Read about automation, operations and AI

Agentic process automation tools compared: the five types on the market, eight evaluation criteria, questions that expose agent washing, and how to choose.

Process discovery explained: the two meanings of the term, four discovery methods compared, how automated process discovery works, and the steps of a project.

Two updates in October. And no tricks, only treats. One removes the biggest barrier to getting started with Tekst. The other makes sure your automations don’t come back to haunt you after publishing.

AI order processing explained: how AI reads orders in any format, checks them against master data, enters them in SAP, and where people stay in control.

Data mining finds patterns across records. Process mining follows each case through time. The key differences, one worked example, and where task mining fits.

The benefits of process mining, what each one depends on, what Deloitte's 2025 survey shows users expect and report, and where the benefits stall.

Agentic automation gives AI agents a goal instead of a script. How it works, how it differs from RPA, a worked example, and why so many projects stall.

Process mining use cases by function, from procure-to-pay and IT service management to audit, with real examples and the use cases that start in the inbox.

Four updates landed in September. Two of them change how you build automations. One changes how you map processes. And one opens up a entirely new data source for process mining.