Primary care increasingly depends on a mobile and diverse workforce, including trainees and internationally recruited clinicians. Inconsistent onboarding and limited familiarity with local clinical workflows and digital systems can increase cognitive burden, contribute to clinician stress, and introduce patient safety risks in a new or different post. Scalable, practice-based approaches that support equitable and safe workforce integration remain limited.We implemented an AI-enabled digital ecosystem within a UK general practice training scheme to support clinicians transitioning into new roles. The platform provided a personalised workspace integrating role-specific induction content, orientation to local digital clinical workflows, access to curated learning resources, and practical community information relevant to the clinician’s location. The system functioned as an on-demand reference and orientation tool during early clinical practice and was used alongside existing induction processes. No patient data were collected or processed.This initiative reframes onboarding as a continuous support process rather than a one-time event. By improving access to workflow-specific information and reference materials at the point of need, the model aims to reduce reliance on informal knowledge transfer and may help mitigate risks associated with unfamiliar systems, while promoting equity of experience and clinician wellbeing.Early implementation demonstrated high engagement and positive qualitative feedback, with clinicians reporting improved readiness and confidence during transition. Key lessons included the importance of local contextualisation, role-specific design, and minimising cognitive overload. The model appears transferable to other primary care settings and healthcare systems characterised by workforce mobilityThis experience supports evidence that early-stage clinician performance and safety are influenced by system familiarity and cognitive workload. Embedding workflow orientation and reference support within a single digital environment may reduce information fragmentation and variability in induction experiences. While formal outcome data are not yet available, the approach aligns with human factors principles and workforce strategies focused on wellbeing and risk reduction.An integrated, AI-enabled digital ecosystem may support safer, equitable onboarding in primary care by improving familiarity with clinical workflows and providing accessible reference support. Further evaluation is warranted to assess its impact on clinician wellbeing, patient safety, and workforce retention.