News

• July 14, 2026

ISO 45001 vs OHSAS 18001: What Changed and Why It Still Matters

If your occupational health and safety management system still traces its DNA back to OHSAS 18001, it is time for a candid conversation. OHSAS 18001 was formally withdrawn in September 2021. The transition standard, ISO 45001, is now the only internationally recognized standard for occupational health and safety management, and any organization still operating an OHSAS-era system is working from a framework that no longer exists in the eyes of registrars, customers, and regulators.

The difference between ISO 45001 and OHSAS 18001 is more than a change of name and number. ISO 45001 rebuilt the standard on a modern structure, elevated the role of leadership, made worker participation a formal requirement, and shifted the entire mindset from reacting to hazards toward proactively managing risk. This article walks through what actually changed, why those changes matter, and what companies still running legacy safety systems should do next.

The short history: how OHSAS 18001 gave way to ISO 45001

OHSAS 18001 was first published in 1999 and revised in 2007. For nearly two decades it was the default benchmark for occupational health and safety management, but it was never a true ISO standard. It was developed by a consortium of national standards bodies and certification organizations to fill a gap that ISO had not yet addressed.

ISO 45001 was published in March 2018 as the first genuine ISO standard for occupational health and safety. Organizations certified to OHSAS 18001 were given a migration window to transition. That window closed in September 2021, when OHSAS 18001 was officially withdrawn. Certificates issued against it are no longer valid, and accredited registrars no longer audit against it.

In practical terms, an OHSAS 18001 certificate today carries no accredited standing. If your safety system was built around that standard and has not been updated, you are running a management system that the certification world has retired.

Annex SL: the structural change under the hood

The most fundamental difference between ISO 45001 and OHSAS 18001 is invisible on the surface but shapes everything above it. ISO 45001 is built on Annex SL, the common high-level structure that ISO now uses across its major management system standards, including ISO 9001 for quality and ISO 14001 for environmental management.

Annex SL organizes every standard around the same ten clauses: context of the organization, leadership, planning, support, operation, performance evaluation, and improvement, among others. OHSAS 18001 used its own older structure that did not align with these standards.

Why does this matter? Because most organizations do not run a single management system in isolation. A manufacturer might hold ISO 9001, ISO 14001, and ISO 45001 at the same time. Under the shared Annex SL structure, those systems can be integrated into one coherent framework rather than three disconnected sets of binders. Common clauses mean common processes for document control, internal audits, management review, and corrective action. That integration reduces duplication, lowers the cost of maintaining certification, and makes audits considerably less painful. If you already run an ISO 9001 quality system, aligning safety under the same structure is far easier than it was under OHSAS 18001.

Leadership: safety moves into the boardroom

OHSAS 18001 allowed organizations to delegate safety to a management representative, often a single safety officer who owned the system and answered for it. ISO 45001 removed that escape hatch.

Under ISO 45001, top management is explicitly accountable for the effectiveness of the occupational health and safety management system. Leadership must demonstrate commitment, integrate safety requirements into core business processes, provide the resources the system needs, and take an active role in directing and supporting it. Safety is no longer a compliance function parked in a corner of the org chart. It is a leadership responsibility woven into how the business is run.

This shift reflects a hard-won lesson from decades of workplace incidents: safety cultures succeed or fail based on what leadership visibly prioritizes. When executives own safety outcomes, the rest of the organization follows. When safety is delegated and forgotten, gaps appear.

Worker participation: the people doing the work get a formal voice

One of the most significant additions in ISO 45001 is the requirement for genuine worker participation and consultation. OHSAS 18001 touched on consultation, but ISO 45001 makes it a structural requirement rather than an afterthought.

The reasoning is straightforward. The people performing a task usually understand its hazards better than anyone reviewing it from a desk. ISO 45001 requires organizations to consult workers when identifying hazards, assessing risks, and determining controls, and to actively remove barriers that discourage them from participating, including fear of reprisal, language differences, and lack of time.

For non-managerial workers in particular, the standard calls for meaningful involvement in decisions that affect their safety. This is not a box to tick. Auditors will look for evidence that workers genuinely contribute to the system and that their input shapes real decisions.

Risk versus hazard: a shift in mindset

Perhaps the deepest conceptual change is how ISO 45001 frames the goal of the system. OHSAS 18001 was largely hazard-focused and reactive. It concentrated on identifying hazards and controlling them, often after an incident had already revealed the gap.

