Podcast & blog
We are building AI for treasury and finance teams, and sharing the journey openly: interviews with the people who run treasury, plus articles with the lessons and tips we pick up along the way.
Blog
We have a new office
Automation Boutique has moved into Dotslash Utrecht. Desks, good coffee, and a community of builders. Come by and see what we're working on.
67% less manual categorisation
Don’t wait till it’s perfect.
Why SFTP Still Rules the Finance World
Introducing NineAnts: data automation for treasury and finance
Building Automation Boutique: Weekly Reflections - 2025 Week 44
Building Automation Boutique: Weekly Reflections - 2025 Week 45
Treasury Leaders
What Treasury Leaders Can Learn from Startups and Corporates
Jennifer Pearson sets up treasury for companies that do not have a treasurer. She explains what large corporates should take from startups, and what startups get wrong when they copy the corporate playbook.
Go to episodeHow Treasury Teams Automate Too Late and Rely on Spreadsheets Despite AI Growth
Tracey Knight has spent thirty years in and around corporate treasury. She explains when a company should first invest in treasury technology, and how to run a vendor demo that shows you what you actually need to see.
How Bad Financial Decisions and Poor Cash Management Are Destroying Businesses
Nikos Polymenakos lived through Greece's decade of bankruptcies and capital controls. He explains why companies that could not read their own balance sheet went under, and why AI belongs at the end of a data journey rather than the start.
Treasury Control in a Decentralized Company: When the Textbook Doesn't Work
Euroports has more than a hundred entities and around 180 bank accounts. Matthias Depoorter explains why the textbook answer of one global bank and zero-balancing pools was the wrong one, and what he built instead.
Leaders Think AI Will Save Them, But They Are Losing Control Without Human Skills
Mariam Halfhide advises leaders on data and AI strategy. She argues that the skills worth investing in are the ones AI cannot do, and that treating governance as an afterthought is how adoption stalls.
