This training is for Unscripted TV freelancers in production and production management who need smoother post workflows and more predictable deliveries. It’s ideal for Production Managers, Production Coordinators, APs, Series Producers, Edit Producers and Post Production Coordinators who oversee schedules, budgets, workflows, reviews and handovers between teams and suppliers. Post‑based freelancers will also benefit—especially Assistant Editors and Offline Editors—who want repeatable standards for media management, version control, remote collaboration and delivery compliance.

Learning objectives: (1) understand a modern Unscripted post workflow from ingest to delivery; (2) reduce avoidable rework through consistent media, project and version control; (3) run cleaner remote/hybrid collaborations and handovers; and (4) make informed choices about automation/AI without adding compliance or reputational risk. Delivery is primarily show‑and‑tell and example‑led: short taught sections followed by quick demos of simple artefacts (folder structures, handover packs, notes/version logs, delivery checklists) plus practical “what would you do?” scenarios. We’ll capture questions as we go, with a dedicated Q&A at the end.

Topics covered:

• • Workflow mapping: roles, responsibilities and typical failure points in Unscripted post
  • Media management that survives real life: naming, folder structures, codecs/HDR considerations, proxies, relinks and storage hygiene
  • Project setup standards: bins, sequences, track layouts, labels and markers for speed and clarity
  • Notes and change control: versions, review links, approvals and “single source of truth” habits
  • Remote collaboration and handovers: what to document, what to package, and how to avoid broken turnovers
  • Delivery readiness: export discipline, audio/loudness basics, captions, paperwork and common broadcaster/platform expectations
  • Technology watch: how camera formats/codecs, software updates, cloud tools and hardware choices affect post—and how to keep workflows flexible as they change
  • Automation/AI in post: realistic use cases (logging, transcribe, rough assemblies) and risk controls (data, rights, confidentiality)

You’ll leave with a clear checklist you can apply on your next job, plus templates and habits that reduce stress, protect quality and make your work easier to scale—from small offline teams to fast‑turnaround multi‑episode series. The session also demystifies where AI and automation can genuinely help (and where they can create risk), so you can adopt new tools safely and confidently.