Accounts receivable insights, tips and guides

What cash flow forecasting software actually does, and how to judge whether its accuracy claims hold up — including the MAPE metric vendors rarely volunteer.

The DSO formula explained with a worked example — plus the two mistakes (seasonality and confusing it with AR turnover) that most often distort the number.

Accounts receivable automation explained plainly — what it covers, the benefit claims vendors make, and how to verify them before you buy.

Oddr and Daylit both sell AI to law firm billing and collections teams, but they go after different halves of the revenue cycle. Here's how each one handles billing, disputes, and collection, using only what each has published.

Automated replies aren't risky because the AI sounds robotic. They're risky because you don't know what they'll say. Here's how Daylit lets AI answer routine customer emails from your own templates, checked again before every send.

Monk and Daylit both go live in days and both pause follow-ups on disputed invoices. Here's where the two actually split: on what gets measured, how disputes get worked, and cash that can't wait for the customer.

Stuut and Daylit both go live faster than almost anyone in AR automation. Here's where the two actually split: on disputes, on workflows, and on cash that can't wait for the customer.

Tesorio built a public scorecard for evaluating AR platforms, exception handling included. Its own products never fill in that row. Here's the comparison, including where Tesorio genuinely has the edge.

Most past-due invoices aren't stuck because someone's disputing them — they're stuck behind a phone call nobody had time to make. Daylit's agent now runs that call, so the channel that actually reaches people stops being the one your team skips.