Session Outline:
Built to Last: Evolving Live Enterprise Software in the Age of AI

AI has transformed how software gets built - features that once required weeks of engineering can now be generated in hours. But for enterprise platforms running highly critical operations like payroll, HR, finance, and ERP, raw speed alone isn't the goal. Reliability is.

Behind every smooth upgrade to a system serving thousands of live clients sits a quiet discipline: modular architectures that isolate client-specific behaviour, regression strategies that catch issues before rollout, controlled release management, and an engineering culture built on long-term thinking rather than short-term wins.

When AI is used as a powerful accelerator in the hands of experienced architects and developers, it amplifies disciplined practice rather than replacing it. Used well, it speeds up the right work without compromising the stability that critical systems demand. Used carelessly, it introduces hidden dependencies, ungoverned logic, and problems that only surface later, when they're hardest to undo.

A candid look at responsible development speed in the age of AI - and the engineering craft behind enterprise software that quietly powers real businesses, month after month, year after year.

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About   Matthew

Matthew Sacco has served as a technical project consultant to Dakar Software Systems since 2020, acting as the single point of contact on large enterprise deployments across payroll, HR, and workforce management. He sits between client and delivery team, securing client interests while ensuring efficient project delivery. He takes pride in guiding complex, multi-phase projects from initial scoping through go-live and operational support.

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Matthew is also a Co-Founder of Polzify, a data-driven startup developing online reputation management technology for the tourism sector. He holds a B.Sc. in Computer Engineering and an M.Sc. in Computer Science from the University of Malta and is certified in PRINCE2 project management. Matthew has co-authored peer-reviewed publications in applied AI and computer vision presented at international conferences, including best-paper-winning research in tourism analytics.