AI & Data Maturity
Providing enterprise and public sector organisations with an independent, evidence-based view of their AI and data capability.
Assessing AI and data maturity across people, process, technology and governance to help organisations direct investment where it will have the greatest impact.
We deliver AI and data maturity assessments for enterprise and public sector organisations, providing an independent, evidence-based evaluation across people, process, technology and governance. We give leadership teams a clear picture of where their organisation stands, where the most significant capability gaps lie and where AI and data investment will have the greatest impact.
We work with organisations at any stage of the AI and data journey, from those taking their first structured look at their data and AI capability to those seeking an independent assessment to validate and sharpen an existing improvement programme.
AI and data maturity engagements are structured around your strategic objectives, the dimensions of capability most relevant to your organisation and the investment decisions the assessment needs to inform.
Maturity projects begin with a structured scoping phase to agree the assessment framework, the dimensions of maturity to be evaluated and the stakeholders whose input is needed to build an accurate and complete picture. We assess maturity across data infrastructure and architecture, data governance and quality, AI capability and readiness, and the organisational and cultural factors that determine how effectively AI and data can be adopted and scaled.
Assessment is conducted through a combination of stakeholder interviews, technical reviews and documentation analysis, building an evidence-based view of current capability across each dimension. Findings are benchmarked against industry standards and the maturity levels typically needed to support the AI and data ambitions your organisation has defined.
Gap analysis identifies the most significant capability gaps relative to your strategic objectives, with each gap assessed for its impact on AI and data delivery and the investment and effort required to address it. Gaps are prioritised based on strategic importance, delivery risk and the sequencing dependencies between them.
The improvement roadmap translates gap analysis findings into a structured, sequenced plan for building AI and data maturity over time. Initiatives are grouped into near, medium and longer term horizons, with clear ownership, success metrics and the dependencies between workstreams mapped to give your organisation a realistic and actionable path forward.
Findings and recommendations are presented in formats designed for both technical and executive audiences, ensuring the assessment supports informed decision making 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
Helping organisations build a clear, evidence-based picture of their AI and data capability
From structured maturity assessments across people, process, technology and governance, to gap analysis and improvement roadmaps that direct investment where it will have the greatest impact.
Evaluating current AI and data capability across people, process, technology and governance, benchmarked against industry standards and your organisation's strategic objectives.
Identifying the most significant AI and data capability gaps relative to your strategic objectives, assessing impact and investment requirements and prioritising where to focus first for the greatest return.
Defining a structured, sequenced plan to build AI and data maturity over time, with initiatives grouped into delivery milestones, with clear ownership and the dependencies between workstreams mapped to support realistic planning.
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 and data maturity assessments for organisations across industries
From structured capability assessments for enterprise technology leaders, to improvement roadmaps that direct AI and data investment across complex public sector programmes.
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.
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.
A leading appliance and electronics retailer, selling the best of appliances and televisions to over a million satisfied customers, providing high-quality products at competitive prices and standing as an independent elite retailer.
They had a great culture and pragmatic approach, challenging us to think about the data strategy rather than fixing just a short term problem.
- IT Director, Leading Appliance and Electronics Retailer
Our latest insights in AI and digital strategy
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.
