Moving Beyond Prompts to Reusable Agentic Workflows

Each tech team can utilise AI to accelerate single tasks. Few can establish an agentic system that effectively carries out complex, multi-step work without constant supervision, repeated errors, and lost context. Scaling AI beyond basic prompting is not about employing larger models—it's about structure, control, and transforming human expertise into reusable methods of working. The most effective systems maintain human judgement while granting agents the autonomy to complete long-term tasks. In this practical one-hour session, we’ll explore five essential practices that tech teams need to master to create reliable AI workflows: This session is specifically designed for technical leaders who are ready to stop overseeing AI outputs and begin scaling dependable systems. You’ll leave with practical tactics you can immediately apply to your own tech setup. Agenda: Speaker: As CTO at DataBraid, Atif Khan spearheads the development and application of agentic AI frameworks across software development, product lifecycle management, and operations. Having delivered technical sessions for enterprise engineering teams and led the winning entry in a world-renowned data science and AI competition, he offers profound technical expertise rooted in real-world business execution.