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.
Counting and identifying food plant workers on the servers the plant already owns
How Gezora.ai designed an on premises computer vision system for Unilever Pakistan Foods, and brought its cost down by more than 90% without dropping a single function.
Read articleCounting and identifying food plant workers on the servers the plant already owns
How Gezora.ai designed an on premises computer vision system for Unilever Pakistan Foods, and brought its cost down by more than 90% without dropping a single function.
Privacy implications of RAG systems: permissions and deletion come first
The privacy implications of RAG systems come from the pipeline around the model: where your data is copied, who can retrieve it, and how it gets deleted.
Custom AI agent development: when to build and when to buy
A guide to custom AI agent development: when building your own makes sense, what you need before a build starts, and how to scope the first agent narrowly.
How to automate business processes: where to start and what to skip
How to automate business processes without automating the wrong thing: pick a process worth the effort, map it as it runs, and measure it against a baseline.
Types of data sources for RAG systems and which to connect first
The common types of data sources for RAG systems, what tends to go wrong with each, and a sensible order for connecting them.
An AI readiness assessment framework you can run in a week
A plain AI readiness assessment framework: five questions to ask about each process, a simple way to score them, and what a low score tells you to fix first.
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