ISO 45001 is risk-based and proactive. It asks organizations to think in terms of both risks and opportunities, and to understand the broader context in which the organization operates before deciding how to act. That means considering the needs and expectations of workers and other interested parties, anticipating how changes in the business could introduce new risks, and building prevention into planning rather than bolting controls on afterward.

This risk-based thinking mirrors the approach ISO 9001 introduced for quality management. Instead of documenting a fixed set of procedures and hoping they cover every scenario, the organization continually evaluates where things could go wrong and directs its attention accordingly. The result is a safety system that adapts as the business changes rather than one that only responds after something has already gone wrong.

A side-by-side summary

• Status: OHSAS 18001 was withdrawn in September 2021. ISO 45001 is the only recognized international standard for occupational health and safety.
• Structure: OHSAS 18001 used its own older format. ISO 45001 uses the Annex SL high-level structure shared with ISO 9001 and ISO 14001, enabling integrated management systems.
• Leadership: OHSAS 18001 permitted delegation to a management representative. ISO 45001 holds top management directly accountable.
• Worker involvement: OHSAS 18001 mentioned consultation. ISO 45001 requires formal worker participation and the removal of barriers to it.
• Orientation: OHSAS 18001 was hazard-focused and reactive. ISO 45001 is risk-based, proactive, and context-aware.

What companies on legacy OHSAS-style systems should do now

If your organization never formally migrated to ISO 45001, or if your safety system still looks and feels like an OHSAS 18001 program, the practical path forward is clear.

Start with an honest gap analysis. Compare your current safety documentation and practices against the requirements of ISO 45001, clause by clause. In most legacy systems, the biggest gaps show up in the newer requirements: understanding organizational context, demonstrating active leadership involvement, documenting worker consultation, and applying risk-based thinking rather than a static hazard register.

From there, the work usually falls into a few areas. Leadership needs to be brought into the system in a visible, documented way. Worker participation processes need to be built or formalized. Risk and opportunity assessment needs to replace or supplement the older hazard-only approach. And if you already hold ISO 9001 or ISO 14001, this is the moment to integrate safety into a single management system under the shared Annex SL structure rather than maintaining it separately.

None of this requires starting from scratch. A well-run OHSAS 18001 system already contains much of what ISO 45001 asks for. The migration is largely a matter of restructuring existing content, closing specific gaps, and demonstrating the leadership and worker involvement the newer standard expects. Organizations that approach it methodically, ideally with a gap analysis up front, typically find the transition far more manageable than they feared.

The bottom line is that OHSAS 18001 is gone, and the reasons it was replaced still matter. ISO 45001 exists because the older, reactive, delegated approach to safety left too many gaps. Moving to it is not just a certification formality. It is an opportunity to build a safety system that leadership owns, that workers help shape, and that anticipates risk instead of merely responding to harm.

QRC’s ISO 45001 consulting team helps organizations migrate legacy safety systems, close the gaps that matter, and integrate occupational health and safety with existing ISO 9001 and ISO 14001 systems. To see where your current system stands, a structured gap analysis is the right first step. Call (800) 244-5409 or contact us to talk it through.

• July 14, 2026
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• July 14, 2026

ISO 9001 Gap Analysis: A Step-by-Step Guide

Every successful ISO 9001 project starts with an honest look at where you stand today. That is exactly what an ISO gap analysis delivers: a structured, evidence-based comparison of your current management system against the requirements of the standard. Done well, it tells you precisely what already works, what is missing, and how much effort separates you from a certifiable quality management system.

This guide walks through a real gap analysis the way an experienced consultant runs one — from scoping the work to handing over a remediation roadmap. Whether you plan to do it yourself or bring in help, understanding the mechanics will make the exercise far more useful.

What an ISO Gap Analysis Actually Measures

An ISO gap analysis is not an audit, and it is not a pass/fail test. It is a diagnostic. The goal is to map the distance between two things: the requirements written into ISO 9001:2015 and the way your organization actually operates today.

That distinction matters. A requirement can be fully met, partially met, or entirely absent. A gap analysis captures all three states across every clause of the standard, then translates the findings into a plan of work. Organizations that skip this step almost always underestimate the effort — or waste months building documentation they did not need. A clear picture at the start keeps the whole project grounded in reality.

