Understanding the challenges of AI integration
Integrating intelligent agents into a business is not simply a matter of connecting generic AI to an existing system. It is a strategic project that must be based on real business needs, technical constraints and security requirements. At Arkeion-Lab, we have made this approach our speciality: transforming artificial intelligence into a reliable, relevant operational lever tailored to each organisation.
Cooperation with BrightNTech
PTo achieve this goal, Arkeion-Lab relies on a solid technological partnership with BrightNTech, whose ‘intelligent agent factory’ provides the power to design and industrialise agents. While BrightNTech focuses on the manufacture and technical optimisation of agents, Arkeion-Lab contributes its project expertise:
- needs assessment and functional analysis,
- structuring of business and technical requirements,
- validation of usage scenarios,
- deployment support.
This cooperation enables us to deliver customised AI agents to our clients, tailored to their systems and processes, without ever falling into the traps of poorly trained generic AI.
A methodology focused on business needs
Arkeion-Lab implements a specific approach to guarantee the relevance and reliability of AI agents:
- Business needs analysis: identification of concrete use cases, users and regulatory constraints.
- Logical training: production of clear decision trees, based on the proven methods of the 5 whys and the 5 hows, in order to structure the agent’s reasoning.
- Reduced risk of hallucination: by anchoring AI in logical and documented reference frameworks, we avoid the classic pitfalls of generic models.
- Collaborative validation: each agent is tested with business teams to ensure smooth adoption and immediate value.
The added value of Arkeion-Lab
Our role goes beyond technology: we are the architects of the AI project. While BrightNTech provides the technological building blocks, Arkeion-Lab ensures that the agent delivered truly meets the company’s strategic objectives. We bridge the gap between the business world (needs, constraints, users) and the technical world (IT systems, infrastructure, security).
Thanks to this approach, each integrated AI agent becomes a driver of resilience: reliable, explainable and aligned with your priorities.