4 posts tagged with "Samples"

Consolidation is where errors hide. Pull three subsidiaries' P&Ls into one set of figures and the numbers will usually look fine, the failure mode is a line that's quietly understated, not one that's obviously wrong. The value of an agent here is that it holds the whole picture and notices the line that doesn't fit the pattern.

This recorded run merges three Vietnamese subsidiaries, Hanoi, HCMC, and Da Nang, into a single consolidated statement, then flags the one figure worth a second look.

The hard judgement in bank reconciliation isn't matching, it's knowing what to leave alone. A one-cent difference is card-processor rounding; a fifty-dollar difference is a question for a human. A good agent draws that line consistently and shows you only what deserves attention.

This recorded run works a real statement grid: it categorises the lines that are missing a category, and flags the amounts that are genuinely off, without touching the rest.

Reconciliation is the kind of work agents are actually good at: mechanical, high-volume, and easy to get subtly wrong. The trick is not just doing the match, it's making the result legible, so a human can trust it in ten seconds.

Here's a recorded run against a real grid: an internal ledger and an external export, matched by reference, with every disagreement called out.

Most "AI form" demos are a video. This one is the real thing: the product component below is the same React form you'd ship, the panel on the right is Distri's real @distri/react transcript, and the run between them is recorded, it plays back through the actual components, so what you see is exactly what a user would see.

Watch the agent read one paragraph of prose and file a complete security incident report.