Executive Summary:

The International Association of Oil & Gas Producers (IOGP) is the global voice of the oil and energy industry, representing organizations that produce over 40% of the world’s oil and gas. For more than 50 years, IOGP has advanced knowledge and best practices across safety, health, environment, engineering, and energy transition, fostering collaboration among thousands of experts worldwide.

Within this context, the Joint Industry Program 33 (JIP33) emerged as a strategic initiative to standardize and improve the specification, procurement, and delivery of equipment across the oil and gas sector. With over 500 subject matter experts (SMEs), the team has developed 59 specifications over five years. These specifications have been downloaded over 370,000 times and supported $5 billion in equipment procurement. By eliminating redundancies and inefficiencies in requirements, JIP33 has delivered measurable benefits, including shorter lead times, smaller inventories, and clearer, more actionable documentation.

A defining insight from JIP33 is that experience alone does not guarantee exceptional outcomes. While expertise provides critical context and judgement, it can also reinforce outdated processes that mask inefficiencies or delay improvements. To address this, JIP33 partnered with QRA and incorporated intelligent automation into its authoring and review workflows. QVscribe provides instant suggestions and rewrites, automated checks, and actionable feedback as engineers write, enabling them not only to identify issues but also understand how and why to correct them in real time. With Natural Language Processing (NLP) and configurable analysis tailored to diverse engineering disciplines, authors produce requirements that are clear, complete, consistent, and verifiable—reducing rework and elevating quality from the very first draft.

This also modernized the requirement education model for JIP33. Instead of relying on slow, passive “read and learn” training, authors learn by doing, supported by active guidance directly inside their requirement management system. Cognitive suggestions help new and experienced engineers gain confidence faster while senior reviewers focus on higher-level coaching, essential content validation, and project context. This approach scales requirement quality, accelerates onboarding, and focuses engineering on what matters. The shift reduces review burden for senior engineers and ensures that best practices are reinforced continuously, helping teams scale high-quality requirements authoring without sacrificing productivity.

JIP33’s success demonstrates the transformative potential of combining standardized processes with intelligent automation and continuous learning. It underscores the importance of balancing experience with deliberate practice and the right technological tools, demonstrating that even in highly specialized, regulated industries, structured guidance, feedback, and innovation drive exceptional results.

In this case study, the JIP33 team shares their journey with QRA, revealing how they transformed requirement authoring into a streamlined, high-quality process. These insights provide a practical roadmap for organizations in complex, mission-critical industries—such as oil and gas, aerospace, automotive, and MedTech—looking to optimize workflows, reduce errors, and elevate the capabilities of engineers at all experience levels. 

Download the full case study to discover how JIP33 set a new benchmark in requirements quality, and how these principles can elevate your workflows.