review.
Book a demo