ARTICLE
AI-infused beats AI-based to scale your automations
As organizations scale their network automation initiatives, many are exploring how Artificial Intelligence can accelerate delivery, improve quality, and reduce manual effort. From generating code to identifying patterns in operational data, AI has the potential to support more efficient and intelligent network operations.
However, scaling automation successfully is not about replacing established engineering practices with AI. It is about using AI to strengthen them.
In her article for Mobile Europe, Anna-Mia Johansson, QA Expert at Ductus, explores why an AI-infused approach is often more effective than an AI-based approach. Rather than treating AI as the foundation, organizations should use it as an enabler that enhances proven automation strategies, robust architecture, and reliable operational processes.
As automation initiatives grow in complexity, many organizations face the same challenge: how to leverage AI without compromising quality, governance, and long-term maintainability. The most successful initiatives are often built on strong engineering practices, quality assurance, trusted data, and continuous improvement.
For Communication Service Providers and large enterprises, AI can accelerate analysis, support decision-making, and reduce manual effort. But without the right foundations, AI risks amplifying existing challenges rather than solving them.
The journey towards more autonomous and intelligent operations is therefore evolutionary rather than revolutionary. Organizations that combine strong automation foundations with carefully applied AI are often better positioned to scale, reduce operational complexity, and create sustainable business value.
In this article, Anna-Mia Johansson shares her perspective on how organizations can leverage AI to accelerate automation initiatives while maintaining the governance, quality, and engineering principles required for long-term success.
Peter Sallenhag
peter.sallenhag(at)ductus.se
Phone: +46 70 571 05 82
