Debt collection with AI: transparency obligations for chatbots and automated communication

The focus: transparency obligations for chatbots and automated communication. What matters for creditors is which change directly affects deadlines, interest or evidence obligations, and by when it has to be reflected in their own systems.

The cut-off date matters: the rate applicable during the relevant period of default is the one that counts. Where default runs across a cut-off date, the calculation is split into sections. Registered collection service providers in Germany operate under the Legal Services Act (RDG) and record every processing step verifiably. That keeps the case understandable for colleagues with no prior knowledge of it.

The change is felt most where many invoices with small amounts arise or where payment terms are long. For accounts receivable this means reviewing templates, interest calculation and reminder texts, regardless of company size.

Business-to-business trade partly uses different values than dealings with consumers. Anyone serving both groups should hold two separate rule sets in the system. In debt collection, the combination of fast contact and a solid chain of evidence decides the prospects of recovery. For the constellation set out here the rule is: transparency obligations for chatbots and automated communication.

The impact shows up in three places: the size of ancillary claims, the wording of reminder letters and the system configuration. Changing the interest rate only in the letter but not in the accounting system produces differences at the next reconciliation.

Anyone handing receivables to a service provider should supply the calculation basis with them. Otherwise reconciliation work arises that slows the whole process. It also matters to agree clearly who keeps contact with the debtor once the file has been passed on. The earlier this point is clarified, the less time enforcement costs later.

A reliable approach follows fixed stages rather than instinct. First the payment status is checked, then a factual payment reminder follows, then a formal reminder with an unambiguous final deadline. If payment still fails to arrive, the court dunning procedure or a handover to a collection agency are the options. Standardisation reduces effort here far more than additional checking does.

Switching channel helps: what fails by email is often resolved in a few minutes by phone. The result of the call is then confirmed in writing. A short status report at fixed intervals keeps the case transparent even after handover. Everything else is subordinate to this goal: transparency obligations for chatbots and automated communication.

Three areas remain worth watching: the semi-annual adjustment of the base rate, the trend in corporate and consumer insolvencies, and the further stages of the e-invoicing obligation. All three act directly on the receivables portfolio and on process design.

It also pays to look at your own customer portfolio. A cluster of late payments at individual customers is an early warning signal that appears before any statistic. When a file is handed to a collection agency, completeness of the paperwork is what determines how quickly work can begin. The effort is one-off; the benefit repeats with every case.