AI maturity assessment · Executive, transformation and IT leadership
Assess your AI use. Prioritise your investments.
In four weeks.
Which uses of AI already work in your business? Which projects should you fund, and what needs to be in place to deploy them? In four weeks, we assess your AI maturity across six dimensions, drawing on your teams’ experience, documents and available data. You receive an evidence-based assessment, prioritised use cases and a 12–24-month roadmap to inform your decisions.
Everyone in scope
Everyone within scope is heard through an individual, confidential and anonymous interview.
6 dimensions
From current uses to deployment readiness
Fixed fee
Agreed with the scope at the outset
4 weeks
Your assessment and priorities for the agreed scope
01 — UNDERSTANDING THE ASSESSMENT
What is an AI maturity assessment?
An AI maturity assessment examines an organisation’s ability to use and deploy AI in support of its goals. It looks at existing uses, data quality and accessibility, tools, skills, governance rules and decision-making processes. It identifies which conditions are already in place and which need strengthening before further investment.
A company may have experienced employees and promising pilots yet struggle to deploy them: data may be hard to access, responsibilities unclear, checking effort underestimated or benefits insufficiently measured. The assessment connects these findings to planned projects to distinguish what can move forward, what needs preparation and what should be deferred.
At Spentia, everyone within scope is invited to describe their work and AI use. Our partners cross-check this input against documents and available data. You get an assessment of your organisation, with evidence supporting the conclusions and assumptions still to verify.
02 — DELIVERABLES
05 — DELIVERABLES
A practical framework
for making decisions.
The report brings together the current situation, maturity profile and investment priorities. Findings, estimates and points to verify are clearly distinguished to prepare leadership decisions.
01
A map of AI use
Tools, uses reported by teams and past or current initiatives, linked to the activities involved. The report highlights useful practices, difficulties and information still to verify.
02
A maturity profile across six dimensions
An assessment of your organisation, differences between teams and the conditions required for planned projects. Each judgement is accompanied by supporting evidence and its limitations.
03
AI priorities and roadmap
Use cases ranked by estimated value, feasibility and prerequisites. The 12–24-month roadmap sets out decisions, resources and responsibilities to plan for. Assumptions about gains and costs are made explicit wherever they can be quantified.
03 — OUR APPROACH
How does an AI maturity assessment work
over four weeks?
The assessment combines scoping with leadership, team interviews and analysis of available evidence. The four-week schedule covers the scope agreed together. For multiple entities or countries, interview waves and consolidation are planned at the outset.
Week 1: Scope
With leadership, we define the teams involved, decisions to make and maturity needed for the planned projects. We inventory AI tools and initiatives, then examine available documents: usage policies, inventories, pilot feedback and monitoring data. Teams are informed about the purpose and format of the interviews.
Week 2: Listen
Everyone within scope is invited to an individual, confidential interview with Aria. Participants describe their activities, tools, perceived gains, difficulties and the checking time required. Individual responses are not shared with the company. Actual participation is reported in the findings.
Week 3: Establish the evidence
Our partners cross-check interview responses, documents and data to assess the six maturity dimensions. They distinguish established practices, differences between teams and points still to verify. Use cases are examined for estimated value, feasibility, costs and deployment requirements.
Week 4: Decide
Leadership reviews the maturity profile, proposed use cases and 12–24-month roadmap. Estimated gains, costs and assumptions are examined with finance. The report sets out decisions to make, resources to plan for and responsibilities to assign.
04 — WHAT WE MEASURE
The six dimensions of AI maturity
assessed by Spentia.
Our framework examines the conditions needed to advance your AI projects. Each dimension is assessed using interviews, documents and available data. The analysis identifies supporting evidence, differences between teams and missing information.
1 · Strategy and alignment
Your AI objectives, their connection to business priorities, committed budgets and expected results. The analysis also examines whether stated ambitions align with the projects actually launched.
2 · Data and sovereignty
The quality, accessibility and sensitivity of data needed for planned uses. We examine available information about where data is held, access conditions and how it flows to the tools or models used.
3 · Technology and integration
Available tools, their connections to your IT systems and the conditions for going live. Based on existing projects, we assess the resources needed to deploy, monitor, maintain and fix solutions.
4 · Uses, skills and human–AI collaboration
The activities involved, proficiency with tools, training needs and the division of tasks between people and AI. Time saved is examined alongside checking effort and the organisational changes required.
5 · Governance and risk management
Usage rules, responsibilities, oversight arrangements and dependencies on suppliers. Points requiring legal, security or data protection review are identified with the relevant specialists.
6 · Ability to decide and deploy
Project owners and sponsors, how issues are escalated, decision-making arrangements and team availability. The analysis examines how a project can move from experimentation to monitored use in daily work.
