Published on: 18 Oct 2025 by Jens van Wijhe

AI embedded in the core: driving better outcomes

AI is no longer just a feature that enhances digital products, it's becoming part of the core of modern software applications. When artificial intelligence is deeply embedded within a system, it transforms how software operates:
more adaptive, more efficient, and constantly improving.

Think: customer support systems that detect frustration in messages, inventory platforms that predict shortages before they happen, or search engines that grasp what users mean, not just what they type.

Depending on the large language model (LLM) — or how multiple models are combined, outcomes can range from streamlined automation to adaptive systems that understand intent and deliver highly accurate results.

Fair warning: AI is not a one-size-fits-all solution

Not every system needs AI at its core. For straightforward, rule-based tasks — like scheduled reports, data validation, or simple workflows — traditional automation is often faster, cheaper, and more reliable. Reserve deep AI integration for problems that truly require adaptability, context understanding, or continuous learning from complex data patterns.

Continuous learning drives better results

Integrating AI into the foundation of a product allows software to learn, adapt, and evolve continuously.

This results in:

  • Higher accuracy over time — systems that learn from feedback and reduce errors with each iteration.
  • Faster and more efficient processes — workflows that run 24/7 with near-zero human error.
  • Smarter decisions — insights that surface exactly when and where they're needed.

By combining multiple LLMs and connecting data from diverse sources, AI-driven systems can understand user intent, recognize context, and provide insights that feel precise, personal, and timely.

Automating what used to be manual

When AI operates at the process level, it can handle repetitive and complex tasks that previously required constant human attention.

With AI embedded in your business processes, your systems can:

  • Detect anomalies or inefficiencies long before they cause problems.
  • Recommend or even execute optimizations automatically.
  • Combine data from multiple systems to reveal hidden correlations.
  • Understand search intent to deliver more relevant and personalized results.

These capabilities don't just save time; they eliminate bottlenecks, ensure consistency, and allow teams to focus on strategic and creative work while the system continuously improves itself in the background.

The future core of software applications

The next generation of software won't simply use AI — it will be built around it.
Applications will evolve from static systems into adaptive platforms that respond to user behavior, emerging patterns, and changing business needs in real time.

AI embedded in the core isn't just about automation or efficiency. It's about creating products that continuously improve, operate reliably, and provide deeper insights for organizations and the people who rely on them.