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Businesses are racing towards AI automation, but full automation is not always the most efficient, economical or reliable choice. This session shares practical lessons from deploying AI-assisted workflows across finance, sales, HR and business operations using RAG-enabled agents, Python, n8n and ERP integration.

Rather than asking only “what can we automate?”, the project increasingly asked a more important question: what should we automate? Some repetitive, high-volume activities benefited significantly from automation, while other tasks were faster, cheaper or more reliable when AI supported a human rather than replacing them.

The session explores how to decide between full automation, AI-assisted work and human execution, and how to measure success through cost, speed, quality and operational risk rather than automation percentage alone.

Key Takeaways:

• How to decide whether a task should be automated, AI-assisted or human-led
• Why maximum automation is not always the best operating model
• How to compare AI and human execution using cost, speed, quality and risk
• How to design effective human-in-the-loop workflows