Ideas, trends and technological knowledge.

Artificial intelligence is transforming businesses at an unprecedented pace. But with that power comes a responsibility that many organizations are ignoring: governance.

The European Union AI Act

In 2024, the EU approved the Artificial Intelligence Regulation (AI Act), the world's first comprehensive law on AI. Companies operating in Europe have until 2027 to comply with requirements for transparency, traceability, and human oversight of AI systems.

Penalties for non-compliance can reach up to 7% of annual global revenue — more severe than those under the GDPR.

The problem: Shadow AI

Today, most companies deploy AI without governance. Teams use tools on their own, sensitive data travels to external servers, there is no cost traceability, and no one knows who authorized what.

What companies should do now

• Audit which AI tools are being used internally
• Centralize access to language models under a single control panel
• Implement differentiated roles and permissions for each team
• Establish approval processes for the knowledge that feeds the AI
• Document and trace every interaction to meet audit requirements

Companies that get ahead of regulation will not only avoid penalties — they will gain a competitive advantage by operating AI more efficiently, securely, and reliably.

Many companies still manage customer service with WhatsApp Business App, spreadsheets, and good intentions. But when volume grows, the model breaks down.

The 5 warning signs

• Unanswered messages: Customers reach out and no one responds for hours. Every ignored message is a lost sale.
• Time-consuming repetitive inquiries: 60% of questions are the same. Your team answers them manually over and over again.
• No visibility into each customer interaction: Without traceability, there is no way to know who handled what, when, or how it was resolved.
• Overwhelmed agents, high turnover: Repetitive work burns out the team. Good agents leave.
• Unable to scale without hiring more people: Every demand spike requires more staff. Costs increase linearly.

The solution: a hybrid model

IMHOIT's ATLAS combines conversational AI with human agents. The AI filters repetitive inquiries, interprets intent, and applies business rules automatically. Humans focus on complex cases, strategic sales closing, and customer retention.

Implementation is turnkey: IMHOIT handles flow design, AI training, CRM/ERP integration, and launch. Your team just sees results.

Quantum computing promises to solve problems that classical computers would take thousands of years to process. But that same capability represents an existential threat to the cryptography that protects our data today.

Why does it matter now?

The RSA and AES algorithms that protect banking transactions, business communications, and government data could be broken in minutes by a sufficiently powerful quantum computer. Experts estimate this could happen between 2028 and 2035.

But the risk is more immediate: attackers are already practicing "harvest now, decrypt later" — capturing encrypted data today to decrypt it when quantum technology becomes available.

The answer: post-quantum encryption

IMHOIT's HRMS implements quantum encryption as part of its protection architecture, ensuring that sensitive data is protected against both current and future threats.

Organizations handling classified information, financial data, or intellectual property cannot afford to wait for the threat to materialize. Post-quantum protection must be implemented now.

When we think about cybersecurity, we picture external hackers attacking servers. But the statistics tell a different story: more than 60% of data breaches involve people within the organization.

Types of internal threats

• Negligence: employees who share passwords, use insecure networks, or fall for phishing
• Privilege abuse: administrators accessing data outside their scope
• Collusion: two or more people collaborating to circumvent security controls
• Infiltration: external actors who compromise employee credentials

The challenge of collusion

Collusion is especially dangerous because traditional controls are designed to detect individual anomalous behaviors, not coordinated ones. Two people acting within their normal permissions can, together, create a breach that no conventional system would detect.

Combined with 3FA authentication and an immutable ledger that records every operation, HRMS creates an environment where internal threats are detected, documented, and neutralized proactively.

A recent study revealed that 75% of employees at large companies use generative AI tools without IT authorization. They copy customer data into ChatGPT, upload confidential documents to free tools, and share sensitive information with services they do not control.

This is called Shadow AI, and it is the modern equivalent of Shadow IT — but with exponentially greater risks.

The concrete risks

• Data leakage: confidential information processed on third-party servers without privacy agreements
• No traceability: no one knows what data was sent, when, or where
• Hidden costs: each team pays for its own subscriptions without global visibility
• Inconsistent results: each tool gives different answers, with no alignment to company knowledge
• Regulatory non-compliance: impossible to demonstrate compliance if you do not control the tools

The solution: centralize and govern

The key is not to ban AI — it is to govern it. Companies that centralize now will not only mitigate risks but also multiply the value they get from artificial intelligence.

IMHOIT has been selected as part of the Marie Skłodowska-Curie Doctoral Network (MSCA-DN) under Horizon Europe, the European Union's most prestigious program for research and innovation training.

An extraordinarily competitive selection

Out of more than 1,400 proposals submitted, only 10% were selected. Among them, the CRITERIA consortium, of which IMHOIT is an active member.

This distinction positions IMHOIT among Europe's top tier in science and technology, integrating it into a pan-European network that drives applied artificial intelligence, intelligent automation, and the critical technologies of the future.

What does this mean for our clients?

• Access to frontier research: program advances are integrated directly into our products and services
• European collaboration network: connection with universities, research centers, and leading companies across the continent
• International validation: the Horizon Europe seal certifies IMHOIT's technical and scientific excellence

We will continue sharing updates on this program as it progresses.