AI consulting · Media and entertainment
AI consulting for media, entertainment and localization companies
Native helps media, entertainment and localization companies put AI agents into the operations behind the content: localization workflows, metadata, rights and the finance work that scales with every title. At Iyuno, a global localization and dubbing company, Native built an engine that reads its invoices at 99.9% field-level accuracy. The first agent is typically in production within weeks.
Featuring insights fromShaun Devan · Founder & CEOUpdated · 4 min read
Where AI has an impact in media and entertainment
Subtitle and caption QC
Every file checked for timing, reading speed and delivery spec before a person reviews the exceptions.
Transcription and script prep
Transcripts and spotting lists drafted for linguists to correct, not type from scratch.
Translation first passes
Drafts that apply the series glossary and character names, for translators to adapt.
Metadata and artwork
Titles, synopses and tags produced for each platform's format and language.
Rights and availability
Questions about territories and windows answered from the rights system, with the clause cited.
Vendor invoices
Invoices from studios and freelancers read in any format and matched before payment.
Royalty and residual inputs
Usage reports gathered and reconciled so finance starts from clean numbers.
Content discovery
Catalogue search that understands what a title is about, for sales teams and platform partners.
Where AI fits in a media business
Media companies already use AI in the creative tools: speech recognition, machine translation, synthetic voice. The bigger gap is in the operations around them. Every title brings scripts, subtitle files, delivery specs, rights windows, vendor invoices and metadata for each platform, and most of it is still moved and checked by hand.
That operational layer grows with the catalogue and the number of languages, which is why it is where agents have the most impact. They read the files, check them against the spec, and route the exceptions to the people who make the editorial and commercial calls.
AI dubbing and localization: what agents do and what stays human
Localization is where the line between machine and person matters most, because a performance or a joke can be technically correct and still wrong. We draw that line with your localization leads before anything is built.
| Work | Agent | Your team |
|---|---|---|
| Transcription and script preparation | Drafts the transcript and the spotting list | Linguists correct and approve |
| Subtitle and caption QC | Checks timing, reading speed, line length and the delivery spec | Reviews the flagged lines |
| Translation drafts | Produces a first pass with the series glossary applied | Translators adapt and sign off |
| Synthetic or cloned voice | Only where the performer's consent and the contract allow it | Decides, case by case |
| Platform deliverables | Assembles packages and checks them against each platform's spec | Approves delivery |
Consent and rights come first
Voice and likeness are contractual in this industry. Union agreements such as SAG-AFTRA's require a performer's consent and compensation before a digital replica of their voice is used, and talent contracts and territory deals add their own limits. Any agent that touches a performance checks those terms first and records what it relied on.
Rights data has the same discipline. An agent that answers whether a title can run in a territory, on a platform, in a given window, answers from your rights system and shows the clause it read. It never guesses an availability.
Proof from the back office and the front
At Iyuno, about 400 intercompany invoices a month arrived as PDFs in every layout from entities around the world. Native built an engine that reads each one with two OCR passes and a model that reconciles them, matches it against internal systems, and sends anything anomalous to a person. Processing went from days to minutes.
On the content side, Native helped Paracelsus Recovery run a web estate of more than 2,000 pages where translation agents keep seven languages in step, and every locale passes a validation gate before it ships. The same gated, reviewable approach is how we build localization workflows.
What an engagement looks like
- Weeks one and two: map how a title moves from delivery to every territory, and where files wait or get rechecked.
- The first agent: usually on a high-volume, rules-heavy step such as subtitle QC, metadata or invoices, live within weeks.
- Within months: agents across localization, content operations and finance, with your team trained to run and extend them.
- Throughout: everything built in your accounts, with the code, data and credentials in your name.
Case study · Iyuno
Iyuno cut invoice processing from days to minutes.
Native helped Iyuno build an extraction engine that reads the invoices reaching its finance team, whatever the format, at 99.9% field-level accuracy. It gave the team back over 250 hours.
Frequently asked questions
How is AI used in media and entertainment?
In the creative tools, for speech recognition, translation and synthetic voice, and increasingly in operations: subtitle QC, metadata, rights questions, vendor invoices and delivery packages. The operations side is where most companies still have the largest manual workload.
Can AI do dubbing and localization?
AI can draft transcripts, translations and subtitle timing, and check files against delivery specs, which removes most of the mechanical work. Adaptation, performance and final sign-off stay with linguists and directors, and any synthetic voice needs the performer's consent.
What does an AI consultant do for a media company?
An AI consultant maps how titles, files and invoices move through the business, finds the steps that are manual and repetitive, and builds agents that do that work inside your existing systems. Native's forward-deployed engineers build the agents and stay until they run in production.
Is it legal to use AI voice cloning for dubbing?
It depends on the performer's contract, the applicable union agreement and local law. Agreements such as SAG-AFTRA's require consent and compensation for digital replicas, so any workflow that uses a synthetic voice has to check those terms first.
Where should a localization company start with AI?
Usually with a high-volume step that follows clear rules, such as subtitle QC or invoice processing. Both show their impact within weeks and do not touch the creative work.
