Five cases of AI simplifying and speeding up software development

Integrating artificial intelligence into the software development lifecycle is no longer a question of if, but how. Across industries, we’re witnessing forward-looking organizations taking bold steps—not just experimenting with AI tools, but embedding them directly into how software is designed, documented, written, and maintained.

At Eficode, we’ve helped pioneer and guide companies on this transformative journey. While many are still navigating the early waves of AI adoption, some are already integrating AI in deep and unique ways. 

Here are five stories from the frontlines of change.

Case: Elevating clarity in collaboration at Kone

At Kone, a global leader in the lifts and escalator industry, we’ve been developing AI solutions embedded into their collaboration platforms. These AI agents enhance clarity in product development documents by automatically expanding on abbreviations and jargon. Imagine a system where every reference to a technical term, regulation, or internal acronym is immediately explained in context—directly in your user stories or Confluence documentation.

This isn’t just a language upgrade. It’s a trust-building mechanism, ensuring alignment between business analysts, developers, and compliance experts. In fast-moving development teams, misunderstandings can cost weeks. AI here is a real-time clarifier, helping cross-functional teams understand each other.

Case: AI agents modernizing legacy code

A major global player in online job search contacted us to make the most of GitHub Copilot. Now, they are taking a leap that could redefine how we manage legacy codebases. We are collaborating to build AI agents that proactively detect technical debt, propose modern alternatives, and, in some cases, initiate code improvements autonomously.

This approach moves far beyond static code analyzers or dashboards. It’s a continuously evolving system designed to keep the software stack lean, up-to-date, and maintainable. While still early in its rollout, this initiative represents a pioneering method to automate what used to be slow and painful modernization efforts, turning AI into an active co-developer in the lifecycle.

Case: Upskilling developers at scale, at the speed of AI

Eficode has executed more than 250 AI-focused masterclasses across Europe, the UK, and the US. Each of the masterclasses has been tailored to getting everything out of AI-assisted development in the organization’s own development lifecycle and technologies.

The challenge? The field moves so fast that we update our training material nearly every second week. But the payoff is real: We’ve seen teams triple their GitHub Copilot usage after just a single workshop, translating into faster feature delivery, better code quality, and more engaged developers. It's not just about knowing the tools—it's about creating the mindset shift to work with AI, not around it.

Case: Becoming an AI Native organization

Leadership in a highly regulated digital services company based in the Nordics has made it clear to all its employees: We’re going all-in on AI. In helping them reach this goal, we’re not just building clever agents—we’re changing how the organization thinks about AI. One of the early solutions involved automating the generation of branded images directly within the software development process, reducing friction between design and development.

But this is just the start. As the project continues, we're also supporting executive-level AI understanding, fostering a culture where ideas for AI integration can come from anywhere in the organization. The goal is clear: Become AI-native across roles, from developer to director.

Case: Discovering AI value for market competitiveness

A Finnish technology company at the forefront of environmental innovation recently asked us a simple but strategic question: Where in our software value stream does AI make the biggest difference?

We designed an AI Discovery and Roadmap program to answer that. It combines practical hackathons (across AWS, Azure, Atlassian Rovo, and more) with hands-on value stream mapping. The goal is to spark ideas, test them quickly, and identify high-impact use cases grounded in business value.

The results have already influenced their product development priorities for the year ahead, proving that AI cannot only enhance software development processes by adding efficiencies but also significantly increase a company’s overall market competitiveness: in this case, product innovation and speed to market.

AI in practice, not in theory

All these examples reflect a central truth: AI isn't something you bolt on—it's something you weave into how your organization builds and evolves software. Whether it’s clarifying communication, modernizing legacy systems, upskilling people, or discovering hidden opportunities, AI has already started to reshape the lifecycle from end to end.

Discover more use cases for AI in software development.