Performance-Optimized Modular Platform for Film and TV Production Workflow Automation

The client’s platform experiences significant performance issues, including slow response times of up to 30 seconds for simple interactions, and has implemented critical business logic directly on the front end, contrary to best architectural practices. They are under tight deadlines to complete a minimally viable product for investor presentations and pilot onboarding, without sufficient internal resources to accelerate feature development or ensure maintainability.

A mid-sized entertainment technology startup developing a cloud-based content production platform powered by AI, focusing on streamlining film and TV workflow processes

• Achieve a minimum 3x performance improvement to support real-time user interactions and content processing
• Reduce operational workload for early users by 50-60% through automation and streamlined workflows
• Onboard two pilot production companies as initial users to validate platform readiness and functionality
• Enable rapid feature rollout and ease of maintenance through modular, loosely coupled architecture
• Support ongoing feature development and scalability within a tight six-month delivery timeline to attract further investments

• Automated scheduling module capable of generating daily production schedules and reports
• Enhanced budget management system with precise cost calculation algorithms
• Scene breakdown tool capable of automatically segmenting scripts into scenes within 60 seconds
• Performance optimization practices including caching mechanisms (memoization), lazy loading, and code trimming
• Loosely coupled, component-based architecture to facilitate maintainability and future enhancement

• External data sources for content scheduling
• Third-party analytics tools for performance monitoring
• Content management systems for script and scene handling

• Support for high concurrency with low latency, targeting response times under 5 seconds for core interactions
• System performance improved by at least 3x compared to baseline
• Maintainability through modular architecture and coding standards
• Support for future scalability and integration of additional features with minimal disruption

The project aims to deliver a high-performance, maintainable platform that enables early pilot onboarding, reduces operational workload by over 50%, and attracts additional funding by demonstrating rapid, reliable feature delivery. Successful implementation is expected to result in at least a 3x improvement in platform responsiveness and a 2x decrease in clerical operational tasks, fostering faster content production cycles and scalable growth opportunities.