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QualityAI “Build Your Own Safety Agent” Demonstration

qualityai on June 30, 2026

Click to watch instantly, or scroll down to discover what is demonstrated in this short video.

This excerpt shows how simple it is to build your own Safety Audit Agent, using an ISO 45001 requirement document.

It shows how to configure the agent and create the audit template, performing the audit live on a mobile device.

After that, the AI agent does the following:

  • Generates an analysis of the audit, referencing applicable ISO 45001 standards
  • Scores the audit based on any customer-provided scoring instructions, or will fallback to its own analysis otherwise
  • Detailed findings and severity
  • Corrective/preventative actions
  • Comparison with previous audits, finding reoccuring patterns and showing immediate containment actions
  • Root-cause corrective actions, verification and closure
  • Context from related audits to provide comparison and systemic context
  • Prioritized recommendations for a consolidated corrective program
  • Verification and evidence requirements for closure
  • Summary of ISO 45001 requirements, showing clauses and relevant pages 

Webinar Replay – Audit Manager Summer 2026 Release

qualityai on June 22, 2026

Resources (Instant Download)

Slide Deck
Transcript
Q & A

QualityAI is pleased to share our 2026 Summer Release Webinar for QualityAI Audit Manager.

In this session, Karoly Kali (Karesz) demonstrates practical new capabilities designed to help manufacturing quality teams turn operational data into useful action: organization-specific AI agents (“Build Your Own Agents”), Visual Insights dashboards, and a live Audit Manager walkthrough.

If you only have a few minutes, we suggest starting with:

05:41 Discussion of creating organization-specific AI quality agents

15:49 Live creation of a Safety audit agent using an ISO 45001 requirement document

23:04 AI Agent scoring, findings, and recommended actions

26:53 Return on investment: real-world business case and benchmark results

29:53 Q&A

====================

** Timings for all topics in the video can be found below **

00:00 Introduction of Karoly Kali (Karesz)

01:06 Agenda

01:56 Karesz’s presentation begins

02:56 Manufacturing quality challenges in 2026

05:41 Discussion of creating organization-specific AI quality agents (“Build Your Own Agent”)

09:15 Overview of Visual Insights dashboards and reporting

11:11 Live demonstration begins

11:29 Audit Manager dashboard and existing AI analysis capabilities

15:49 Live creation of a Safety audit agent using an ISO 45001 requirement document

18:00 Configure the agent and create the audit template

19:56 Perform the audit on a mobile device

22:39 Review the audit report and findings

23:04 AI Agent scoring, findings, and recommended actions

25:16 Visual Insights demonstration

26:52 Return on Investment: real-world business case and benchmark results

29:52 Q&A begins

30:09 Attendee Question: Can agents learn from our own past findings and corrective actions?

31:31 Attendee Question: How much work is required to get started?

33:50 Attendee Question: Can Visual Insights combine data from multiple plants?

34:52 Attendee Question: Can AI agents account for different customer requirements (CSRs)?

35:44 Attendee Question: What sort of AI does QualityAI use?

37:56 Attendee Question: Is AI included with QualityAI Audit Manager?

39:00 Wrap-up

Demonstration of QualityAI’s assistance with a nonconformity

qualityai on February 25, 2026

In this 64-second clip, Karesz encounters a nonconformity during a system audit.  QualityAI’s Analysis Insights agent provides a wealth of helpful information on that *specific* nonconformity.

This is AI built for manufacturing quality by career quality experts – no fluff, just actionable information that can help save time and improve your process … today.

(With our 4-hour implementation process to get a production audit live in our system, “today” isn’t just marketing hype.)

If you’d like to watch a replay of the entire webinar (or scroll down to the chapter timestamps that interest you), visit the QualityAI Winter 2026 Product Release webinar recording here.