Step 1: Define the Scope

Before reviewing a single document, you need to agree on boundaries. Scope defines which sites, departments, products, services, and processes the quality management system will cover.

For a single-location manufacturer, scope is usually straightforward. For a company with multiple facilities, contract manufacturing, or a mix of design and production activities, scoping decisions shape the entire project. Clarify these questions up front:

• Which physical locations are included?
• Which products or service lines fall inside the system?
• Are there any clauses you intend to exclude, and can you justify the exclusion? (Design and development under clause 8.3 is the most common candidate.)
• Who owns each process, and who will provide evidence during the review?

Getting scope right early prevents the most expensive kind of rework — discovering halfway through that an entire function was left out.

Step 2: Review the Documentation

With scope set, the next step is a document review. You are looking for the “documented information” ISO 9001 requires, plus whatever procedures, work instructions, forms, and records your organization already maintains.

Gather what exists — quality manual (if you have one), procedures, process maps, job instructions, calibration records, training logs, supplier records, corrective action files, and management review minutes. Then compare that inventory against the standard’s requirements.

Most organizations are surprised here in two directions at once. They often already do many required things, just without documenting them in a way an auditor would recognize. At the same time, they discover mandatory elements — like a documented quality policy, measurable objectives, or a defined process for handling nonconforming output — that simply do not exist yet. The document review separates “we do this but need to formalize it” from “we need to build this from scratch.”

Step 3: Walk the Processes

Documents describe how work is supposed to happen. Process walkthroughs reveal how it actually happens. This is where a gap analysis earns its value.

Sit with the people who do the work. Follow an order from quote to delivery. Watch how a nonconformance gets recorded, or whether it gets recorded at all. Trace a customer complaint through to resolution. Ask how a new employee learns their job and how that training is verified.

Walkthroughs consistently surface gaps that documentation review misses: undocumented workarounds, processes that exist on paper but not in practice, and informal controls that work well but leave no evidence trail. They also uncover strengths — mature habits that only need light documentation to satisfy the standard. Talking to operators, not just managers, is what makes this step honest.

Step 4: Score Every Clause

Now the findings get organized. Working clause by clause through ISO 9001 — from clause 4 (context of the organization) through clause 10 (improvement) — assign each requirement a status. A simple, consistent scale works best:

• Conforms — the requirement is met and evidence exists.
• Partial — some elements are in place, but the requirement is not fully satisfied.
• Gap — the requirement is not met, or no evidence exists.
• Not applicable — the requirement is justifiably excluded from scope.

The high-value clauses to watch are the ones organizations most often underestimate: risk-based thinking and the actions to address risks and opportunities (clause 6.1), the context and interested-parties analysis (clauses 4.1 and 4.2), operational planning and control (clause 8.1), and the full internal audit and management review cycle (clauses 9.2 and 9.3). These are frequently thin or missing entirely, even in companies that run tight production floors.

Scoring at the clause level turns a general sense of “we have work to do” into a specific, countable list of tasks.

Step 5: Deliver the Report and Remediation Roadmap

The final step converts findings into action. A good gap analysis report does more than list deficiencies — it prioritizes them and sequences the fixes.

A useful report includes a clause-by-clause status summary, a plain-language explanation of each significant gap, an estimate of the effort involved, and a recommended order of work. Some gaps are quick administrative fixes. Others — building an internal audit program, establishing measurable objectives, rolling out risk assessments — take weeks and depend on other pieces being in place first. Sequencing matters, because you cannot run a meaningful management review before you have objectives to review or audit results to discuss.

The remediation roadmap ties it together with owners and target dates, giving leadership a realistic timeline to certification readiness. For most organizations, a well-run ISO 9001 implementation runs five to seven months from this point, and the gap analysis is what makes that estimate credible rather than a guess.

A Quick ISO Gap Analysis Checklist

Use this as a working checklist when you run your own review:

• Confirm the scope: sites, products, services, and any justified exclusions.
• Inventory all existing documented information and records.
• Compare that inventory against every clause of ISO 9001.
• Walk at least one full instance of each core process with the people who run it.
• Verify the mandatory items exist: quality policy, measurable objectives, control of nonconforming output, internal audit program, management review.
• Score each requirement — conforms, partial, gap, or not applicable.
• Flag the usual weak spots: risk and opportunity actions, context analysis, competence and training evidence, corrective action.
• Write findings into a prioritized report with effort estimates.
• Build a remediation roadmap with owners and dates.
• Set a realistic target date for your registrar audit.

