AI Native Operating Models
Helping organisations redesign their operating models around AI capability, transforming how they are structured, how they work and how they deliver value.
Trusted by organisations to design and deliver AI-native operating model transformations across structure, processes, workforce and technology.
We partner with organisations to redesign their operating models around AI capability, working across organisational structure, processes, workforce and technology to deliver transformations that are structured, sequenced and built around how the organisation operates.
We help leadership teams understand what an AI-native operating model means for their organisation, define what needs to change and execute the transformation required to achieve it.
We work with organisations at any stage of transformation maturity, from those designing an AI-native operating model from the ground up to those looking to accelerate an existing transformation that has not yet delivered the structural and operational change it set out to achieve.
We deliver AI native operating model engagements from initial assessment through to operating model design, transformation planning and delivery, working closely with senior leadership, technology and operational teams throughout.
Our partnerships begin with a structured assessment of your current operating model, identifying how work flows through your organisation, where decisions are made, where AI and automation could fundamentally change how processes operate and where the greatest opportunities for transformation exist.
We assess organisational structure, process maturity, workforce capability and the technology and data architecture that will need to support an AI-native way of working. From that assessment, we design a target operating model that reflects your organisational objectives, the AI capabilities you are building and the pace at which your organisation can realistically transform. Organisational design work addresses structure, roles, accountability and the governance needed to operate effectively with AI at the centre of how the organisation works.
Process redesign identifies the core processes most amenable to AI-driven transformation, re-engineering them to leverage AI and automation at scale. We work with your operational teams to map current processes, identify inefficiencies and redesign workflows with AI capability at the centre of how they operate.
Workforce and capability transformation is addressed as a core workstream throughout. We assess current capability gaps across skills, roles and ways of working, define what the target operating model requires from your people and develop a transformation plan that addresses how your organisation will build, acquire and retain the capability it needs to operate effectively with AI at scale.
Technology and data architecture alignment ensures the systems, platforms and data infrastructure needed to support the target operating model are identified and planned for as part of the transformation, connecting operating model design to the technical delivery required to realise it.
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
Designing and delivering AI-native operating model transformations
From redesigning organisational structure and core processes, to building the workforce capability and technology foundations needed to operate effectively with AI at scale.
Designing an organisational structure, governance and ways of working built around AI capability, defining how your organisation needs to change to operate effectively with AI at the centre of how it delivers value.
Re-engineering core processes to leverage AI and automation at scale, redesigning workflows with AI capability at the centre of how they operate and identifying where automation can fundamentally change ways of working.
Building the skills, roles and culture needed to operate as an AI-native organisation, assessing current capability gaps and developing a transformation plan that addresses how your organisation will build and sustain AI capability over time.
The way that we work is that we are subject matter experts, we know our business, we know our customers, we can then have that conversation with the team at Audacia. It is very much a collaborative 2 way process and the level of communication is just fantastic.
- Tom Broadbent, AESSEAL plc
Delivering AI-native operating model transformations for organisations across industries
From redesigning operational structures and processes, to building AI capability and ways of working across large-scale enterprise functions.
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 through research, the NIHR works in partnership with the NHS, universities, local government, other research funders, patients and the public to deliver and enable world-class research that transforms people’s lives, promotes economic growth and advances science.
Northern Trains is a train operating company that provides services across the North of England. With over 500 calling stations, the company connects major cities like Manchester, Leeds and Newcastle. The company plays a crucial role in facilitating transportation and commuting for thousands of passengers every day.
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.
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
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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.
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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.
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.
