Display omitted •Cancer-associated thrombosis (CAT) is a leading cause of death in cancer patients.•Introduction of direct oral anticoagulants has made treatment decisions complex.•An expert working group of clinicians met virtually to define consensus guidelines.•A practical colour-coded algorithm was produced to guide complex clinical decisions. Cancer-associated thrombosis (CAT) is a leading cause of death amongst people with cancer. Treatment decisions have become increasingly complex with the introduction of direct oral anticoagulants and existing guidelines are limited to evidence from patients meeting stringent trial-entry criteria. To assist decision making for healthcare professionals managing CAT in challenging ‘real-world’ situations, an expert working group of clinicians from oncology, haematology and pharmacology convened over a series of virtual meetings between September 2020 and January 2021 to catalogue the most challenging clinical problems and define consensus recommendations. Clinical problems were divided amongst the group members according to their areas of expertise, with each reviewing the literature and writing their recommendations. Using a web-based file-sharing platform, each contribution was reviewed until consensus was reached. Each clinical problem is discussed; these include managing gastrointestinal impairment, renal impairment, liver impairment, increased risk of bleeding, extremes of body weight, drug interactions, anticoagulation beyond the initial six months and managing recurrent thrombosis. A user-friendly, practical, colour-coded algorithm was produced to help guide clinical decision-making in CAT. Red highlights decision steps where shared decision making, such as with the multi-disciplinary team, is recommended. Amber steps reflect uncertainty of existing evidence. Multiple amber steps per patient warrant increased caution. Making anticoagulation decisions in people with cancer is challenging; it is important that healthcare providers can discuss where there is a lack of evidence and ensure that patient preference is given priority. This algorithm and consensus recommendations are a useful tool to guide these complex discussions.