LIFEWOOD
Ready100
Case Study — AIGC · Publishing

A major US publishing house

AI-generated promotional video at scale across a 3,000-title publishing catalog.

Region: United StatesVertical: AIGC · Publishing

This is a Lifewood Data Technology case study in AIGC · Publishing — an engagement delivered for a major US publishing house across United States. AI-generated promotional video at scale across a 3,000-title publishing catalog.

What was the challenge?

A US publisher with 3,000+ values-based titles needed promotional video coverage for digital distribution. Per-title human production was uneconomic at catalog scale.

How did Lifewood approach it?

Lifewood signed a two-year MOU framework with the publisher on 29 April 2026, valued at approximately USD 3 million across up to 3,000 titles. Lifewood produces AI-assisted promotional video assets — two roughly 45-second trailers and one roughly 3-minute promotional video per selected title — covering concept development, scriptwriting, storyboarding, AI-assisted production, editing, and optimisation for digital distribution. Optional Spanish and Portuguese language versions are produced under the same framework. Full IP assignment to the client on payment.

What was the outcome?

Initial work-order pilot (29 April – 30 May 2026) covered 10 titles, 70 deliverables, USD 16,500 contract value. Pilot serves as the entry point into the broader USD 3M, 3,000-title commitment.

Related Lifewood services

Questions about this programme

On this programme, roughly USD 1,000 per title. The two-year framework is valued at approximately USD 3 million across up to 3,000 titles, and each selected title receives two roughly 45-second trailers plus one roughly 3-minute promotional video — three finished assets. The comparison that matters is not against a single hand-made film, which would be better and cost more, but against the alternative of leaving 3,000 titles with no video at all, which is what per-title human production had effectively meant.

The pilot on this engagement ran from 29 April to 30 May 2026 — about four weeks — and covered 10 titles and 70 deliverables at a contract value of USD 16,500. Pilots are scoped that way deliberately: they establish brand tone, prove the pipeline against the client’s existing creative work, and baseline unit cost and turnaround on real deliverables before either side commits to the larger framework.

Full IP in the delivered assets assigns to the client on payment, which is standard across Lifewood publishing and retail engagements. Source material is licensed for commercial use before production begins, and where a jurisdiction requires AI-generated media to be labelled, the delivered asset carries that disclosure. The clearances are recorded per programme so an asset reused years later can still be traced to what it was cleared for.

Yes — optional Spanish and Portuguese versions are produced under this framework, and the wider pipeline covers 50+ languages with native-speaker review across 40+ delivery centers. Language breadth is the part that is hardest to replicate: the alternative is appointing a separate studio per market, which multiplies briefs, QA standards and brand drift by the number of languages.

Every asset runs through the same dual-layer human-in-the-loop review and 95%+ accuracy SLA as Lifewood annotation work: a first-pass editor checks factual accuracy and brand voice, a second-pass reviewer validates language, cultural fit and visual polish. Approval records are timestamped so any individual asset can be audited later. That capacity is staffed rather than asserted — 414,120 training hours were delivered across the workforce during 2025, an average of 60 hours per person.

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