Specific activities
- Develop evaluation criteria and test cases
- Compare model responses systematically
- Classify errors, rule violations and edge cases
- Summarise and prioritise findings
AI quality · Evaluation of AI systems
Evaluate AI systems using defined test cases.
Evaluation of AI systems examines their behaviour for an agreed use case. Responses are assessed against defined test cases and criteria to document differences between model versions and recurring errors.
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Suitable starting points
When an AI solution needs assessment for a specific use case.
This service creates comparability when model quality should be assessed through defined cases and criteria rather than assumed.
- The quality of an AI system must be assessed for a specific use case.
- Model versions or solution variants need to become comparable.
- Recurring errors and edge cases require structured analysis.
Service contribution
Evaluation connects the use case, test design and reliable findings.
svensystem Engineering develops a suitable evaluation framework, performs structured comparisons and classifies errors, rule violations and edge cases transparently.
Results apply to the reviewed use case, data status and model version. They are not a general certification or guarantee of future model performance.
Activities and outcomes
Comparable results with clear analysis of errors and edge cases.
The activities and outcomes included in the assignment are agreed before work begins. The following selection describes possible components.
Possible outcomes
- Evaluation plan specifying the use case, model version, test scope and assessment criteria
- Test case overview with recorded responses and corresponding assessments
- Analysis of recurring errors and edge cases with specific examples
- Evaluation report with findings, limitations of the assessment and reasoned next review steps
Working approach
From the evaluation objective to a traceable evaluation report.
Define
Set the use case, model version, quality objective and excluded areas.
Design
Define test cases, references, evaluation criteria and error types.
Execute
Collect and compare model responses or solution variants under controlled conditions.
Analyse
Assess results, error patterns, edge cases and deviations systematically.
Interpret
Document findings, limitations and prioritised next steps traceably.
Responsibilities and boundaries
Evaluation provides a basis for decisions, not the decision itself.
svensystem Engineering
Plans and documents the evaluation, performs comparisons and consolidates findings into a transparent quality picture.
Client and subject-matter owners
Confirm the use case, risk context and acceptance measures and decide on use or further development.
The evaluation applies to the reviewed use case and version; it is not a general certification or guarantee of future model performance.
Specialist reviews remain with appropriately qualified subject-matter or testing professionals.
AI supports the work. Final review, evaluation and approval remain under human control.
Possible starting point