Insights
Field notes on putting AI agents to work: what we built, what broke, and what we would do again.
Human approval for AI-prepared payments: a practical setup
2026-10-22When an AI agent prepares payments, one person should approve each batch, a different person should control vendor details, and every step should be logged. Here is how to set it up.
How to choose the first workflow to hand to an AI agent
2026-10-20Pick a workflow that runs often, is full of text, has one clear owner and is cheap to get wrong, where the agent prepares and a person approves. Do not start with your most visible process.
AI strategy for museums: what the work covers, step by step
2026-10-18An AI strategy for a museum should show where AI is already in use, which processes to start with, which risks to settle first and one small experiment to test. Here is the work, step by step.
AI agent, chatbot or automation: which does your process need?
2026-10-15Automation suits fixed steps, a chatbot suits answering people, and an agent suits messy inputs where the next step depends on what it reads. Most processes need a mix of all three.
Why our AI agents never move money on their own
2026-10-15Every agent we deploy can draft, sort and prepare, but a person approves anything that moves money, carries a signature or reaches a customer. Here is how that rule works in practice and why it makes agents faster to adopt, not slower.
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