What do we do and why?

Set your team up for success, ensure momentum is gained, maintained, and supported by scalable infrastructure and delivery-focused processes. Our Capability solution enables your team to work effectively and collaboratively as soon as possible.

Long development cycles make for short memories. Repeatably leverage hard-won successes across multiple programmes and avoid reinventing the wheel.

People-centric and relentlessly focused on programme delivery, QR_ recently drove a consortium wide, 200-fold crash build programme for a regulated medical device.

What makes us unique?

80 percent of all new complex engineered projects are late or overbudget. Why should non-delivery be the norm? Our Accelerate solution inspires the creativity to go faster.

Short release times enable growth, which for many is survival. However, balancing quality control with business constraints, while leveraging data to inform real-time decision making and creating a true picture of programme health can be challenging.

Working alongside a military vehicle manufacturer, QR_ recently reduced average programme timing overruns from 50 to 15 percent.

What does it mean for you?

An engineering team is a billion-dollar asset. Release them to engineer and deliver the competitive advantage to thrive. Our Efficiency solution provides the insight to deliver differently.

Expensive talents burdened by admin work is an inefficient and demotivating use of resource. QR_ empowers engineering teams to deliver to the best of their capabilities, optimising business process and data entry to improve engineering performance.

Our recent optimisation activity at a global automotive OEM yielded 50 percent less quality check failures and a 70 percent reduction in time spent on admin tasks.

Reshaping a people-centered industry: 7 takeaways from the Reuters Automotive USA 2023 conference

The power of data and proper data management are increasingly being embraced by manufacturing businesses as they embark on the journey to become truly data-driven organisations. Quick Release is uniquely focused on this, connecting the operating model silos to curate timely, accurate and human centric information flows. Recognising that the foundation of a Data-driven Organisation is data quality. QR_‘s experience has led to an approach to NPD and PDM that connects silos, and marries the efficiency and precision of a best-in-class process of timely, accurate, and human-centric insights.

Forbes again identifies QR_ among "world's best management consulting firms"

Based on client and peer feedback, QR_ returns to the Forbes 'World's Best Management Consulting Firms' list for the second time following the index's introduction in 2022. Here’s our take on how we can mix it with the heavy hitters and in many cases come out on top.

Industry Reflections - 14. Value stream mapping

For the 14th instalment of 'Industry Reflections', Lionel Grealou examines value stream mapping, and how it can empower stakeholders at all levels to implement improvements and changes that add measurable value to their organization.

Reshaping a people-centered industry: 7 takeaways from the Reuters Automotive USA 2023 conference

The power of data and proper data management are increasingly being embraced by manufacturing businesses as they embark on the journey to become truly data-driven organisations. Quick Release is uniquely focused on this, connecting the operating model silos to curate timely, accurate and human centric information flows. Recognising that the foundation of a Data-driven Organisation is data quality. QR_‘s experience has led to an approach to NPD and PDM that connects silos, and marries the efficiency and precision of a best-in-class process of timely, accurate, and human-centric insights.

Forbes again identifies QR_ among "world's best management consulting firms"

Based on client and peer feedback, QR_ returns to the Forbes 'World's Best Management Consulting Firms' list for the second time following the index's introduction in 2022. Here’s our take on how we can mix it with the heavy hitters and in many cases come out on top.

AI and your Bill of Materials: why token limits are nothing new

Traditionally BoM validation is conducted either manually by engineers that understand the product (e.g. BoM Audits, Build Matrices, Commodity Quantity Checks etc.) or through simply building the product (either virtually or physically) and finding the errors that result. Both methods are highly costly in time and material waste. These experiments aim to find a third way, by using the recent advances in Foundation Models to create a smart and repeatable method of performing fast and accurate AI powered BoM Validation at scale. These some early reflections on working with LLMs in this context. | Image: “a large language model in the style of the earliest computing 1950s”, generated by Midjourney.