AI you can test, see, and undo

What we're tracking

• •Testing an AI agent before it ever answers a customer If you are going to let software reply to customers without a person in the loop, you need a way to know how it behaves before it goes live, not after. That is what evaluation means in practice: you take the changes you are about to ship, run them against real or realistic conversations, and measure the outcome while the stakes are zero. Then you keep measuring once it is live, because a system that was right last month can drift as your product and your customers change.
• •Keeping an automated decision visible and reversible The second item is smaller in scope and larger in principle. Xero updated its Automatic Bank Reconciliation, the task of matching the lines on a bank statement to the records in your books. The company says the feature "is designed to take the repetitive work out of bank reconciliation, making it faster while keeping every decision visible and reversible" [2]. Those last three words are the whole point.
• •Turning a spreadsheet into something your team can use Google launched Sheets canvas, which it describes as "a new Gemini-powered capability that transforms your spreadsheets into custom, interactive, read-write applications using simple natural language prompts" [3]. Strip away the phrasing and the idea is familiar: a lot of businesses run on spreadsheets that have quietly outgrown themselves. The sheet started as a list and became the system of record for a process nobody formally built.
• •Capturing a meeting without leaving it Google also made its "Take Notes for me" feature available for in-person meetings. The company frames the problem plainly: "We know that balancing active participation with note taking during face-to-face discussions can be a challenge", and argues that "you shouldn't have to choose between staying present in the moment and capturing critical context for later" [4].
• •How enterprise AI actually arrives — through people The last item is a reminder that adoption is a human problem before it is a technical one. IBM announced a partnership with OpenAI, and the headline detail is about training rather than technology: IBM "plans to train and certify tens of thousands of consultants on OpenAI's technologies as part of this deal" [5].