Frequently Asked Questions

How long does an ISO gap analysis take?

For a single-location small or mid-sized organization, the on-site portion typically runs one to three days, with a written report following shortly after. Larger operations with multiple sites or complex processes take longer. The output should always be a documented report, not just a verbal summary.

Is a gap analysis the same as an audit?

No. An audit checks conformance against a defined system and can result in findings that affect certification. A gap analysis is a diagnostic that measures how far your current operations sit from the standard’s requirements. It informs the work ahead rather than judging a finished system.

Should we run the gap analysis ourselves or bring in a consultant?

Either can work. An internal team knows the operation intimately but may struggle to read the standard objectively or spot gaps in familiar routines. An experienced consultant brings pattern recognition from many implementations and an outside perspective, which is why organizations using a full-service program consistently pass their first registrar audit.

What are the most commonly missed requirements?

Risk-based thinking (clause 6.1), context of the organization and interested parties (clauses 4.1 and 4.2), measurable quality objectives, competence and training evidence, and a functioning internal audit and management review cycle. These tend to be thin even in well-run companies because they are management-system requirements rather than day-to-day production tasks.

A thorough ISO gap analysis is the foundation of a smooth, predictable certification project. If you would like an experienced team to run one for you and map the path to your registrar audit, explore QRC’s ISO 9001 consulting services or contact us to talk it through — call (800) 244-5409.

• July 14, 2026
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• July 14, 2026

How AI Is Transforming ISO Compliance and Quality Management

For most of the past three decades, ISO compliance work has been stubbornly manual. Someone drafts a procedure, someone else reviews it, evidence gets collected into folders, and internal auditors spend weeks reading documents to confirm the system does what it claims. The standards demand rigor, and rigor has always meant hours.

That is beginning to change. Artificial intelligence is now capable of doing much of the mechanical work inside a quality management system faster and more consistently than a human can—drafting first-pass documentation, reading through audit evidence, watching key performance indicators for drift, and flagging gaps before a registrar ever arrives. Used well, AI does not replace the quality professional. It removes the busywork that keeps quality professionals from doing the judgment work only they can do.

This article looks at where AI genuinely helps in ISO compliance and quality management, where it introduces real risk, and how to adopt it responsibly inside a certified or soon-to-be-certified management system.

Where AI actually helps in a QMS

The value of AI in ISO work is concentrated in a handful of repetitive, high-volume tasks. These are the places where the effort has always been disproportionate to the judgment required.

Drafting and maintaining documentation

Every ISO standard requires documented information—quality manuals, procedures, work instructions, forms, and records. Drafting that documentation from a blank page is slow, and keeping it current as processes change is slower still. AI language models are well suited to producing a structured first draft: a procedure that follows the clause structure of ISO 9001, a work instruction written in plain language for the shop floor, or a revision that reflects a process change described in a few sentences.

The important word is draft. AI can get a document eighty percent of the way there in minutes, but a qualified person still has to confirm that it describes what your organization actually does—not a generic template that happens to read well. Used this way, AI compresses documentation timelines dramatically without lowering the standard of the finished record.

Analyzing audit evidence

Internal audits generate a large volume of evidence: records, logs, corrective action reports, calibration certificates, training rosters. Historically an auditor reads through all of it looking for inconsistencies. AI can accelerate that review by scanning records for missing fields, expired dates, mismatched revision numbers, and patterns that suggest a nonconformity—then surfacing the exceptions for a human to judge.

The result is not a machine deciding conformity. It is an auditor spending their time on the twelve records that look wrong instead of reading the eight hundred that are fine.

Monitoring KPIs and quality data

Clause requirements around monitoring, measurement, and continual improvement assume you are watching your data. In practice, trends often go unnoticed until a management review meeting weeks later. AI-driven monitoring can watch quality KPIs continuously—scrap rates, on-time delivery, customer complaints, supplier performance—and flag statistically meaningful shifts as they happen, giving you the chance to open a corrective action while the cause is still fresh.

