Data and AI maturity: clarify your priorities
In a few figures...
5weeks
to objectively assess your maturity level, analyse your gaps and provide prioritised recommendations.
200
Questions that can be used in a structured questionnaire covering 12 key pillars of data and AI maturity.
22%
SMEs and mid-sized companies believe they are capable of correctly exploiting their data, while 88 % are convinced that this can improve their performance.
44%
respondents* report encountering difficulties in adopting their data projects.
*to the 2024 enterprise data and AI maturity observatory survey.Our approach to data and AI maturity
Many businesses are investing in data, AI, cloud tools, or governance without always knowing where to start, what to prioritise, or how to link these initiatives to their business objectives. The real issue is not just measuring a level of maturity, but having a clear decision-making framework to guide investments, overcome adoption barriers, and accelerate the uses that truly matter. In short, we help organisations transform their Data and AI maturity as a lever for transformation, not as a theoretical exercise.
A clear vision of your maturity level
We help data departments, IT departments, and executive management to objectively assess their data and AI maturity levels. The goal isn't to produce a score for the sake of it, but to identify the most critical gaps between the company's ambition and its actual capacity to leverage its data. This clarification is particularly useful when initiatives are multiplying, priorities are competing, or governance remains incomplete.
A business read, not just technological.
Data and AI maturity is not just about the modernity of the IT system or cloud adoption. The difficulties often stem from more cross-cutting issues: insufficient governance, poorly defined roles, low adoption by business units, inconsistent data quality, and a lack of strategic alignment. The 2024 Observatory results indeed show that the adoption of data projects remains a significant point of friction, and few companies consider themselves truly capable of properly exploiting their data.
A structured diagnosis to prioritise the real projects
We are organising a structured workshop-based diagnosis, with a ready-to-use framework, to analyse current practices, identify bottlenecks objectively, and define priorities. All this will be done through a format based on 6 to 8 2-hour workshops, a structured questionnaire, and an actionable review within 5 weeks.
An actionable and prioritised roadmap
The expected deliverable is not just a status update. We are building a road map with prioritised actions to help the company decide where to invest, which topics to address first, and how to sequence the transformation. This approach meets a very concrete need: to make better decisions regarding governance, quality, acculturation, architecture, organisation, and usage, without spreading efforts too thinly.
A useful approach whatever your starting level
This approach is relevant for companies that are still largely unstructured and want to launch their first data and AI initiatives, as well as for more advanced organisations facing malfunctions, insufficient adoption, or a need for strategic reorientation. In short: start methodically or reorganise an already established trajectory.
The key deliverables
- Positioning and Maturity Analysis Report
- Structured evaluation according to a multi-pillar framework
- Summary of critical deviations and points of attention
- Prioritised Roadmap and Action Plan
- Strategic and organisational recommendations
- Acculturation option: Data & AI for teams
- Capacity for support in the implementation of recommendations
The benefits
Clarify where you really are
We help businesses objectively assess their maturity level to move beyond partial or overly technical perceptions.
Prioritise the building sites that create value
We are highlighting the actions to launch first to align data and AI investments with business objectives.
Reduce adoption barriers
We help to identify the organisational, cultural and business blockers that prevent data initiatives from achieving their full impact.
Better connect strategy, governance and usage
We are building a coherent reading between transformation ambitions, data governance, and actual execution capacity.
Provide an actionable direction for transformation
We transform diagnosis into a prioritised roadmap, with a clear framework for deciding, sequencing and moving forward.
Our 5-step approach
1. Define the business and organisational challenges
We start from the company's objectives, its pain points and its data and AI ambitions to establish the right level of analysis.
2. Appraise current practices
We are conducting workshops and a structured questionnaire to objectively assess the reality of practices across the main maturity pillars.
3. Identify critical gaps
We are analysing the weaknesses, misalignments, and risks that are hindering data and AI value creation.
4. Prioritise actions
We prioritise recommendations based on their impact, feasibility, and alignment with the company's strategy.
5. Prepare to move off
We provide a clear roadmap and, if necessary, support teams in implementing the recommendations.
The expert's word
Pascal DURY
VP Data management – JEMS
«Many companies already have the foundations in place. The real challenge is to link governance, organisation, practices and strategy to create a coherent trajectory.»
Pascal DURY
VP Data Management – JEMS
OUR RESOURCES
White paper
Maturity Data, Key to Sustainable Performance
How to transform your data into a lever for sustainable efficiency and innovation?
Checklist
ARE YOU READY FOR THE AI ACT?
An essential checklist to assess your compliance
and structuring your AI Act compliance
Our additional services
How can we help you ?
AI for Business
Deploy a useful, measurable AI in your business, fully integrated into its operations.
Agent-based AI
Deploy AI agents capable of automating, orchestrating, and adapting business processes, with a progressive, interoperable, and value-oriented approach.
AI Acculturation
An offer to help business leaders understand AI, identify high-impact use cases, and launch proof-of-concepts (POCs) ready for implementation in under 6 months.
IA Act compliance
A structured offering to help frame, steer and operationalise the AI Act requirements with a regulatory, technical and data-driven approach.
Data governance
To help data leadership make data governance more accessible, through an AI agent capable of querying existing catalogues in natural language.
Data Platform
A key, secure, and scalable all-in-one data platform, designed for SMEs and mid-sized companies that want to take action without embarking on a long, costly, and complex project.
Examples of achievements
Clarify yours Data and AI maturity
Have a discussion with a JEMS expert to assess your situation objectively, identify your priorities, and build a truly actionable roadmap.
