Intact ads

Tired of workarounds because the tools you’re using were not made for audits and certification? The Intact Platform was built specifically for the Testing, Inspection, and Certification (TIC) industry, mapping the entire audit lifecycle from application to certification. Find out more about the industry standard.

Two clocks are running on the ISO 9001 and ISO 14001 transition, and yours is the tighter one. See what your software needs to carry it. Get the free software readiness guide for certification bodies.

Almost 1,000 acquisitions have reshaped the TIC market in the last 12 years. Each one adds a new certification body — and a new way of running an audit. If you acquired a CB tomorrow, could their audits run in your system on day one? Or would you inherit their spreadsheets along with their clients? Our latest whitepaper looks at what growth by acquisition actually costs certification bodies — and what it takes to make the next deal a non-event instead of a project.

Your IT team says they can build your certification software themselves. They're probably right. Most IT teams can build almost anything, given enough time. The real question is what happens after launch. Certification software keeps running for years, absorbing new scheme versions, new security threats, and now new AI capabilities as they arrive. That maintenance work doesn't show up in the original project plan, but it shows up in the budget every year after. Building it is a decision you make once. Maintaining it is a decision you make every year you own the system. 🔗 Read our updated Build or Buy guide to learn more: https://lnkd.in/dMgDURJj

Most certification bodies and scheme owners are asking the wrong question about AI. The question isn't which tool to adopt - it's which kind of AI belongs where, and why getting that wrong carries real risks for audit integrity and accreditation compliance. Our latest whitepaper breaks down what AI in audits and certification actually needs to look like. Check it out now!

If auditors are using consumer-grade AI tools - without IT approval, without data protection, and without any guarantee of accuracy - that creates liability. Our new whitepaper examines what responsible AI adoption looks like in certification, and why the CBs that get this right will have a significant competitive edge.