Making AI a concrete lever for performance and value creation.
AI must now be integrated into operations, mastered at scale, and produce measurable business value.
Moving from isolated AI projects to uses that are truly integrated with tools, processes, and business operations.
Prioritising use cases that can generate tangible business value and measure the return on investment concretely.
Deploying AI and agents at scale without losing control of data, security, compliance, and risks.
Integrating AI into daily practices and supporting its adoption by teams, without undermining the existing organisation.
We support AI from the identification of use cases to their integration into operations. Data, models, existing systems, and business uses are considered together to avoid the accumulation of isolated solutions and to build an AI that is truly usable over time. We mobilise the Microsoft, Databricks, OpenAI, Anthropic, Mistral, Copilot Studio, and Genie ecosystems for this.
This integration is built with the same level of requirement on security and risk management. The vulnerabilities specific to AI — prompt injection, jailbreak, poisoning — are taken into account from the design stage, with fine traceability and the maintenance of human control over critical decisions.
Our interventions cover the different stages of scaling AI — from business applications to infrastructure, up to the automation of uses.
Automating business processes with generative AI applications and agents capable of orchestrating workflows, assisting teams, and acting autonomously within a controlled framework.
Developing machine learning models adapted to sectoral challenges: supply chain optimization, predictive maintenance, fraud detection, customer personalization, image diagnostics.
Industrialise AI at the organisational scale on an infrastructure designed to master governance, security, data, and costs from the outset.
Empower business teams to prototype and automate certain AI uses, within a governed framework, with solutions like n8n, Copilot Studio, or Jask.
INTERNATIONAL HOTEL CHAIN
Content production was time-consuming for a quality that remained uneven. Cellenza designed a writing application based on generative AI and trained 50 marketing managers in its use.
Teams save time in production, the quality of content is standardised, and the solution has become a daily tool for marketing teams.
GENERATIVE AI MARKETING
CAC 40 LUXURY GROUP
Faced with ineffective sales training and high turnover, the group sought a way to better support its salespeople in mastering the pitch and products. Cellenza developed an e-learning application incorporating AI roleplay and expertise agents, then deployed it to 120 salespeople. Among pilot users, 82% report a tangible improvement in their pitch and product mastery.
AGENTIC AI E-LEARNING
TECHNOLOGICAL GROUP OF THE CAC 40
With response times reaching up to 48 hours, support was overwhelmed and teams were heavily strained. Cellenza integrated a conversational AI agent into the ticketing system to handle some of the requests and allow teams to focus on the more complex tickets. As a result: depending on the requests, response times decreased by 60 to 70%.
AGENTIC AI SUPPORTLet's identify the right uses and actually put them into production.