Having spent the past decade delivering AI and machine learning projects, Psycle achieved ISO 42001 certification to ensure innovation is matched by responsible, secure and ethical AI practices. Why did we do it?
In a world where the rapid evolution and hype of Artificial Intelligence has stretched every Government’s ability to regulate and provide a framework for technology companies using it, the International Organization for Standardization (ISO) established an internationally recognised standard, known as ISO 42001. Over the past decade, we have worked at the forefront of applied AI and machine learning, partnering with Google amongst others to explore what these technologies can deliver. Developing tools that push digital humanities such as our work on machine learning-driven hieroglyph translation, to creating applications with real-world use cases, such as NoseID, which uses AI to generate unique biometric profiles to help reunite lost pets with their owners, we’ve seen first-hand the potential of AI and complexity of deploying it responsibly. So we decided to undertake the not insignificant task of obtaining this certification. And in doing so, we became one of the very few agencies to achieve it but why did we do it and what are the benefits to us and our clients? Firstly, it is worth explaining what the certification does.
ISO 42001 essentially provides a structured framework for addressing the opportunities and risks of AI through ethics, transparency, and continuous improvement. It offers organisations and businesses a way to align their objectives and ethical standards on the use of AI. Everything from the establishment and implementation to maintenance and continual improvements of so called Artificial Intelligence Management Systems (AIMS). Whether building products that incorporate AI or using services that incorporate AI systems, the standardisation covers the responsible use and development of AI.
AI is transforming industries at an unprecedented pace, but its rapid adoption brings significant challenges. Misuse, unchecked reliance, and insufficient oversight - all things we have witnessed and heard about in conversations with many organisations and read about in well documented news stories - can expose organisations to risks such as data breaches, compromised security, and the erosion of trust in long-standing systems. As AI evolves, ensuring its responsible use is not just a best practice, it is vital for maintaining quality, security, and transparency in modern business.
Responsible AI development goes beyond adopting technology - it requires embedding trust and accountability into every stage of the process. Before we outline what those risks are, it is worth summarising that there are three different scenarios we are currently facing in: the development of AI/ML models themselves, the embedding of AI services with customer platforms - which is where most of our customers are asking for help - and the use of AI for knowledge purposes and the production of work. Whilst the benefits of deploying AI are broadly clear, the risks posed by AI are significant:
Data Security: Sharing sensitive information with AI tools can lead to unintentional data leaks or unauthorised usage.
Code Integrity: AI-generated code can introduce vulnerabilities, outdated components, or errors, compromising product security and functionality. It is simply not enough to rely on traditional security compliance protocols - new ways of working must be embraced.
Bias and Oversight: Entrusting AI with knowledge work or development tasks without expert review may introduce biases or reduce quality assurance.
ISO 42001 helps us identify, assess, and mitigate these risks effectively. Much like health and safety protocols or environmental assessments, adopting a robust AI management framework empowers us to make informed decisions. Such as when - and when not - to use AI in our workflows for code and production, as well as when AI is applicable in the end product for our clients.
At Psycle, we have always prioritised quality and security by keeping all production work in-house. This decision reflects our commitment to ensuring our clients receive work of the highest standards. Integrating AI requires the same level of diligence. Whether we are using AI to produce secure, reliable code or to protect confidentiality, ISO 42001 enables us to innovate with responsibility.
“AI has the potential to revolutionise how we work, but with great power comes great responsibility,” says Debra Fry, Managing Director at Psycle.
“Many organisations struggle to maintain trust and quality as they outsource or adopt cost-saving technologies. AI amplifies these challenges. With ISO 42001, we have established a framework that builds on our existing ISO 9001, 14001 and 27001 accreditation, which safeguards our clients and our business, ensuring that innovation never comes at the expense of quality or ethics.”
Psycle’s adoption of ISO 42001 underscores our position as a leader in the digital space. This certification ensures we remain a trusted partner for brands and institutions navigating the complexities of digital transformation. And it represents a vital step towards shaping an AI-powered future that prioritises accountability, fairness, and long-term value.
For almost three decades, Psycle has been a global digital partner, pioneering transformative solutions for some of the world’s most prominent brands. We believe this certificate aligns to our core business principles and ultimately gives our clients the assurance they need. Achieving ISO 42001 is a testament to our unwavering dedication to innovation, responsibility, and excellence. Something we are very proud of.
Read about how we used AI and Machine Learning to build an app that reconnected dog owners with their missing pets.
