Intelligence & Governance

Understand to better decide.

Our analyses to navigate the industrial AI era with clarity. Each article is a decision-making tool.

Regulation

EU AI Act 2026: your compliance plan.

The European AI Regulation enters progressive application from 2025. For industrial SMEs, failing to prepare means flying blind. Here's what you need to know — and do.

35M€
Amende maximale
Penalties under the AI Act can reach €35 million or 7% of global turnover for the most serious violations. Even SMEs are affected as soon as they use or deploy AI systems.
1

Map your AI systems

Identify all AI tools used in your organization — including those adopted by your teams without approval (Shadow AI). Classify them according to the risk levels defined by the regulation: unacceptable, high risk, limited risk, minimal risk.

2

Assess risk levels

High-risk systems (recruitment, credit scoring, critical supply chain) require complete technical documentation, a risk management system, and effective human oversight.

3

Implement governance

Appoint an internal AI officer, document your automated decision processes, and implement the required compliance registers. Ensure traceability and explainability of your algorithms.

4

Secure your data

Your training and production data must be hosted on sovereign infrastructure. The AI Act strengthens GDPR requirements regarding data quality and bias protection.

Key timeline

February 2025: ban on unacceptable risk practices. August 2025: governance obligations. August 2026: full application to high-risk systems. Don't underestimate compliance timelines.

L'avantage concurrentiel

Companies compliant ahead of schedule gain a decisive advantage: easier access to public procurement, strengthened B2B partner trust, and reduced legal risk. Compliance is an investment, not a cost.

Besoin d'un diagnostic IA Act ?

Our Flash Audit includes a comprehensive compliance plan tailored to your sector.

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Security

Shadow IA : sécurisez vos secrets de fabrication.

Your teams use ChatGPT, Gemini, Copilot — without IT knowing. Every prompt sent to a public server is a potential leak of your intellectual property. Here's the scale of the problem and how to take back control.

78%
Employees affected
According to the Microsoft Work Trend Index 2025, 78% of employees use generative AI without a defined framework from their employer. This means your sensitive data — prices, margins, strategies, patents — passes through public servers without any protection.

Strategic data leaks

A buyer who pastes a price grid into ChatGPT for analysis exposes your supplier terms. An engineer who asks AI to debug proprietary code shares your intellectual property.

GDPR non-compliance

Personal data from your clients or employees sent to public AIs constitutes a GDPR violation. Penalties can reach 4% of global revenue.

Loss of competitive advantage

Your trade secrets, unique processes, innovations — everything that differentiates you can be captured and redistributed through public AI models.

Practice fragmentation

Without a common framework, each department develops its own AI uses. Result: inconsistent outputs, multiplied risks, and no possible capitalization.

1

Audit des usages existants

We identify all AI tools used by your teams, the data flowing through them, and associated risks. Without judgment — the goal is to understand in order to frame properly.

2

Sovereign framework deployment

We replace wild usage with business Digital Workers, hosted on 100% secure and isolated infrastructure. Your data never leaves your perimeter.

3

Training and governance

We train your teams on AI best practices and implement a clear usage policy. The Kanso Cockpit provides real-time supervision and traceability.

Take back control of your data.

30 minutes to assess your Shadow AI exposure and define an action plan.

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Vision

The agentic industry : au-delà de automation.

Classical automation (RPA, macros, workflows) is reaching its limits. The next industrial revolution won't be automated — it will be agentic. Autonomous AI agents, capable of reasoning, deciding and acting within your value chain.

3.2x
Average observed ROI
Average ROI observed when deploying business agents dédiés et souverains est de 3.2x en moins de 6 mois. Contrairement à la RPA, les agents s'adaptent, apprennent et s'améliorent en continu.

Classical automation (RPA)

Follows fixed rules. Breaks when format changes. Requires constant maintenance. Ne comprend pas le contexte. Limité aux tâches répétitives et structurées.

Agents IA (Agentique)

Raisonne et s'adapte au contexte. Comprend le langage naturel. Gère l'imprévu et les exceptions. S'améliore en continu. Opère sur des tâches complexes et non structurées.

1

Procurement Agent

Analyse automatique des contrats fournisseurs, détection d'anomalies tarifaires, benchmark en temps réel. Votre acheteur se concentre sur la négociation stratégique, l'agent gère le reste.

2

Agent Logistique

Optimisation des flux en temps réel, anticipation des ruptures, gestion proactive des litiges transporteurs. L'agent traite 24/7, vos équipes supervisent les décisions clés.

3

Quality Agent

Contrôle documentaire automatisé, détection de non-conformités, génération de rapports d'audit. De la réception matière à la libération produit, l'agent assure la traçabilité totale.

The Kanso-Ops difference

Our Digital Workers are sovereign: hosted on your infrastructure (Zero-Copy), framed within GDPR and AI governance principles. They're connected to the Cockpit for real-time supervision. You see what they do, how much they recover, and you keep total control. See a concrete example: supplier panel monitoring →

Ready to deploy your first Digital Workers?

The free Flash Audit identifies where Digital Workers will have the most EBITDA impact.

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