Governance, Risk and Security
Helping enterprise organisations deploy AI and digital technology safely, responsibly and in compliance with the regulatory and security requirements they operate within.
Establishing the governance frameworks, managing the risks and meeting the security and compliance requirements associated with AI and digital programmes.
We work with enterprise organisations to address the governance, risk and security challenges that arise as AI and digital programmes scale. From establishing AI governance frameworks and responsible AI policies, to managing regulatory compliance and advising on the cyber security risks associated with complex digital systems, we provide the advisory and delivery capability needed to deploy AI and digital technology with confidence.
We work with organisations across a range of governance, risk and security needs, from those establishing governance frameworks for their first major AI programme to those managing the regulatory and security requirements of large-scale, multi-system digital estates.
We deliver governance, risk and security engagements from initial assessment through to framework design, implementation and ongoing advisory, working closely with senior leadership, technology, legal and compliance teams throughout.
Every engagement begins with a structured assessment of your current governance, risk and security posture, identifying the regulatory requirements your organisation operates within, the risks associated with your AI and digital programmes and the gaps in your current frameworks and controls. We assess governance structures, risk management processes, security controls and the compliance obligations most relevant to your sector and operating context.
From that assessment, we design and implement governance frameworks that give your organisation the oversight, accountability and controls needed to deploy AI and digital technology responsibly. AI governance frameworks address model oversight, data usage, bias and fairness, explainability and the escalation and review processes needed to manage AI risk across the organisation.
Risk and compliance management is addressed as a structured workstream, identifying the regulatory requirements most relevant to your AI and digital programmes, including the EU AI Act, GDPR, sector-specific regulations and emerging AI governance standards, and defining the processes and controls needed to meet them. We work with your legal, compliance and technology teams to ensure governance frameworks are grounded in your specific regulatory context.
Cyber security advisory covers the security risks associated with AI and digital systems, including data exposure, model vulnerabilities, API security and the broader security implications of deploying AI within complex enterprise environments. We advise on security architecture, controls and the ongoing monitoring needed to maintain a strong security posture as systems and threats evolve.
Findings, frameworks and recommendations are documented clearly and presented in formats designed for both technical and executive audiences, ensuring governance, risk and security considerations are understood and acted on at every level of your organisation.
Commodity contracts and services supported for one of the world's largest agricultural organisations
Funding allocation managed each year for the nation’s largest funder of health and care research
Pupils tracked across 12,000 UK wide schools
Annual sales supported through a knowledge management platform for a global manufacturer
Delivering governance, risk and security engagements for organisations across industries
From establishing AI governance frameworks for large-scale enterprise AI programmes, to managing regulatory compliance and cyber security risk across complex digital estates.
Establishing the frameworks, policies and oversight needed to deploy AI safely and responsibly, covering model oversight, data usage, bias and fairness, explainability and the escalation and review processes needed to manage AI risk.
Identifying, assessing and managing the regulatory and compliance risks associated with your AI and digital programmes, including the EU AI Act, GDPR and sector-specific regulations, and defining the processes and controls needed to meet them.
Advising on the security risks associated with AI and digital systems, including data exposure, model vulnerabilities and API security, and providing recommendations on the architecture, controls and monitoring needed to maintain a strong security posture.
They are a key business partner because of their high-quality work and its impact on our business. Our organisation believes that quality is key, and we’ve found that Audacia buys 100% into that. They always try to meet our requirements, no matter how challenging.
- George Thomson, Story Homes
Delivering governance, risk and security engagements for organisations across industries
From establishing AI governance frameworks and responsible AI policies for large-scale enterprise programmes, to managing regulatory compliance and cyber security risk across complex digital estates.
The National Institute for Health Research (NIHR) is the nation’s largest funder of health and care research, with a mission to improve the health and wealth of the nation, transforming people’s lives, promoting economic growth and advancing science.
ADM Agriculture is a UK subsidiary of ADM, one of the world’s largest agricultural processors and food ingredient providers, with more than 31,000 employees, serving customers in 170+ countries.
Juniper Education is a comprehensive education support service who provides software, training and professional services to Schools across the country.
STERIS is a leading global provider of products and services that support patient care with an emphasis on infection prevention, focused primarily on healthcare, pharmaceutical and medical device customers, with more than 17,000 associates worldwide.
Audacia created a commodities trading platform that meets our immediate needs today and has the capability to scale in line with our future business plans. We continue to work collaboratively together to further optimise a number of business functions through automation.
- Simon Lennon, ADM
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Insights on the latest industry developments, strategic thinking and organisational approaches to AI and digital transformation across enterprise and public sector organisations.
Half of everything software teams build is wasted. This is a consistent finding across multiple studies and decades of data, and it should be the starting point for any conversation about digital product delivery. This article looks at why technology projects consistently lose focus on user outcomes, what the evidence says about the impact of user-centred delivery, and how engineering leaders can build the discipline of tying every feature to genuine user value.
More than 80% of AI projects fail which is twice the rate of non-AI IT projects. This article explores the five reported consistent root causes of this failure: starting with technology instead of a business problem, weak executive sponsorship, poor data readiness, no path to production, and treating AI like a traditional IT project.
Increasingly, AI is being woven into the fabric of modern engineering. Whether it’s enterprise models like ChatGPT, off-the-shelf cloud tools or bespoke machine learning pipelines. This article sets out a practical foundation for technology leaders looking to implement or update AI governance.
Talk To Us
As a first step in the process, we offer a free consultation around your current setup. We'll discuss your challenges and goals and see whether we could be a good fit for delivery.
