In this session, we will present a combination of symbolic AI and non-symbolic AI reasoning techniques to ease the burden on knowledge workers by offering intelligent just-in-time assistance. This approach is based on open international workflow and decision standards and anchored on the low-code Friendly Enough Expression Language (FEEL) from the Decision Model and Notation (DMN). We use Natural Language Understanding (NLU) to enable knowledge-based workflows based on unstructured communications using unstructured data. NLU detection, mediated by decision models of email-created events triggers the flow of knowledge work, detects intermediate business events, route attachments and results for approval or exceptions, and provides useful information to knowledge workers, including calendar events, contacts, and various reports.  A Real Estate Closing Process will be used as an example.