Read about automation, operations and AI

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.

Process analytics measures how a process performed. Process intelligence is the category that contains it. The difference, and how to spot it.

Gartner has named Tekst in its Coolest Vendor Innovations in Process Intelligence report. Gartner recognises our Conversational Process Intelligence, which turns emails, chats and documents into the operational context enterprise AI needs to deliver.

Learn how a matching model takes an unstructured value and resolves it to the corresponding record in a customer's own master data.

Choosing process mining software is a data readiness decision first. The event log, the five maturity levels, and when process mining is the wrong tool.

Process intelligence reconstructs how work actually runs, using operational data instead of documentation. What it is, what it does and where it stops.