Webinar: Quality maturity, accelerated: how AI closes the gap between spreadsheets and best practice

Webinar now available on-demand

Moving from spreadsheets to a fully mature, predictive quality management system in the past has been a process that can take years of manual re-engineering and system migration. In this webinar Ideagen and Verdantix explore the continuing pain around replacing legacy QMS systems and how AI is compressing the transition to a fully mature digital eQMS into weeks or months, helping quality teams keep data consistent, make better decisions and scale expertise across the business.

About this webinar:

Quality functions are gaining strategic influence, but digital maturity has not kept pace. Many organizations still lean on home-grown software, spreadsheets and paper-based processes for core activities such as supplier quality management, data analytics and product recall. The result is fragmented data, reactive decision-making and a slow, expensive path towards best practice.

Join us for this webinar, featuring guest analyst Verdantix, where we will explore how AI is changing the shape of that journey. Rather than years of phased system replacement, organizations can now use AI-powered quality management software to standardize data quality, surface consistent insight across sites and functions, and give every team access to the kind of expertise that once sat with a small group of specialists.

We will look at where AI is already delivering measurable value, including defect detection and predictive maintenance, and where adoption is still cautious due to unproven deployments and inconsistent operational data. You will leave with a clear view of how to sequence AI investment against your current maturity level, so you can move from reactive to proactive quality management without a multi-year transformation programme.

Key takeaways:

Why the traditional quality maturity curve, from Excel and paper to a fully integrated, predictive QMS, has historically been a slow process and what has changed.
How AI closes the data-consistency gaps left behind by manual and home-grown systems, so every site and team works from the same source of truth.
Which AI use cases are already delivering proven results, from CAPA to system configuration.
How AI-powered QMS software embeds decision-making expertise across the whole business, not just within a central quality team.
A realistic roadmap for compressing your own maturity journey: what "months, not years" looks like in practice and where to start.

Meet our speaker

Entesar Khalil

Industry Analyst, Verdantix

Entesar is an Industry Analyst in the EHSQ team at Verdantix, delivering research on quality management technologies and the market trends shaping modern EHSQ functions. Specializing in the role of digital tools and emerging technologies, she supports organizations in strengthening quality processes, improving compliance and reducing operational risk. As part of the Verdantix research team, Entesar contributes to market analysis, quantitative modelling and research initiatives that help technology buyers and vendors navigate the evolving EHSQ software landscape.

Paul Callaghan

Senior Product Manager, Ideagen

With over two decades of experience in quality management, Paul has been instrumental in developing innovative solutions that help organizations transform their quality practices. He combines deep industry expertise with a product-led approach to deliver tools that drive operational excellence and regulatory compliance.

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