AI Acculturation: Identify and Scope Your First Use Cases
In a few figures...
42%
companies abandoned the majority of their AI initiatives in 2025, up from 17 % a year earlier, according to S&P Global Market Intelligence as reported by CIO Dive.
-6 month
to move from AI acculturation to structured, launch-ready POCs.
20%
European companies were using at least one AI technology in 2025, compared to 13.5 % in 2024.
Our offer
Generative AI and artificial intelligence more broadly open up strong prospects in terms of productivity, competitiveness, and innovation. But for many companies, especially on the business side, the subject remains difficult to translate into concrete decisions: where to start, which use cases to prioritise, which risks to anticipate, and how to avoid scattered POCs or those without clear business value. This offer ofAI acculturation aims to help organisations structure an initial useful approach, focused on use cases, ROI, and taking action.
AI acculturation designed for business departments
The offering is primarily aimed at business departments facing increasing pressure around AI, without always having a clear framework for decision-making. The goal is not to start with the technology, but to make the subject understandable, concrete, and actionable for the functions driving transformation, performance, and innovation. This approach addresses a market reality: adoption is progressing rapidly, but many companies remain at an experimental or fragmented stage.
An AI approach focused on use cases
JEMS is based on a simple conviction: the benefits of AI are first and foremost built on specific use cases. Our offering combines awareness-raising, opportunity identification and POC framing to transform a sometimes diffuse interest into clearly defined projects. This approach is in line with the findings of recent studies: companies that capture value do not simply test tools, they rethink processes, structure uses and align technology more closely with business needs.
An offer of AI acculturation towards ready-to-launch POCs
The intervention is structured in three stages: acculturating the teams, identifying priority use cases, and then framing the first POCs. The aim is not simply to raise awareness in theory, but to produce 2 to 3 defined use cases, including quick wins and a subject with the greatest business potential, with a scope, schedule, risks, costing and expectations. This responds to a common challenge: many AI initiatives are launched too quickly, then abandoned because of a lack of framework, governance or alignment with the expected business value.
A data-driven, AI and innovation approach
JEMS' positioning is primarily based on its data expertise, then on its ability to transform this foundation into a credible AI trajectory. The company highlights its experience on AI projects, its technological vision, as well as a broader heritage around incremental innovation, prototyping, and test and learn.
The key deliverables
- AI Acculturation Sessions with a Business and Technological Angle
- Workshops for identifying priority use cases
- Qualification of opportunities according to value, risk and feasibility
- Selection of quick win use cases and a more strategic case
- 2 to 3 POCs ready to launch
- Planning, scope, ROI assumptions and major implementation choices
- Clear restitution for business decision-makers
- Recommendations for the next steps in the AI approach
The benefits
A better understanding of AI without the noise of the market
We help business departments distinguish between grand pronouncements and opportunities that are genuinely useful for their activities.
Identify AI use cases that are consistent with your challenges
Our approach allows us to link AI to concrete issues of performance, quality, experience, or operational efficiency.
Reduce the risk of poorly scoped POCs
By structuring the scope, assumptions, expectations, and points of vigilance, you avoid launching vague or overly scattered experiments.
Aligning business, IT and data around a single trajectory
We are creating a common language between the relevant functions and facilitating arbitration on which subjects to prioritise.
Move more quickly from idea to action
You are exiting the exploration phase with concrete, well-argued POCs ready for implementation.
Our 5-step approach
The expert's word
Fabien CHESNE
Consulting Director JEMS
«AI only has value if it leads to useful decisions. Our role is to help business departments understand what AI can really change, and then transform that understanding into use cases that are framed, prioritised and ready to launch.»
Fabien CHESNE
Consultant Director JEMS
OUR RESOURCES
White paper
GENERATIVE AI: BETWEEN GREAT POWERS AND GREAT RESPONSIBILITIES
To remain competitive, companies must understand and integrate technologies surrounding generative AI.
Conference
STOP YOUR POCs AND INDUSTRIALISE GENERATIVE AI
At the Tech for Retail 2024 show, JEMS and Snowflake presented at a conference on concrete use cases for generative AI in retail performance.
Our additional services
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.
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
Bring forth your first AI use cases
Discuss with a JEMS expert to structure your approach, prioritise the right topics, and define POCs ready to launch.
