AI Maturity Audit
Full assessment of your processes, data, and skills. Identification of practical AI opportunities and missing prerequisites before investing.
What you get
AI maturity mapping across 5 axes (data, processes, skills, culture, infrastructure)
Identification of 5 to 10 priority AI use cases for your industry
Gap analysis: missing prerequisites and upgrade costs
Prioritised roadmap with quick wins (0-3 months) and strategic initiatives (6-12 months)
Industry benchmark: where you stand relative to competitors
The approach
Interviews & data collection
Interviews with business teams, IT, and leadership. Analysis of existing processes, available data, and tools in place. Scoping distinguishes existing uses, tasks to improve, and each team's constraints. Findings are checked against documents and work examples, not just stated intentions.
Scoring & analysis
Structured assessment across the 5 maturity axes. Identification of high-impact, low-complexity use cases. Data: quality and access; processes: tasks and review steps; skills: ability to use AI and check its output; culture: adoption and responsibilities; infrastructure: tools, integrations, and security.
Debrief & roadmap
Presentation of results to the executive team. Delivery of the prioritised roadmap with budget estimates. Each opportunity is assessed against expected value, effort, required data, and risks. The debrief distinguishes feasible experiments, their starting conditions, and projects to postpone until prerequisites are met.
Investment
Pricing by quotation. Each engagement is priced individually. Contact us for a quote tailored to your context.
Frequently asked questions
What is an AI maturity audit? +
An AI maturity audit assesses an organisation's ability to use artificial intelligence in its work. It connects business objectives with available data, processes, skills, culture, and infrastructure. The result is a gap assessment and a roadmap for deciding what to test, prepare, or postpone.
How long does an AI maturity audit take? +
Between 1 and 2 weeks depending on organisation size. A flash assessment (1 week) covers key processes. A full audit (2 weeks) includes interviews with all departments.
Do we need structured data to get started? +
No. The audit starts with interviews and an analysis of the current state. Even without a centralized database, we identify use cases and missing prerequisites.
What do we get at the end of the audit? +
A maturity mapping across 5 axes, 5 to 10 prioritised use cases, a gap analysis, and a costed roadmap with quick wins and strategic initiatives.
How should we prepare for an AI maturity audit? +
Identify the teams involved, the tools they use, and two or three tasks you want to improve. Process examples, a list of data sources, and internal AI usage rules help scope the interviews. Relevant documents and sharing arrangements are agreed before collection; no sensitive case files are needed for the first discussion.
What should an AI maturity audit examine in social care organisations? +
In a social care organisation, the assessment should distinguish support functions from care delivery. Searching internal procedures, preparing materials, and administrative reporting are possibilities to assess against actual needs. Each requires clarity on the data involved, authorised access, and expected human review. Uses affecting care decisions need specific scoping with service leads and those responsible for data protection.
Related services
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1 to 2 weeksAI Adoption Strategy
AI roadmap: which use cases to prioritise, which tools to adopt, what to build in-house. Aligned with your business goals.
3 to 6 weeksGot a project in mind?
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