AI Agentic: enable more flexible and intelligent processes
In a few figures...
23%
organisations
already declare deploying at least one agentic AI system at scale within their business.
90days
to aim for first measurable results thanks to JEMS.
39%
organisations
are already experimenting with AI agents, even though scaling remains uneven.
Our approach to agent-based AI
AI is entering a new phase. After ad hoc assistants and the first uses of generative AI, companies are now looking to integrate intelligence directly into their processes. This is precisely where agentic AI comes into its own: with agents capable of analysing a situation, planning several steps, interacting with existing systems and executing actions within a defined framework. At JEMS, we are helping to transform processes that are too rigid into systems that are more adaptable, more collaborative and more useful to the business.
AI agents for business processes
We step in when organisations want to move beyond overly rigid approaches, whether it's highly scripted workflows, insufficiently adaptive RPA, or processing chains that still require too much human intervention. AI agents enable progress beyond this: they don't just execute a rule; they can leverage context, coordinate multiple actions, and adapt to varying situations. This is what makes them particularly relevant for complex, cross-functional, or evolving business processes.
An augmented organisation rather than static automation
The challenge is not simply to automate further, but to introduce a new form of flexibility into process execution. With specialised agents collaborating as a team, the company can better distribute tasks, better absorb contextual variations, and better integrate human action with automated action. This logic is at the heart of agent-based approaches in business, which aim less for brute substitution and more for intelligent combination between orchestration, controlled autonomy, and supervision.
A scalable and interoperable agent-based architecture
At JEMS, we don't see agentic AI as an isolated layer. We envision it as a capability that should be progressively integrated into existing information systems. This allows for advancement without starting from scratch, by connecting agents to the tools, data, and applications already in place. This progressive approach is essential, as companies exploring AI agents are more successful when they deploy them for well-targeted use cases rather than aiming for a complete transformation right away.
Specialist agents for concrete needs
What connects these use cases is not a particular sector, but a common need: to handle tasks with a strong informational component, mobilise multiple sources, chain together several actions, and maintain traceability. In other words, agent AI becomes particularly relevant when the process requires more than simple linear automation.
A value-driven and scalable approach
The subject isn't just about demonstrating that agents can function. It's about where they actually create value, how they integrate with existing systems, how they are supervised, and how they evolve with the business. Recent studies show that interest in AI agents is growing quickly, but many organisations are still at the pilot stage. This is why we favour a progressive, governed, and ROI-oriented trajectory, in order to develop use cases capable of lasting over time.
The key deliverables
- Identifying processes that can benefit from an agent-based approach
- Scoping of use cases by value, complexity, and risk
- Definition of a target agent architecture compatible with the existing infrastructure
- Mapping of agents, their roles and their interactions
- Recommendations on orchestration, supervision, and safeguards
- Progressive rollout roadmap
- Value, quality and reliability tracking indicators
- Clear restitution for IT decision-makers, transformation and innovation
The benefits
Make processes more adaptable
We help businesses move away from overly rigid workflows to introduce more flexibility in execution and in considering context.
Orchestrate multiple actions more intelligently
AI agents allow tasks to be chained together, multiple sources to be mobilised, and steps that were previously dispersed to be coordinated.
Reduce operational friction
We are targeting areas where human intervention is still too repetitive, too slow, or too dependent on back-and-forth between tools.
Better articulating autonomy and supervision
The aim is not to let things happen unchecked, but to create a framework where agents can bring speed while remaining controllable and auditable.
Prepare a sustainable augmented organisation
We help companies structure a roadmap that goes beyond a pilot, preparing for a coherent scale-up that aligns with their IT systems and business challenges.
Our 5-step approach
The expert's word
Alexey GUERASSIMOV
Practice Manager Data & AI – JEMS
«Agentic AI is not a gadget add-on. It's a more flexible, more modular, and smarter way to evolve business processes.»
Alexey GUERASSIMOV
Practice Manager Data & AI – JEMS
OUR RESOURCES
White paper
AGENT-BASED SYSTEMS: GIVING POWER BACK TO BUSINESS
Are your business processes frozen, rigid, and dependent on IT? Agent-based systems break these limitations.
Onboarding with adaptable HR, sensible credit granting, and piloting supply chains… This white paper shows you how to move from rigid automation (RPA, BPM, scripts) to autonomous intelligence, empowering your business units.
Webinar
A TEAM OF AI AGENTS TO ADAPT BUSINESS PROCESSES
What if your business processes could adapt in real time?
Discover how AI agents are transforming automation into intelligent and flexible orchestration, capable of reacting instantly to business events.
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.
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.
Data & AI Maturity
In 5 weeks, identify your blockers and build a prioritised roadmap aligned with your business objectives.
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
Activate AI agents useful to your business processes
Discuss with a JEMS expert to identify the right use cases and build a coherent agentic roadmap with your IS.
