AI Intelligence & Governance

Understand to better decide.

Our analysis to navigate the era of industrial AI with clarity. Every article is a decision-making tool.

Regulation

AI Act 2026: your compliance roadmap.

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

35M€
Maximum fine
The sanctions under the AI Act can reach 35 million euros or 7% of global turnover for the most serious violations. Even SMEs are concerned 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 validation (Shadow AI). Classify them according to 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

Establish governance

Designate an internal AI officer, document your automated decision processes, and put in place 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 infrastructures. The AI Act strengthens GDPR requirements for data quality and protection against bias.

Key timeline

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

Competitive advantage

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

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Our Blueprint includes a comprehensive compliance plan tailored to your sector.

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Security

Shadow AI: protect your trade secrets.

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

78%
Employees affected
According to the Microsoft Work Trend Index 2025, 78% of employees use generative AI without a framework defined by their employer. This means your sensitive data — pricing, margins, strategies, patents — is transiting through public servers with zero protection.

Strategic data leaks

A buyer pasting a pricing grid into ChatGPT to analyze it exposes your supplier terms. An engineer asking AI to debug proprietary code shares your intellectual property.

GDPR non-compliance

Personal data of your customers or employees sent to public AI systems constitutes a GDPR violation. Penalties can reach 4% of global turnover.

Loss of competitive edge

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

Fragmented practices

Without a common framework, each department develops its own AI usage. Result: inconsistent results, multiplied risks, and no knowledge consolidation.

1

Audit existing usage

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

2

Deploy sovereign framework

We replace uncontrolled usage with business-specific AI Agents, hosted on a 100% secure and isolated infrastructure. Your data never leaves your perimeter.

3

Training and governance

We train your teams in AI best practices and establish a clear usage charter. Cockpit Kanso ensures real-time monitoring and traceability.

Regain 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: beyond automation.

Traditional 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 ROI observed
The average ROI observed when deploying dedicated and sovereign business agents is 3.2x in less than 6 months. Unlike RPA, agents adapt, learn and continuously improve.

Classical automation (RPA)

Follows fixed rules. Breaks when format changes. Requires constant maintenance. Doesn't understand context. Limited to repetitive and structured tasks.

AI Agents (Agentic)

Reasons and adapts to context. Understands natural language. Handles exceptions and unexpected situations. Continuously improves. Operates on complex and unstructured tasks.

1

Procurement Agent

Automatic supplier contract analysis, tariff anomaly detection, real-time benchmarking. Your buyer focuses on strategic negotiation, the agent handles the rest.

2

Logistics Agent

Real-time flow optimization, shortage anticipation, proactive carrier dispute management. The agent operates 24/7, your teams oversee key decisions.

3

Quality Agent

Automated document control, non-conformity detection, audit report generation. From material receipt to product release, the agent ensures complete traceability.

The Kanso-Ops difference

Our agents are sovereign: hosted on secure and isolated infrastructure, GDPR and AI Act compliant. They're connected to Cockpit Kanso for real-time supervision. You see what they do, how much they save, and you maintain full control. From signature to production in less than 30 days.

Ready for the agentic industry?

Let's identify together the first business agents to deploy in your organization.

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