Webinar Replay – Audit Manager Winter 2026 Release

qualityai on February 4, 2026

QualityAI was pleased to announce “LUQA”, as well as a number of new features and enhancements, at our Winter Release Webinar in January 2026.

LUQA stands for Last Universal Quality Archetype, and is a unified, purpose-built AI model for manufacturing quality.

It is what makes the difference between AI “hype” and a specifically-engineered AI engine that provides accuracy and repeatability.

Here are some of the other topics we discussed – we always like to provide links to the “highlights” if you only have a few minutes to watch this recording:

06:08 Discussion of the Product Audit Scoring Agent (PASA) – VDA 6.5 example

06:44 Discussion of System Audit Compliance Agent (SACA) – an AI-powered “co-auditor” for IATF 16949 system audits

11:45 Technical overview of LUQA (Last Universal Quality Archetype) – showing how we deliver accuracy and consistency without sharing confidential company information … or hallucinations

33:52 Drill-down into how the AI is able to bring relevant information and action items to a specific finding, such as reformulation, applicable standards, short-term remediation, root cause analysis, final recommended wording for audit report, and much more (see full bulleted list below)

====================

*** Timings for all topics in the video can be found below ***

If you’re able to spend a little more time, here are all of the topics so you can see what’s relevant to you:

01:35 Introduction and background of host, Karoly Kali (“Karesz”)

02:24 Agenda

02:59 Karesz’s presentation starts

04:42 QualityAI Audit Manager functional additions to the solution

06:08 Discussion of the Product Audit Scoring Agent (PASA) – VDA 6.5 example

06:44 Discussion of System Audit Compliance Agent (SACA) – AI-powered “co-auditor” for IATF 16949 system audits

10:40 Core capabilities and Value of SACA

11:45 Technical overview of LUQA (Last Universal Quality Archetype) – showing how we deliver accuracy and consistency without sharing confidential company information … or hallucinations

14:15 Real-world use cases of LUQA

16:22 Live demonstration starts

17:28 Product audit demonstration on mobile phone

23:20 Review of report from product audit, and AI Analysis Insights

25:15 Quick review of product audit template showing setup and options

26:33 System audit demonstration begins

30:54 AI evaluation of a sample CQI document, to have it assist in creating 10 questions in an LPA format based on that document

33:04 AI analysis report of the earlier system audit

33:52 Drill-down into how the AI is able to bring relevant information and action items to a specific finding, such as:
  • reformulation
  • applicable standards
  • significance of the result to the organization
  • immediate containment actions
  • short-term remediation
  • root cause analysis
  • systemic corrective actions
  • verification of effectiveness and validation
  • customer/product safety assessment
  • closure evidence required
  • suggested timeframe summary
  • recommended classification of the finding
  • final recommended wording for audit report
35:02 Review of real-world benefits observed by global manufacturer ThyssenKrupp

37:13 Q&A session starts – first question is “how can we try the solution?”

38:12 Contact information for Karesz

38:20 Question about 2026 IATF update – if QualityAI can support

39:43 Question about business setup and structure, permissions

41:21 Question about whether QualityAI is a QMS or not (it is not)

QualityAI featured on Autopro.hu – AI in Plant Floor Audits

qualityai on January 24, 2026

We’re excited to share that autopro.hu recently featured an interview with András Viktor Szabó, Chief Strategy Officer (CSO) of QualityAI.

In the article, András discusses how artificial intelligence is becoming an increasingly practical tool in the world of quality audits. In addition to significant time and labor savings, turning audit data into insights that leadership can act on is increasingly necessary in the fiercely competitive manufacturing landscape.

Key Takeaways from the interview:

András explains how AI helps reduce the manual, time-consuming work that often slows down plant floor audits, including:

    • Automated data processing that supports trend analysis and better feedback loops
    • Faster reporting by linking findings to specific standards and clauses
    • Improved visibility for management with cross-area performance summaries and trend indicators

Read the full article about AI in plant floor audits <— click to go to autopro.hu site