The Gezora blog
Practical writing on automating real operations work, from deciding what to automate first to what actually changes once an agent is running. Written by the team that deploys them, for operators doing the deciding.
We built an AI agent that ate 200 page RFQs for breakfast, here's what happened
How our engineering team killed the procurement nightmare that was silently bleeding public works projects dry.
Read articleCommon challenges when adopting AI tools in a purchasing department
AI procurement isn't a technology problem, it's a people, process, and data problem. Here are the 9 most common adoption challenges, a 9 step rollout framework, and a manufacturing case study.
Why most AI dashboards look good but fail businesses
AI dashboards dazzle in demos and wow investors, but most never move the needle. Here are the seven reasons they fail, a $4.2M case study, and what a business grade AI system actually looks like.
Can an AI agent be busy but useless?
An AI agent can fire thousands of API calls, close thousands of tickets, and still move zero business metrics. Here's why 'busy' isn't 'useful', and a step by step framework to diagnose and fix it.
AI versus workers, is tracking AI usage the wrong KPI?
Counting logins and AI queries feels like measuring value, but it isn't. Here's why AI usage is the wrong KPI, what the research shows, and the three layer framework leaders should measure instead.
Why do most AI chatbots on Shopify stores feel completely useless?
Most Shopify AI chatbots frustrate customers instead of helping them. Here are the 7 real reasons they fail, what a great one actually looks like, and case studies of a chatbot that lost and one that won.
Are AI chatbots worth it for businesses?
Are AI chatbots worth the investment? Yes, but selectively. Here's the real ROI, a step by step evaluation framework, honest answers to common objections, and case studies from H&M, Bank of America, and Sephora.
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