Video Production Agency Streamlining Collaboration with Slack and Page Proof
Company Situation
The company is a full-service marketing agency specializing primarily in video production. Their creative team includes a creative director and video editors who manage extensive media assets accumulated over many years. They handle varied companies, including car dealerships, and maintain a substantial archive of raw and compressed footage totaling approximately 80 terabytes, with an additional 10 to 15 terabytes added annually. The team is co-located in an office environment, managing both current projects and archival content.
Existing Workflow
Currently, the agency stores all media assets on on-premises servers, divided between high-performance solid-state drives for recent projects and larger storage servers for archive footage. Media is organized primarily by project or campaign names rather than descriptive metadata tied to content specifics (e.g., car models or event types). The video editors rely heavily on institutional knowledge to locate relevant footage, as search capabilities are limited to file names and folder structures. For review and approval, the team uses Page Proof, which requires downloading footage from the server and re-uploading it for annotation and feedback.
Issues with the Existing Workflow
Difficulty in locating specific footage due to lack of descriptive tagging and reliance on inconsistent file naming conventions.
Institutional knowledge risk, as personnel turnover can lead to loss of media context and accessibility.
Time-consuming manual search process, especially for older footage across multiple terabytes of data.
Limited cloud usage due to concerns about high storage costs and bandwidth constraints given the volume and quality of footage.
Fragmented review and approval process requiring multiple downloads and uploads, leading to inefficiencies.
How Shade Would Change Their Workflow
Shade would enable the agency to implement advanced AI-powered tagging and search functionality across their entire media archive. This would transform their ability to retrieve footage based on natural language queries (e.g., “ribbon cutting footage” or “fall leaves with Toyota car”), independent of file naming conventions or prior knowledge. Shade’s platform can integrate with their existing storage infrastructure, providing seamless indexing without the need to migrate all data to the cloud upfront. Additionally, Shade’s collaborative features would streamline review and approval workflows by centralizing feedback and annotation, reducing the need for multiple platform transfers.
Benefits
Dramatically improved searchability and accessibility of media assets through AI-driven metadata tagging.
Reduced dependence on individual team members’ knowledge for finding and utilizing footage.
Time savings across production and post-production workflows by instantly locating relevant content.
Enhanced collaboration and streamlined review processes, minimizing manual downloads and uploads.