Preparing for surveillance and certification audits

Audit preparation is largely a gap-hunting exercise: comparing what the standard requires against what your evidence shows and finding the holes before the registrar does. AI is effective at this cross-referencing. It can compare your documented procedures against the clauses of your standard, check that each requirement is addressed somewhere in your system, and produce a prioritized list of gaps to close before a surveillance visit. That turns a scramble in the final weeks into a steady, manageable checklist.

The limits and risks you cannot ignore

AI earns its place in a QMS only if it is used with clear eyes about what it does poorly. In a compliance context, the failure modes matter more than they would almost anywhere else.

Hallucination

Large language models can produce confident, fluent text that is simply wrong—citing a clause that does not exist, inventing a control, or describing a process step your organization does not perform. In casual writing this is an annoyance. In a controlled document it is a nonconformity waiting to happen. Every AI-generated statement of fact—clause references, regulatory requirements, procedural steps—has to be verified against the actual standard and your actual process before it enters the system.

Accountability

ISO standards are built on the idea that identifiable people are responsible for the management system. A model cannot own a corrective action, sign off on a document, or be held accountable in an audit. Responsibility for every deliverable must remain with a named human, no matter how much of the drafting the machine did. AI is a tool the quality function uses; it is never the quality function.

Registrar expectations

Registrars are increasingly aware that AI is entering quality systems, and they will expect you to demonstrate control over it. If AI helped draft a procedure or analyze evidence, you should be able to explain how the output was reviewed and approved. Treating AI-generated content as controlled information—reviewed, versioned, and owned—keeps you on the right side of that conversation. Passing AI output straight into your system unreviewed is the fastest way to erode an auditor’s confidence.

Data confidentiality

Quality data often includes proprietary processes, customer information, and supplier terms. Feeding that material into a public AI tool can expose it in ways that violate customer agreements or your own information security controls—particularly relevant for organizations working toward ISO/IEC 27001. Any AI adoption has to account for where your data goes and who can see it.

How to adopt AI in your QMS responsibly

The organizations getting real value from AI in compliance are not the ones using it most aggressively. They are the ones that have wrapped it in the same discipline they apply to everything else in the management system.

A practical adoption path looks like this. Start with low-risk, high-volume tasks—first-draft documentation and evidence pre-screening—where a human reviews everything before it counts. Define, in writing, who reviews and approves AI-assisted output, so accountability is never ambiguous. Treat AI-generated documents as drafts subject to your normal document control process, with the same review and approval gates as anything else. Keep sensitive quality data out of tools that do not meet your confidentiality requirements. And record how AI is used in your processes, so you can show a registrar a controlled, deliberate approach rather than an improvised one.

Done this way, AI becomes another instrument under your existing controls—powerful, but governed. The judgment, the accountability, and the sign-off stay with your people. The machine simply does more of the typing, reading, and watching, so your people can do more of the thinking.

QRC’s AI-powered approach

This is exactly how QRC applies AI in its consulting work. Since 1992, QRC has helped more than 1,000 organizations implement ISO-compliant management systems, and clients using its full-service implementation program consistently achieve certification on their first registrar audit. Pairing veteran ISO consultants with AI tooling lets QRC accelerate the mechanical work—documentation drafting, gap analysis, audit preparation, and compliance monitoring—while human experts remain accountable for every deliverable.

The effect is a faster path to certification without cutting corners. A typical ISO 9001 implementation runs five to seven months, and AI-assisted drafting and analysis help compress the effort inside that window rather than lowering the bar the finished system has to clear. You can read more about how QRC combines human expertise with AI on its AI-powered ISO consulting page.

If you are implementing or maintaining a system under ISO 9001, ISO 13485, ISO/IEC 27001, or any other standard in QRC’s practice areas, the same principle applies: use AI to move faster on the mechanical work, and keep qualified people accountable for the result. QRC’s audit services and internal auditor training can help you build that discipline into your own team.

To talk through where AI fits in your quality management system, contact QRC or call (800) 244-5409.

• July 14, 2026
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• July 1, 2026

ISO 9001:2026 – Why Smart Companies Are Preparing Before the Standard Is Released

Introduction

For many organizations, ISO 9001 certification is viewed as a project that only requires attention when an audit is approaching. However, experienced quality professionals know that successful organizations don’t wait for deadlines—they prepare well in advance.

