At LurNova we see that the pace of evolution of artificial intelligence is not only continuing to accelerate, but is profoundly transforming the way organisations operate, make decisions and protect themselves. If 2023 and 2024 were the years of initial adoption and 2025 was the year of integration, 2026 is turning out to be the year of consolidation.
This reading matches that of other industry analysts: IBM notes that the focus in 2026 is shifting from individual productivity to the orchestration of complete teams of agents, with multi-agent dashboards becoming increasingly common in corporate environments (IBM Think, 2026).
Corporate copilots: a new layer of operational intelligence
In 2026 we will see the definitive transition of copilots from tools for occasional assistance to cognitive platforms fully integrated into business workflows.
What we can expect in 2026
- Greater contextual intelligence: copilots will better understand the business, internal documents and metrics.
- Automation of complete tasks: they will not only suggest, but will autonomously carry out small parts of administrative work.
- Deep integration with ERP, CRM and document systems: they will generate standard reports, detect anomalies and propose actions.
- Stronger regulatory compliance: they will provide traceability and consistency in the processes they are involved in.
What it means for companies
Departments will be more efficient, analysis cycles faster and repetitive work will be significantly reduced. Preparing to integrate copilots into critical processes will be a clear advantage in 2026.
Autonomous agents: towards self-executing processes
While copilots support people, autonomous agents are the layer that works directly on systems. 2026 is marking their expansion into operational, logistics, industrial and administrative areas: this is not an isolated forecast, but the trend that most international consultancies (Gartner, McKinsey, PwC) rank first in business AI this year, above even the conversation about larger language models.
What we will see
- Agents that make decisions within defined limits: they will adjust inventories, detect incidents and propose corrective actions.
- Multi-agent environments: systems that collaborate with one another to optimise processes in real time.
- Greater capacity for continuous learning: agents will refine their criteria based on accumulated experience.
- Cross-cutting applications in industry, legal, finance and customer service.
What it means for companies
Processes will become more autonomous, more stable and less dependent on manual intervention. Organisations that prepare governance and monitoring frameworks will be ready to take advantage of their potential without losing control.
Cognitive cybersecurity: from reaction to anticipation
The growing use of AI by attackers (hyper-realistic social engineering, automated fraud using deepfakes) will require a profound change in the way security is understood in 2026. At LurNova we call this change "cognitive cybersecurity": the move from systems that react to incidents to systems that anticipate anomalous behaviour and learn from it, relying on behaviour-based detection and adaptive security architectures, in line with what frameworks such as Zero Trust already describe.
What will arrive in 2026
- Early behaviour-based detection: systems capable of detecting minimal deviations in access or activity.
- Models specialised in multimodal fraud: capable of identifying deepfakes, impersonation and AI-generated patterns.
- Autonomous firewalls and adaptive policies: security will configure itself according to threats in real time.
- Greater regulatory demands in specific sectors: DORA, the EU Digital Operational Resilience Act, has since January 2025 required financial entities and their critical technology providers to strengthen ICT risk management and incident reporting (IBM Think). It is not a generic obligation for every sector, but it sets the standard that other regulated industries are likely to follow.
What it means for companies
Cybersecurity will stop being a static layer and become a continuous detection and response system. Organisations will need to invest in proactive detection and in tools capable of responding at the pace of new AI-based threats.
The regulatory timetable: what really changes in 2026
It is worth being precise here, because this is a point on which there is a good deal of confusion. The European AI Act does not begin its timetable in 2026: the prohibition of high-risk AI practices and the AI literacy obligation (Article 4) have been in force since February 2025. What does happen on 2 August 2026 is that the transparency obligations of Article 50 (identification of AI systems that interact with people, labelling of synthetic content) become fully applicable. The most demanding obligations for high-risk systems in Annex III, which were also due to apply in August 2026, have been postponed until 2 December 2027 following the Digital Omnibus agreement approved by the Council of the EU on 29 June 2026 (ActuIA, 2026). In other words: the postponement does not remove the obligations already in force, it only gives more leeway for the highest-risk ones.
Conclusion: 2026 will be the year of AI as infrastructure
Looking ahead to the next twelve months, companies that want to remain competitive will need to move towards a model in which artificial intelligence is not an isolated piece, but a cognitive infrastructure integrated into every process.
At LurNova we help organisations to adopt AI with guarantees and in line with the European legal framework, to integrate copilots and agents securely and strategically, to prepare environments protected by cognitive cybersecurity and to train teams capable of working in a hybrid human-AI environment. If you want to assess where your organisation stands, you can explore our AI consultancy, AI agents and intelligent automation services, or contact the team directly.
CEO of LurNova, with extensive experience in technology and digital transformation. Involved in developing technology projects and applying artificial intelligence in organisations, he combines technical knowledge with business vision.
