Brewing + AI Guidebook
How AI can help your brewhouse

Search your own knowledge

Use AI to ask questions of your brew logs, SOPs, and recipes in plain language, turning years of notes into answers you can find in seconds.

Brewing + AI · practical use case

Most breweries sit on years of hard-won knowledge locked in logs, spreadsheets, and one or two people’s heads. AI can make that knowledge searchable in plain language.

What it does

Ask a plain-language question of your own records and get an answer drawn from them: which batches of a recipe finished high, what you changed the last time a fermentation stalled, which cask fills scored best.

How it works, in brewing terms

You give the tool your documents as context and ask your question against them. It reads far faster than you can and pulls the relevant lines together, so the knowledge no longer depends on one person’s memory.

What you need to start

Your records in a consistent, digitised form. Clean data makes the answers trustworthy; messy data makes them misleading.

Example prompt

"From these brew logs, list every batch of my stout where FG finished above 1.016, with the mash temperature and yeast used for each."

Keeping the brewer in control

Verify any answer against the source records, especially before acting on it. The tool can misread a messy log, so keep the original as the source of truth.

Takeaways

Chapter 2 · Brew Data Chapter 4 · Trust + Verification

Put this to work in your business

Ankur Napa spent a decade in breweries (AB InBev, SABMiller, United Breweries) before building AI and data tools for beer, wine, and spirits. Select consulting engagements in demand forecasting, quality and process analytics, dashboards, and production-grade GenAI.

Talk to a brewing data scientist →