Although ISO 9001:2026 has not yet been officially published, now is the ideal time to begin evaluating your Quality Management System (QMS) and identifying opportunities for improvement. Organizations that prepare early typically experience smoother transitions, fewer surprises during certification audits, and stronger business performance.

Why Is ISO 9001 Being Revised?

ISO standards are periodically reviewed to ensure they continue meeting the needs of modern organizations. Since ISO 9001:2015, businesses have experienced major changes including AI, digital transformation, supply chain disruption, cybersecurity, remote work, and increasing customer expectations. While the final requirements are not yet published, organizations can strengthen their systems now.

Don’t Wait for the Final Standard

Rather than waiting for the final publication, organizations should review documentation, strengthen internal audits, improve risk management, update quality objectives, and verify that processes accurately reflect current operations.

Focus on Business Improvement—Not Just Compliance

A well-designed Quality Management System should reduce waste, improve customer satisfaction, increase operational efficiency, reduce business risk, improve employee engagement, and increase profitability. Certification should confirm an effective system—not be the only objective.

How Artificial Intelligence Is Changing Quality Management

AI can assist with drafting procedures, developing audit questions, preparing management reviews, identifying risks, analyzing KPIs, and improving documentation. Used responsibly, AI can significantly improve productivity without replacing experienced quality professionals.

Five Actions You Can Take Today

1. Perform a QMS health check.
2. Strengthen risk-based thinking.
3. Improve internal audits.
4. Evaluate organizational knowledge.
5. Stay informed using credible sources.

Final Thoughts

ISO 9001:2026 should be viewed as an opportunity to improve organizational performance, not simply another compliance exercise. Organizations that prepare early are typically better positioned for a successful transition.

About Quality Resource Center

Quality Resource Center (QRC) has helped organizations implement, improve, and maintain ISO management systems for more than 30 years through consulting, auditing, and training services.

Start preparing now with QRC’s ISO 9001:2026 transition support and ISO gap analysis.

Call (800) 244-5409 or request a consultation.

• July 1, 2026
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• May 20, 2026

Quality Resource Center

As Quality Resource Center continues to evolve, we are proud to announce an expanded focus on artificial intelligence solutions and digital transformation through our new online presence at QRC Central AI.

For more than three decades, Quality Resource Center has supported organizations with ISO standards implementation, regulatory compliance, quality management systems, auditing, training, and operational excellence. Today, the business environment is changing faster than ever, and artificial intelligence is rapidly becoming a strategic advantage for companies seeking greater efficiency, consistency, and competitiveness.

Our new .ai focus represents more than just a website update. It reflects our commitment to helping clients integrate modern technologies into traditional management systems and compliance frameworks. From ISO 9001 and AS9100 to CMMC 2.0 and cybersecurity readiness, organizations are increasingly looking for ways to automate workflows, improve data analysis, streamline documentation, and enhance decision-making. Artificial intelligence can play a major role in achieving those objectives.

At Quality Resource Center, we believe AI should support people — not replace them. Our approach combines decades of real-world quality and compliance expertise with practical AI-enabled solutions that improve productivity while maintaining accountability and regulatory integrity. We are actively developing enhanced training systems, smarter document management approaches, automated compliance support tools, and AI-assisted business process solutions tailored to the needs of our clients.

The launch of our .ai platform also symbolizes our continued investment in innovation and forward-thinking client support. As industries evolve, Quality Resource Center intends to remain at the forefront of both compliance excellence and intelligent business transformation.

We invite our clients, partners, and colleagues to visit our new website and explore the next chapter of Quality Resource Center as we embrace the future of quality, compliance, and artificial intelligence.

See how the two come together in QRC’s AI-powered ISO consulting and ISO 9001 consulting services.

Call (800) 244-5409 or request a consultation.

• May 20, 2026
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• January 7, 2026

ISO 9001:2015 Is Evolving—What to Expect from ISO 9001:2026

The long-anticipated revision of ISO 9001, the world’s most widely adopted quality management system (QMS) standard, is underway. Following nearly a decade of industry feedback, technological advancements, and shifting global expectations, ISO is preparing to release the updated ISO 9001:2026. Although still in the development and ballot stages, the upcoming revision is designed to keep the standard relevant, practical, and aligned with modern business realities.

