AI maturity assessment · Executive, transformation and IT leadership
AI maturity assessment: decide where to invest.
In four weeks.
Which AI projects should you launch, prepare and fund first? In four weeks, our partners assess your usage and deployment readiness across six dimensions. You receive a clear assessment, prioritised use cases and a 12–24-month roadmap.
Everyone in scope
Everyone is invited to 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
From scoping to final presentation
01 — UNDERSTANDING THE ASSESSMENT
What is an AI maturity assessment?
Further reading: AI assessment.
An AI maturity assessment evaluates what your business can deploy today and what it needs to progress. It examines usage, data, tools, skills, governance and decision-making capacity.
A promising pilot can stall because data is hard to access, responsibilities are unclear or checking time is underestimated. The assessment links these barriers to projects to decide which to launch, prepare or defer.
At Spentia, everyone within scope is invited to describe their work and AI use. Our partners cross-check interviews, documents and company data to build priorities suited to your organisation.
02 — DELIVERABLES
05 — DELIVERABLES
Your AI priorities, with a plan to deliver them.
You receive a map of AI use, a maturity assessment and an investment plan. Each priority links to the findings that justify it.
Further reading: prioritising AI use cases.
01
A map of AI use
Tools in use, activities involved and past or current projects. Identify useful practices, less visible uses and difficulties encountered.
02
A maturity profile across six dimensions
Your strengths, gaps between teams and requirements for deployment. Each assessment states its supporting facts and points to check.
03
AI priorities and roadmap
Use cases ranked by estimated value, feasibility and prerequisites. A 12–24-month roadmap sets out decisions, resources, owners and financial assumptions.
03 — OUR APPROACH
How does an AI maturity assessment work
over four weeks?
Four weeks from scoping to final presentation, for every interview scope: a company, division, function or several entities. We organise interviews and analysis to meet this deadline.
Week 1: Scope
We agree which teams are involved and which decisions to prepare. We list tools, AI projects and useful documents: usage rules, pilot feedback and indicators. Teams are briefed on the interview process.
Week 2: Listen
Everyone within scope is invited to an individual, confidential interview with Aria. They describe uses, perceived gains, difficulties and checking time. Individual responses are not shared with the company. Participation has exceeded 85% on every engagement.
Week 3: Analyse
Our partners cross-check accounts, documents and data to assess the six dimensions. They identify gaps between teams and rank use cases by value, feasibility, cost and prerequisites.
Week 4: Decide
We present the maturity profile and roadmap to leadership. With finance, we examine estimated gains and costs. You have the information needed to decide projects, resources and responsibilities.
04 — WHAT WE MEASURE
The six dimensions of AI maturity
assessed by Spentia.
We assess six conditions for success using interviews, documents and company data. You know where your organisation is ready and what it needs to strengthen.
Further reading: AI return on investment.
1 · Strategy and alignment
Objectives, budgets and expected results. We check that projects address business priorities.
2 · Data and sovereignty
Data quality, access, sensitivity and location. We examine how data flows to the tools and models in use.
3 · Technology and integration
Tools and their connections to IT systems. We assess the resources needed to deploy, supervise, maintain and correct them.
4 · Uses, skills and human–AI collaboration
Tool proficiency, training needs and the division of work between people and AI. We compare time saved with checking effort and required organisational changes.
5 · Governance and risk management
Usage rules, responsibilities, oversight and supplier dependencies. With your specialists, we identify legal, security and data-protection matters to examine.
6 · Ability to decide and deploy
Owners, resources and teams available for deployment. We check how alerts are escalated, who decides and what enables a pilot to become an everyday practice.
For each dimension: established facts, points to check and implications for your projects.
05 — IN PRACTICE
What the assessment reveals. The decisions it enables.
Three anonymised situations from our programmes. Sectors and figures have been changed; the underlying mechanisms are faithfully represented.
Advanced uses missing from the official inventory
The official tool inventory missed personal use and advanced practices already present in teams. Interviews revealed where time was being saved. Leadership could identify practices to extend and complete its usage register to prepare governance and AI Act work.
A pilot blocked by the decision process
A promising pilot had stalled: nobody owned the evaluation or the decision on what came next. The assessment identified this gap in the decision process. The project resumed with a leadership sponsor, indicators, a roadmap and a deadline.
Instructions that prevented action
Marketing encouraged AI while IT prohibited the use of customer data. With no rule connecting these instructions, teams abandoned projects. The assessment clarified which data and tools were allowed, and who decides when there is doubt.
06 — FROM ASSESSMENT TO ROLLOUT
From assessment
to rollout
You know which projects to launch, prepare or defer. Your teams have priorities, owners and resource requirements to organise the next steps.
For implementation support, the AI adoption programme takes over: preparing deployment with teams, training and six months of follow-up. It builds on the assessment.
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 questionnaire provides an initial indication from its participants’ answers. Spentia’s assessment cross-checks interviews, documents and company data. It explains gaps between teams, identifies deployment requirements and ranks projects to launch.
Why invite everyone within scope?
Why invite everyone within scope?
Uses and difficulties vary across teams. Inviting the full scope reveals these gaps and practices missing from the official inventory. Interviews are confidential and individual responses are not shared with the company. Participation has exceeded 85% on every engagement; your engagement’s rate is included in the findings.
What should we prepare before the assessment?
What should we prepare before the assessment?
Existing information is enough to begin: tools and AI projects, usage rules, pilot feedback, indicators and costs. During scoping, we identify business and IT contacts, then the information to complete.
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?
Four weeks from scoping to final presentation, for every interview scope: a company, division, function or several entities. The 12–24-month roadmap concerns actions to take after the assessment.
How much does an AI maturity assessment cost?
How much does an AI maturity assessment cost?
The fixed fee is agreed during scoping based on scope, number of entities and analysis complexity. It includes interviews, partner analysis and the final presentation. The price is set before launch. Deployment support has a separate scope.
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.