Specific activities
- Map workflow, roles and system boundaries
- Define source, review and approval points
- Describe error, stop and escalation paths
- Establish mandatory human final review
AI quality · Quality assurance for AI-supported workflows
Design AI workflows with clear review points.
Quality assurance for AI-supported workflows examines the path from input to human approval. Controls, handovers, responsibilities and procedures for handling errors are defined, rather than only reviewing individual AI responses.
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Suitable starting points
When AI is already in use but control and accountability are not defined end to end.
This service suits existing or planned workflows in which AI prepares, changes or passes results into further processing.
- AI is already in use, but roles and reviews are not clearly defined.
- Sources, intermediate results and approvals must remain traceable.
- A new AI workflow requires controlled preparation before use.
Service contribution
Quality assurance makes roles, reviews and stop points explicit.
svensystem Engineering maps the workflow, assigns sources and responsibilities and defines traceable review, approval, stop and escalation paths.
svensystem remains the internal work, knowledge and quality framework of svensystem Engineering. It is neither sold nor installed in client environments.
Activities and outcomes
Controlled workflows with visible accountability and approval points.
The activities and outcomes included in the assignment are agreed before work begins. The following selection describes possible components.
Possible outcomes
- Workflow overview with inputs, outputs, handovers and accountable roles
- Control and approval concept with review criteria and human decision points
- Review checklists and defined procedures for errors, stopping work or seeking clarification
- Action plan for introducing or revising the workflow, including open decisions
Working approach
From the existing workflow to a safeguarded quality and approval model.
Map
Capture tasks, systems, data sources, stakeholders and existing controls.
Define
Set system boundaries, permitted AI tasks and human responsibilities.
Control
Position source, review, evidence and approval points within the workflow.
Safeguard
Define error, stop, fallback and escalation paths.
Handover
Document the agreed workflow, open risks and required next steps.
Responsibilities and boundaries
AI support does not change human decision authority.
svensystem Engineering
Analyses and structures the workflow, develops control and approval points and documents risks and open decisions.
Client and subject-matter owners
Confirm permitted use boundaries, remain responsible for data and system access and issue operational and subject-matter approvals.
The service covers analysis, structuring and quality assurance; svensystem is not installed in the client organisation.
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