Supercharge your Software development lifecycle with AI

For many organisations, a wide gap remains between boardroom ambition with AI and meaningful execution. For engineering leaders, AI adoption poses a challenge beyond just picking toolchains and models. AI coding tools are genuinely extraordinary, yet deeply flawed. Extracting real value depends less on chasing the most advanced models and more on designing the right harnesses, guardrails, tests, QA, and context engineering.

The acceleration in code production demands a radical re-architecting of the SDLC to make the models reliably useful and to turn raw AI capability into measurable business value. Each developer's attention will need to shift from manual coding detail to strategic oversight, and from raw effort to bottom-line impact.

In this talk, you will learn about the risks and the rewards on the journey of AI adoption.

95% of unmanaged GenAI pilots never reach production. 20% of data breaches are now tied to shadow AI. As AI agents become autonomous "digital insiders" across your SDLC, the old governance playbook doesn't cut it.

This session shows how to scale AI agents from a handful of experiments to thousands in production — without letting compliance kill your velocity. You'll see a layered governance approach covering agent identity, runtime controls, security posture, and centralized registries, plus a live demo of real-time AI governance in action.

Walk away with concrete patterns you can apply immediately — whether you're building agents, running the platform, or responsible for keeping it all secure.

A joint session with a leading customer showcasing how Eficode's Road to Rovo was applied in a real-world context to enhance productivity, decision-making, and knowledge discovery across the business. The session highlights practical use cases, key lessons learned, and measurable outcomes, demonstrating how Rovo can move beyond experimentation into scalable, business-critical impact within the toolchain.