Analyzing the past year's experience and planning for 2026, we at Noveo see a definitive paradigm shift: what was an experiment yesterday is a mandatory requirement in the technical specification today; what amazed us simply works now. This is most evident in artificial intelligence. 2025 fundamentally changed our relationship with AI: it transformed from an innovative marvel into an everyday tool that allows us to work faster and better. For example, this very post was created with its help ;)

But 2026 isn't just about AI. It's the year when technologies finally stop being a "nice-to-have" and become the core logic of business. At Noveo, we don't just follow trends — we immediately implement them in our work with clients and see how they change the industry. Let's break down the key vectors:

1. AI with a Human Face: From Experiments to a System

The first and main trend is the deep integration of AI and machine learning into the core of workflows. We expect explosive growth in AI agents capable of autonomously performing multi-step tasks, and the widespread use of generative models for coding, testing, and creative work.

There's also a counter-trend: some companies, disappointed with initial results, are starting to talk about a "return to proven manual labor." In our view, the root of the problem is not AI, but the lack of methodology: applying AI without a clear strategy, application domain analysis, and success metrics inevitably reduces its effectiveness and turns implementation into a waste of resources.

The serious scientific background of our team (mathematics, physics, engineering from top universities, advanced degrees) allowed us to approach AI from a research perspective from the very beginning: first, we launched an internal Innovation Lab to determine in practice which tasks benefit maximally from AI, and where its use is excessive or even harmful. Only after thorough analysis did we integrate selected models into workflows. This approach gave us not just the skill to use tools, but a deep understanding of how and why to do it. As a result, team efficiency increased by an average of 15%, and we now use AI in almost every project — but the final result and responsibility always remain with the human. We call this approach "AI with a Human Face" :)

For example, using this approach, we worked on a platform that systematizes scattered information about family assets and helps families manage them in various life situations — from insurance cases to moving. At its core is a multi-layered AI engine: Computer Vision for recognizing items in photos, a generative assistant for management, and an expert system for recommendations. But the project's highlight isn't just the final implementation: AI was applied at all stages, from estimation to development.

Clients are already seeking AI integration en masse into all possible parts of their systems. Here are just a few projects we are implementing right now:

• Marketing Research Platform: Transformed a classic A/B testing system into an AI engine that predicts conversion and calculates potential revenue for each scenario.
• Multi-Channel Business Platform: Created a unified hub for customer communication (calls, email, social media), enhanced with AI functions to boost agent productivity.
• AI Animation Infrastructure: Audited and strengthened the AWS infrastructure security for a platform revolutionizing educational content creation with AI.

2. Simplicity and Transparency: How Large Systems Become User-Friendly

The next trend we see is the demand for simplicity. Clients are tired of complex monsters; they need transparency and intuitiveness in building business processes, even for large ERP systems like SAP. For instance, one of the leaders in the European B2B market turned to us for help optimizing IT operations. We consolidated the work of 8 different vendors, restructured ITIL processes, and provided full support for the client's IS landscape, including SAP. As a result, costs decreased by 36% while service quality improved, and generating reports or configuring the system became much simpler.

3. Multi-Cloud and "Autopilot" for Infrastructure

Hybrid clouds, using multiple providers (AWS, GCP, Azure) and on-premise data centers are becoming the standard for flexibility, scalability, and data storage requirements. In parallel, DevOps is evolving towards the "autopilot" concept — near-total automation of deployment and monitoring.

We work closely with AWS, GCP, and other platforms, ensuring speed and reliability. For example, recently for a social media management platform, we took over the full cycle of two web applications, conducted a technical audit, deployed everything on AWS with CI/CD, and continue product development. For an e-commerce monetization platform, we conducted a full infrastructure audit and setup on GCP, strengthened security, and fine-tuned backup and CI/CD processes.

4. Zero Trust: Security as a Standard Feature

With increasing system complexity, the Zero Trust ("Never Trust, Always Verify") approach is no longer an option. It's a must-have. We not only follow this trend but create such solutions. For example, for a developer of advanced NDR (Network Detection & Response) solutions, we rapidly developed and implemented a critical security management module: a credential control system, centralized access, and user profile management.

5. What's in Focus for Developers?

• Full-Stack and Minimalism: High demand for versatile specialists remains. In web design, maximal minimalism, bold typography, and AI-generated graphics are trending.
• Languages and Professions: The spotlight is on everything related to AI, data, DevOps, and cybersecurity. Languages supporting these areas (Python, Go, TypeScript, Rust) will only gain popularity.

Our Conclusion: 2026 is the year of deep integration. Technologies intertwine to create a foundation for automated, secure, and incredibly efficient business processes. And AI is the central nervous system of this transformation.

The key is not to chase a trend for its own sake, but to implement technologies thoughtfully, under expert supervision, and with a clear understanding of the business goal. This is exactly how we work at Noveo.

Which trend will you be working with in the new year?