This doc is for Xpert Knowledge v1 implementation (circa 2025), for the latest Xpert knowledge please refer to the documentation in Admin Portal > Help > Documentation
| SightCall Features Name | Feature Descriptionåa | Feature Benefit |
| Multimodal Capture Engine | Captures and synchronizes a rich set of media inputs during a live session including audio, video, live AR annotations, and photos. | Automatically documents expert knowledge in full context with no manual effort, ensuring high-quality data capture. |
| Multimodal Processing/Structuring | Processes captured session data into structured, machine-readable formats (e.g., JSON) with timestamps, event markers, and metadata. | Saves time and standardizes documentation for AI processing, ensuring knowledge readiness for integration. |
| AI Multimedia Tutorials Generation | Automatically generates step-by-step tutorials combining text, images, annotated images, video segments, and audio transcripts using generative AI. PII an PHI completely omitted from the text present in Xpert Knowledge tutorials. The tutorial can never contain actual, personal information, patient information, health conditions, etc. Note: there is no automatic face blurring in current XK version | Rapidly creates professional, scalable content for training and troubleshooting use cases. |
| Xpert Tutorial Editor | A user-friendly interface that allows human-in-the-loop feedback for creators and reviewers – enabled to edit and redact text, remove images and video, and edit trim video snippets to ensure relevancy to each step and removal of PI in the AI-generated tutorials. During the moderation process (from draft to published), creators and managers can drop comments to guide the other party. | Ensures tutorials are accurate, high-quality, and compliant with service standards through a human lens before they’re published and shared with broader audiences. |
| Tutorial Ratings | Human-in-the-loop rating system so Xpert Knowledge licensed users can evaluate the usefulness and clarity of tutorials. | Enables continuous feedback and helps prioritize the most effective content for field teams. |
| Tutorial Comments | Collaborative commenting feature for experts and reviewers to provide contextual feedback and suggestions directly within tutorials. During the moderation process (from draft to published), creators and managers can drop comments to guide the other party. Once the tutorial reaches "published" status, these comments are no longer visible, as they only served the approval workflow. | Improves content quality and fosters team-based refinement before tutorials are published or reused. |
| Searchable Tutorial Library | Central repository with search by title to locate tutorials easily. Filter by equipment types, knowledge creator profile, and creation date | Makes expert knowledge easy to find, reuse, and improve |
| Tutorial Export & Integration API | Tutorials are publishable through as a public url link which can be embedded and shared. Tutorials can be sent and stored in an Amazon S3 Bucket and leveraged for export to other media endpoints like KMS, CRM, etc. | Streamlines knowledge access across platforms and eliminates content silos. |
| Prompt Context Engineering | Xpert Knowledge Admins have access to the AI prompt portal which enables your IT resources to customize company context to curate tutorial outputs. | Empowers enterprise IT admins to customize outputs to fit their company context based on the rich multimodal data ingestion from SightCall Remote Visual Assistance sessions. |