About the webinar
Does your team spend hours turning data into reports that could take minutes?
Do you want to translate content into new languages, but compliance makes it feel impossible?
Then this is for you.
This is a practical clinic where Definition’s AI Director Luke Budka and Training Director Neil Taylor walk through two real problems, the kind financial services marketing teams face, and solve them live.
In 45 minutes, they cover:
How to turn raw data into rich reports using markdown
Most AI tools struggle with spreadsheets. Luke shows you a simple, tool-agnostic technique that works in ChatGPT, Copilot, Claude, or whatever you’re allowed to use at work, with no special software needed and no data risk. You’ll get better outputs, and you’ll get them faster.
How to translate content accurately, consistently and compliantly
Getting translations right in financial services means getting the tone, terminology and compliance right too. Luke walks through a structured prompt approach that locks in the right terms, matches your voice across languages, and cuts translation timescales from days to minutes.
Both techniques come back to the same underlying skill: how to structure information for AI. Master that, and you’ll get better results from every model you use, now and in future.
Who’s it for?
Marketing, comms and brand teams in financial services who want to use AI more effectively in their day-to-day work.
What you’ll learn
- Why pasting a spreadsheet into an AI chat often goes wrong, and what to do instead
- How to use markdown to make AI understand your data properly
- How to build a structured translation prompt that maintains tone, voice and compliance
- Why the quality of your examples sets the ceiling for your AI output
- How to test and refine AI translations before you roll them out at scale
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