While ISO 9001:2015 remains fully valid today, organizations should begin preparing for the changes expected in the 2026 edition. Unlike the transformational overhaul that occurred between the 2008 and 2015 versions, ISO 9001:2026 is anticipated to be a targeted, evolutionary update. Its primary purpose is to refine key concepts, address emerging risks, and improve clarity—rather than fundamentally restructure the standard.

One of the strongest drivers for revision is the rapid advancement of digital technologies. Since 2015, organizations have undergone significant digital transformation, from cloud-based operations to AI-driven analytics. ISO 9001:2026 is expected to place more emphasis on digitalized processes, the reliability and integrity of data, and the need for organizations to control and validate technology-enabled workflows. These additions aim to ensure that a modern QMS reflects today’s operational environment, in which data accuracy, cybersecurity awareness, and integrated software platforms play critical roles in consistent product and service quality.

Another anticipated enhancement involves risk-based thinking. ISO 9001:2015 moved the industry away from prescriptive requirements and toward proactive risk management. The 2026 revision is expected to strengthen this approach by providing clearer guidance on how organizations should identify, evaluate, and respond to risks and opportunities. This may include enhanced linkages between risk management, change management, and organizational strategy.

Additionally, ISO 9001:2026 will likely sharpen language around organizational context, leadership accountability, and competence development. Many of these topics were introduced in the 2015 edition but have proven challenging for organizations to interpret consistently. Expect the revision to include clarifications that make it easier for companies to demonstrate alignment between their mission, strategic direction, and quality objectives.

Environmental and social expectations—such as sustainability, resilience, and responsible sourcing—are also receiving global attention. While ISO 9001 will remain strictly a quality standard, early committee discussions indicate that ISO 9001:2026 may include subtle references to these themes, encouraging organizations to consider broader stakeholder expectations and the long-term impacts of their processes.

Importantly, the revision will maintain compatibility with the Annex SL high-level structure, ensuring alignment with related standards such as ISO 14001, ISO 45001, ISO/IEC 27001, and ISO 13485. This will continue to support integrated management systems and streamlined certification audits.

Transition periods typically range from 2–3 years after publication. Organizations certified to ISO 9001:2015 will have ample time to update their systems once ISO 9001:2026 is officially released.

In summary, ISO 9001:2026 is poised to modernize—not reinvent—the global benchmark for quality management. Organizations that embrace digital maturity, strengthen risk management practices, and align quality with strategy will be well positioned for a smooth transition.

QRC is already preparing clients for the new edition — see our ISO 9001:2026 transition support and ISO 9001 consulting services.

Call (800) 244-5409 or request a consultation.

• January 7, 2026
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• October 24, 2019

What is Quality 4.0 and What You Need to Know About It.

Quality 4.0 aligns quality management with Industry 4.0. It represents a “failure is not an option” priority for organizations and their quality leaders. To assist quality leaders and their teams in keeping pace with Digital Transformation and lead the Quality 4.0 charge, this article highlights the key elements and philosophies needed to embrace and execute this important new concept.

At its core, Quality 4.0 is the digitalization of quality, management systems and compliance. It does not focus exclusively on the technology itself, but rather on the improvements in culture, collaboration, competency and leadership that are produced by those technologies.

What is Quality 4.0?

Quality is the essential aspect of all businesses that cuts across all industries. It basically includes, but is not limited to, quality engineering, quality management systems, quality control and quality assurance. Quality 4.0 integrates all these elements utilizing new technologies that can be integrated into management systems, certifications, and more.

A good example of this is Blockchain, offers valuable methods for process traceability, from equipment maintenance and calibration certificate to even process data analysis control. A blockchain is a growing list of records called blocks that are linked cryptographically. Each individual block contains a cryptographic hash of the previous block, a timestamp, and transaction data. By definition, a blockchain is resistant to modification of the data.

“Big Data” and “The Internet of Things” (IoT) data are already used for real-time process monitoring and measurement. Augmented reality, the art of blending the physical-digital environment and helping navigate through it easier is another great example. Greater connectivity, new modes of production, and intelligent processing with computing capabilities allows visualization of data faster and better than ever.

The Intersection of Quality and Technology

Industry 4.0 and its technologies provide new ways for people, machines and data to interact, transforming powerful technologies into accessible commodities, resulting in a disruptive synergy of culture, leadership, collaboration and compliance, resulting in forward thinking quality teams standing ready to resolve many long-standing challenges that have prevented innovation and improvement.

