AI for Business: Move from experimentation to business value
In a few figures...
90 days
to aim for initial measurable results
88%
organisations
declare to use AI in at least one business function in 2025
20%
companies in the European Union
were using at least one AI technology in 2025
4%
of productivity gains on average
are associated with companies that have deployed AI
Our approach to AI in business
AI for business is no longer short of promises. What is still often lacking is a clear trajectory to transform the interest generated by AI into genuinely useful applications, deployed and adopted by business units. At JEMS, we support organisations that want to move beyond demonstrators, structure their use cases and put into production a Trustworthy, governed, and value-creating AI.
Our approach
An AI for business focused on business uses
We first work with business departments and transformation functions that want to use AI to improve concrete processes: access to information, processing of operations, execution quality, decision support or increased autonomy. The objective is not to add another technology, but to respond to specific business challenges, with visible results.
A 3A method for structuring value creation
At JEMS, we structure this approach around the methodology 3A.
- Learn, to structure and make the company's knowledge base reliable.
- Automate, to integrate AI into business processes, execute tasks and orchestrate certain decisions.
- Increase, to put AI into the hands of trades via adapted, secure, and traceable interfaces. This logic allows simple connection of data foundations, processes, and daily uses.
Industrialise to create sustainable value
At JEMS, we don't stop at just framing opportunities. We also help companies to prepare for deployment, to secure integration into the existing infrastructure, and to structure a sustainable path. To create value over time, AI must be considered an industrial component of the business, not an isolated experiment.
The steps
Learning: securing the knowledge base
We help businesses make actionable what they already know: documents, data, rules, repositories, business logic, semantics. Without this foundation, AI remains approximate, difficult to govern, and unreliable over time. That's why we consider knowledge a bedrock, essential for building robust and sustainable applications.
Automate: integrate AI at the heart of processes
We are deploying AI where it can speed up, make more reliable, or simplify certain operations. The challenge is not just to save time, but also to make historically human-intensive activities viable, to absorb fluctuations in workload, and to scale up more effectively.
Augment: give trades AI that's actually usable
We are designing uses where AI becomes concrete support for teams. This involves interfaces adapted to their context, understandable output, and a clear framework of security, traceability, and governance. The objective is simple: to strengthen the autonomy of business functions without losing control.
The key deliverables
- Diagnostic Priority AI uses from a business perspective
- Use case framing according to the value, risks and feasibility
- Structuration of knowledge heritage useful for targeted uses
- Recommendations on the integration of AI into existing processes
- Definition of interfaces and experiences tailored to business users
- Roadmap deployment and industrialisation
- Tracking indicators value, quality and adoption
- Restitution Clear for business, IT and transformation decision-makers
The benefits
Transforming AI into a concrete business lever
We help businesses connect AI to useful, understandable applications that are directly linked to their operational priorities.
Better utilise the knowledge heritage
We make content, rules, and data more accessible, actionable, and useful.
Streamline processes without depersonalising them
We automate what can be automated, while retaining control over quality, trade-offs, and sensitive decisions.
Strengthen the autonomy of trades
We provide teams with smarter interfaces to access information, act faster, and make decisions with greater confidence.
To scale up more easily
We are developing an industrial logic that allows us to launch demonstrators and aim for sustainable value.
Our 5-step approach
The expert's word
Alexey GUERASSIMOV
Practice Manager Data & AI – JEMS
«The challenge is no longer to prove that AI works. It is to know where it truly creates value, how to integrate it into business uses, and how to deploy it reliably.»
Alexey GUERASSIMOV
Practice Manager Data & AI – JEMS
OUR RESOURCES
White paper
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Webinar
AI FOR PERFORMANCE ACCELERATION, REINVENT YOUR BUSINESS USES
In this webinar, discover how AI can become a concrete lever for business performance: content structuring, process automation, augmented interfaces, and help with framing the right use cases, illustrated by an intelligent staffing demo by JEMS.
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
Move from experimentation to business value
Talk to a JEMS expert to identify best practices, structure your journey, and leverage AI in your business to serve your departments.
