Customer Snapshot
Customer: Swiss Association for Quality (SAQ) Scope: Integrated Management System (IMS) review against ISO standards (ISO 9001 and ISO 27001) Use case: Faster, more consistent QMS/IMS assessments and clearer improvement guidance Based on SAQ's published experience report.
The Swiss Association for Quality (SAQ) supports quality professionals and promotes modern quality management practices. In early 2025, SAQ had the opportunity to test PEDCO AuditPro, an AI-supported tool designed to improve integrated quality systems and accelerate assessments of management system documentation.
The Starting Point: Auditing Complexity Keeps Rising
SAQ's report highlights a broader reality many organizations face: quality management used to be perceived as a function focused on "policing" compliance, but it is increasingly expected to act as a business enabler—supporting organizations in reaching objectives more effectively. At the same time, standards and requirements are growing in complexity and volume, which makes purely manual assessment approaches harder to sustain.
The underlying challenge was familiar:
- Manual, time-consuming assessment work when comparing an IMS against a standard
- Error-prone processes when analyzing large document sets
- A need for clear, structured feedback that helps teams improve—not just "pass an audit"
What SAQ Set Out to Prove
The experiment was straightforward: could an AI-assisted approach help SAQ evaluate an organization's IMS against ISO 9001 and ISO 27001 more efficiently, while producing feedback that is consistent, practical, and usable by quality experts?
SAQ also noted a pragmatic requirement often overlooked in tooling decisions: multi-language support, which is especially relevant for organizations operating across multiple language regions.
How PEDCO AuditPro Was Used in the Experiment
In the test setup described by SAQ, PEDCO AuditPro was used to:
- Compare the provided IMS documentation against selected ISO standards
- Identify strengths, weaknesses, and improvement areas
- Provide section-level feedback that distinguishes well-covered areas from gaps
- Support a workflow where human expertise remains central for interpretation and decisions
Key Outcomes Observed by SAQ
SAQ summarized several core takeaways from working with PEDCO AuditPro:
A. Faster and More Consistent Analysis
SAQ reported that AI can significantly accelerate the assessment of IMS conformity by quickly identifying strengths and weaknesses. They were able to compare PEDCO AuditPro's results with insights from a recent internal audit—creating an additional validation point and improving confidence in what to prioritize next.
B. More Actionable Insights at the Level That Matters
Instead of generic findings, SAQ emphasized the value of specific feedback per standard section: conforming areas were clearly recognized (with reasoning), while weaker areas were highlighted with concrete improvement direction.
C. A Realistic, Improvement-Oriented View of "Conformity"
SAQ noted an important nuance: IMS documentation always reflects an organization-specific interpretation of a standard, so "absolute conformity" isn't a realistic bar. They framed ranges pragmatically (e.g., high conformity as strong; lower scores as indicators of improvement potential) and emphasized the importance of collaboration between humans and AI to ensure results fit both business context and quality expectations.
D. Human Expertise Remains Essential
SAQ explicitly called out that while AI can surface weaknesses and suggestions, interpretation in the business context remains a human task—a key point for executive buyers concerned about accountability and audit defensibility.
E. Clear-Eyed View on Costs and Sustainability
Finally, SAQ stressed that organizations should keep analysis and usage costs in mind and ensure that AI tools provide clear value—especially given that AI consumes energy and resources.
What Changed: Quality as a Strategic Enabler
The overall conclusion in SAQ's report is forward-looking: tools like PEDCO AuditPro offer a view into the future of quality management, where automation complements human expertise. This shift can help quality professionals operate more as strategic enablers, not just compliance gatekeepers—supported by faster insights, clearer feedback, and a more continuous improvement rhythm.
Lessons Learned (From SAQ's Perspective)
- Use AI to accelerate insight—keep humans accountable for interpretation.
- Treat results as guidance and prioritization, not a replacement for judgment.
- Evaluate ROI and sustainability pragmatically; demand clear, measurable value.
What's Next
SAQ described the experiment as an "eye-opener" and positioned it as the start of a journey—anticipating further learning and stronger interfaces between AI and quality systems.
Reference
This success story is based on SAQ's published experience report in MQ Management und Qualität magazine. Read the original article (German) →