The Foundational Pillars of Quality 4.0

Data – By definition, Quality is data driven, and data driven decision making is the key. Organizations must seek ways to combine data from various systems to ensure accuracy and transparency in their decision making.

Analytics –Traditional quality metrics typically describe what has happened, why it happened and what might happen next, but they fail to determine what actions to take. This type of analysis can be achieved by utilizing Big Data, Machine Learning (ML) and Artificial Intelligence. Successful organizations will develop an analytics strategy after or concurrently with a data strategy or the value of the analysis will be of little value.

Connectivity – The integration of various business information technologies (IT) (e.g., EQMS, ERP, PLM, etc.) with operational technology (OT) (e.g., technology used in laboratories, manufacturing and service) is a longstanding challenge. The key here will be enabling data, processes and people to work together in symbiotic fashion.

Collaboration – The adoption of Enterprise Quality Management Software (EQMS) facilitates execution of collaborative processes with the help of email, automated workflows, portals and even paper documents. The advent of social listening and blockchain have transformed collaboration in recent years, and future success will utilize the disruptive powers of connectivity, data and analytics.

App Development – The creation of created “mashup” apps that combine content from multiple sources into a single interface, represent an emerging tool for operations and management, thus realizing the full potential of interactive apps available today, including wearables, augmented reality and virtual reality.

Scalability – Many companies cite disjointed data sources and systems as significant roadblocks to achieving quality objectives. Cloud computing can be a valuable tool to achieving scalability, along with data lake technologies (A data lake is a system or repository of data stored in its natural/raw format,[1] usually object blobs or files. A data lake is usually a single store of all enterprise data including raw copies of source system data and transformed data used for tasks such as reporting, visualization, advanced analytics and machine learning). Start by assessing the current scalability – or the ability to support data volume, users, devices and analytics on a global scale – of your in-house systems.

Management Systems – As of the writing of this paper, less than a quarter of companies have adopted an EQMS. The resulting core process fragmentation makes it difficult for companies to deploy effective quality technology. Harmonizing and automating processes and systems enables quality staff to shift their focus to innovation and improvement.

Compliance – A large percentage of companies report that ensuring compliance was a key strategic objective for quality management, closely followed by reducing the total cost of quality. Quality 4.0 provides multiple opportunities to automate compliance. Highly configurable, automated and connected EQMS solutions, and tools to automate validation are now available.

Culture – Few organizations and their cross-functional teams clearly understand how quality contributes to strategic success. The improved connectivity and collaboration offered by Quality 4.0 makes a culture of quality attainable.

Leadership – Barely ten percent of companies report that quality is a priority for top management. To confront this, quality teams must align their objectives and clearly link them to the organization’s strategic objectives. Quality leaders must advocate and lead quality across the organization, especially at the executive level.

Competency – Quality 4.0 facilitates an improved baseline competency of workers, as well as better scaling of specialized knowledge. Other technologies including certain social media, Machine Learning, Artificial Intelligence, mashup apps, wearables and VR can yield improvements in training and knowledge sharing.

What Should you do?

1. Evaluate where you stand on each of the 11 elements of Quality 4.0
2. Recognize and embrace the potential uses of analytics, apps, data, connectivity and other technologies to influence performance across the enterprise
3. Establish a Digital Transformation strategy. Align your quality objectives with it.

Current State –

A recent American Society of Quality survey of companies around the world found that only 16% of companies have started any Quality 4.0 initiatives. 63% of companies reported that they have not even started any planning on the topic.

Furthermore, Europe is ahead of the Quality 4.0 race. Nearly a quarter of companies have already started planning on the subject. In the US this number drops to just 6%.

Companies that initiated Quality 4.0 initiatives have stated that they intend to apply the concept for quality data centralization, data security and continuous monitoring anywhere, anytime.

While the initiative is still very new, quality professional must be increasingly aware of it and endeavor to understand the need to create a plan to define their strategies in their companies.

Quality 4.0 will transform all aspects about implementation and quality controls.

Quality 4.0 still rests on a working quality management system. See QRC’s ISO 9001 consulting services and AI-powered ISO consulting.

Call (800) 244-5409 or request a consultation.

• October 24, 2019
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