Intrasaccular flow disruptors such as the Woven EndoBridge (WEB) device are effective treatments for wide-necked intracranial aneurysms, but challenges remain in device sizing and deployment prediction. We are developing a high-fidelity computational framework for geometrical modeling, virtual deployment, and hemodynamic assessment of the WEB using patient-specific data. A parametrized WEB model is constructed and validated against microscopy images of physical samples, and a diffusion-based deployment method is introduced to simulate the device’s gradual expansion within the aneurysm. The resulting deployed geometry is embedded into patient-specific vascular meshes to enable high-resolution computational fluid dynamics simulations. Validation across multiple clinical cases shows consistent reductions in intra-aneurysmal velocity, wall shear stress, and inflow, indicating effective flow disruption. This approach provides an end-to-end framework for improving WEB deployment planning and evaluating treatment performance through realistic computational simulations.