Why AI Automations Fail: Top Mistakes & How to Fix Them
Hosted by Lena Shakurova
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What you'll learn
Why AI automations fail
Either by breaking in production, or by being irrelevant, unused, or impossible to maintain.
A framework and checklist for building useful automation
Practical framework of what to watch for before releasing into production, so your automation gets adopted.
Practical tips for resilient workflows
Concrete advice on making automations more reliable and scalable, including how to spot weak points early on.
Why this topic matters
Most AI automations don’t fail because the tools are bad. They fail because they’re not designed to be useful, adopted, and reliable inside existing workflows.
In this talk, I’ll walk through the most common design mistakes, explain why automations end up unused, and share a framework and checklist for delivering automation that actually creates value in production and run reliably.
You'll learn from
Lena Shakurova
AI Advisor & Founder of ParsLabs and Chatbotly
Over the past 8 years, Lena has helped more than 110 teams deliver AI project, supporting organisations in moving from fragile demos to production-ready systems. She focuses on bridging business expectations with engineering reality: designing automation that fits into existing workflows, scales reliably, and actually gets used.
Go deeper with a course
AI Automation for Business Leaders and Operations Managers
Lena Shakurova
Founder @ ParsLabs. Trusted AI Advisor. 100+ teams supported since 2018
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