A mask that appears in seconds can still need careful edge correction. A transcript can be fast and still mishear a product name. The schedule should reflect the work needed to approve the result, not only the time taken to produce a first pass.
Break the edit into separate jobs
Distinguish logging, selection, assembly, graphics, colour, audio, captions and delivery. Identify the task an assistive tool might help. This makes the estimate easier to test than a broad claim that “AI makes editing faster”.
Use difficult footage in the test
Include movement, overlapping subjects, background noise or specialised vocabulary where they occur in the real job. Check the installed software and hardware. A successful test with a simple clip is a starting point, not proof that every shot will behave the same way.
Protect the editorial decisions
An automatic selection cannot establish whether a quote is fair in context. A reframing pass cannot decide which person matters to the story. Keep an editor responsible for meaning, rhythm and the final review.
Schedule cleanup explicitly
Allow time for correction and consolidated feedback before multiplying versions. For a focused example, read AI object masking for brand video. Discuss your footage and deadline with Visual Matters before committing a delivery date.