Saoirse Dunlevy

AI-driven workflows let teams fix outdated training videos in days instead of months.

AI handles the repetitive production work while CSMs keep control of accuracy and priorities.

Rapid product cycles outpace training updates, cascading into support costs and compliance risk.

AI dubbing speeds up training rollouts but requires checking all three localization layers.

AI video generation excels at creative work but fails at the precision software tutorials demand.

Different teams need different access levels to the same training video library.

Storage and bandwidth charges hide outside every LMS pricing model.

Three hidden costs lurk in most SaaS training video budgets besides creation.

SME time sprawls across production when workflow treats review as reactive instead of strategic.

Duplicating subject-matter expert time between SOPs and videos quietly doubles your training budget.

Courts and regulators now enforce specific captioning standards for training video, not guidelines.

Hybrid approaches win where pure models break under volume and change.

Vendor quotes hide the real cost buried in internal labor, revisions, and maintenance.