For each dimension, the report distinguishes what is established, what still needs verification and what this means for the projects to launch.
05 — IN PRACTICE
What the assessment reveals,
and the decisions it supports.
Three anonymised situations from our programmes. Sectors and figures have been changed; the underlying mechanisms are faithfully represented.
Potential already within the organisation
Scoping inventories official tools. Anonymous interviews uncover the rest: personal uses, advanced practices and tasks where time is already being saved. This builds a fuller inventory of AI use to support governance and the review of applicable requirements.
A pilot back on track
A promising pilot had stalled, with no owner or feedback mechanism. Analysis of the decision-making process identified the missing step. The pilot restarted with a sponsor, roadmap, KPIs and timeframe.
Conflicting internal rules
Marketing encourages AI use, IT prohibits entering customer data, and nothing clarifies what is permitted in between. Faced with uncertainty, teams do nothing. The missing rule fits on one page: which data, which tools and who decides. Projects can then move forward.
06 — FROM ASSESSMENT TO ROLLOUT
From assessment
to rollout
You have the evidence to launch some projects, prepare others and defer those whose value remains uncertain. Your teams can use the report to organise the next steps and track decisions.
If you want support, the AI adoption programme helps teams build their roadmap, implement actions, develop skills and track results. The assessment provides the starting point.
07 — WHO IT IS FOR
Who is the
AI maturity assessment for?
Executive and transformation leadership
You want to choose AI investments, set priorities and identify deployment requirements across a company or division.
Boards and shareholders
You need an evidence-based assessment to examine ambitions, committed resources and the risks associated with AI projects.
IT leadership
You want a shared view of AI use, dependencies and technical prerequisites to prioritise projects with business teams.
Subsidiary or function leadership
You want to assess your area, choose the first workstreams and plan the resources needed with the other functions involved.
08 — FREQUENTLY ASKED QUESTIONS
What leaders ask us.
How does an AI maturity questionnaire differ from an assessment?
How does an AI maturity questionnaire differ from an assessment?
A self-assessment questionnaire provides an initial indication based on participants’ responses. Spentia cross-checks team interviews, documents and available data. We examine differences between practices, deployment conditions and planned projects. The report makes clear which findings are supported, the limits of the assessment and the priorities to discuss with leadership.
Why invite everyone within scope?
Why invite everyone within scope?
Practices and difficulties can vary between teams. Inviting everyone within scope helps capture those differences and identify uses missing from the official inventory. Interviews are individual and confidential; individual responses are not shared with the company. Actual participation is measured and reported in the findings.
What should we prepare before the assessment?
What should we prepare before the assessment?
Scoping identifies useful information and what is already available: AI tool and project lists, usage policies, pilot feedback, monitoring indicators and cost information. Business and IT contacts are identified with leadership. You do not need a complete set of documents before the first discussion; missing information is part of what we clarify.
Does the assessment cover generative AI, agents and predictive AI?
Does the assessment cover generative AI, agents and predictive AI?
The scope can cover generative AI, agents and predictive models according to your organisation’s uses. We adapt what we examine: checking outputs and data used for generative AI; permissions and oversight for agents; performance monitoring for predictive models. Any in-depth technical checks needed are identified and scoped separately.
How does an AI maturity assessment differ from the adoption programme?
How does an AI maturity assessment differ from the adoption programme?
The assessment prepares investment decisions: the current situation, conditions for success and priorities. The adoption programme helps turn those decisions into changes in daily work through a roadmap, training and rollout support. Start with the service that fits your situation; a Spentia assessment is not a prerequisite for the programme.
How does it differ from the operational assessment?
How does it differ from the operational assessment?
The operational assessment and action plan addresses organisational performance: lead times, costs, capacity, cooperation between teams and growth opportunities. The AI maturity assessment focuses on AI use, deployment conditions and investment priorities. Your starting point depends on the question you want to address.
How long does an AI maturity assessment take?
How long does an AI maturity assessment take?
The Spentia assessment is designed to take four weeks within the scope agreed at the outset. It can cover a company, division or function, depending on the question and resources available. For a group with multiple entities, the interview waves and consolidation follow a specific schedule. The 12–24-month roadmap refers to the timeframe for actions proposed after the assessment.
How much does an AI maturity assessment cost?
How much does an AI maturity assessment cost?
We agree a fixed fee during scoping. It depends on the scope, number of entities and complexity of the analysis. The fee includes interviews, analysis by our partners, the findings report and preparation of decisions. Terms and fees are agreed before launch. Any rollout support is scoped separately.
How does the assessment address governance and compliance?
How does the assessment address governance and compliance?
The assessment inventories existing uses, rules and responsibilities, then identifies points needing further review. These findings inform the work of your IT, legal and data protection teams. Necessary technical or legal checks are specified in the roadmap and assigned to the relevant specialists.
