AI use case

AI avatar and translated video for corporate communications and marketing

AI avatar video turns a script or an existing recording into a presenter video in many languages, for executive updates, product education and marketing. Communications and marketing teams review the script and the translation, then publish, instead of booking talent, a studio and a voice artist again each time a line or a language changes.

By Len Debets · Last verified 14 October 2026 · 9 public deployments

50%
Median cycle time reduction, vendor reported
3 deployments.
80%
Reported cost reduction
Würth Group, vendor claim.
USD 48,000 to USD 460,800
Indicative value per year
A software company that localizes 60 marketing, product and internal videos a year. Worked example, see how it is calculated.

What problem does it solve?

A video made the traditional way is fixed the moment it is filmed. Changing one sentence means getting the presenter and the crew back: HubSpot's video team describes a small change taking days because of the schedules of the talent and the film crew, and a week or two of waiting for translated transcripts. Miro's learning media team describes a changed button, icon or line of copy meaning a reshoot, and HENNGE's investor relations team needed at least a day of studio shooting with its executives for each investor update, and a week for the English and Japanese versions.

Languages multiply the cost. HeyGen's case study puts studio voiceovers at Würth at €800 to €1,200 for 10 minutes of audio, and Würth's team says it tried adding subtitles in other languages to the English version when voice artists were too expensive. Workday says it was spending hundreds of thousands of dollars a year on localization and sometimes turned projects down, especially long webinars.

How does it work?

  1. Write or collect the script. The team starts from a script, a slide deck, a blog article or a recording. HubSpot drops a blog URL into the tool to get a first script, and SimCorp's colleagues send scripts, slides or self recorded clips to one specialist.
  2. Choose the presenter. A stock avatar, or a custom avatar of a real executive or expert, as HENNGE created for two of its executives. Any likeness of a real person needs that person's written consent. The video is generated from the text, so a line can be changed afterward without a reshoot.
  3. Translate. The tool translates the script and the voice into the languages needed. Workday loads its approved term base so the translation uses the right terms, and Workday's linguists proofread the translation inside the tool.
  4. Review and sign off. A communications or marketing owner checks the content, and a native speaker checks the translation for visible or high risk material.
  5. Publish where people are. Würth's regional executives post monthly updates to the intranet, which serves each employee the version in their language. ERGO distributes its group news video to all employees, and marketing teams attach the video to a launch page or event.
  6. Update the script, not the video. When a product, policy or number changes, the team edits the text and regenerates the affected video and languages.
Audience
Employee facing
Autonomy
Copilot
Adoption
Early adopters
Channels
Internal tools, Digital human

What is it worth?

Benchmarks are computed from the public deployments below: one data point per organization per KPI, with who made each claim.

Value benchmarks for AI avatar and translated video for corporate communications and marketing
KPIMedianReported rangeData pointsClaimed by
Cycle time reduction50% vendor reported
50% to 50%
33 vendor
Cost reductionToo few to pool
70% to 80%
22 vendor
Productivity gainToo few to pool
5x to 10x
22 vendor
Cycle timeNot pooled
4 days
11 vendor
Productivity gainToo few to pool
100%
11 vendor

Value drivers: Speed and cycle time, Lower cost to serve, Inclusion and access, Employee productivity.

Indicative value

A software company that localizes 60 marketing, product and internal videos a year

USD 48,000 to USD 460,800

Annual localization spend avoided per year

How this is calculated

Formula: videosPerYear * languagesPerVideo * costPerLanguageVersion * savedShare. The low scenario uses every low input, the high scenario every high input.

InputLowHighBasis
Videos localized per year videosPerYear, videos per year6060The reference team. Replace with your own volume.
Languages added per video languagesPerVideo, languages48Within the 10 languages HeyGen reports for Würth's executive updates and the 7 languages HeyGen reports for Miro.
Cost of one localized version today (translation, voice, editing) costPerLanguageVersion, USD per version4001,200Editorial assumption in dollars. HeyGen's case study puts Würth's studio voiceovers at €800 to €1,200 for 10 minutes, so shorter videos sit lower.
Share of that cost avoided with AI translation and avatar generation savedShare, fraction of cost0.50.8HeyGen reports 80% lower cost than studio voiceovers at Würth. That is the vendor's best case and covers voiceover only, so the high value applies it to a wider cost and the low value is more cautious because review time stays.

What it leaves out: Counts translation, voice and editing spend only. It leaves out license costs, the review time of native speakers and communications owners, the value of faster launches, and any change in viewership or engagement. Every saving reported on this page comes from a vendor's case study, and none is independently measured.

Who already uses it?

9 public deployments, strongest evidence first. Grades: A regulator or audit, B the organization itself, C vendor case study, D anonymous or estimate.

ERGO Group

Germany · Insurance · 2026

ScaledGrade C

ERGO, the Düsseldorf insurance group that is part of Munich Re, distributes its group wide "ERGO News" updates to all 37,000 employees in more than 20 countries as videos produced with Synthesia. The program replaced slide decks and repeated explanations by individual employees. Synthesia reports that content which once needed weeks of coordination now takes minutes, that one video is localized for several languages after production, and that Synthesia is used across departments from process documentation to board level messaging. The page gives no measured saving beyond that description, and the claims come from the vendor's case study.

  • Users served: 37,000
    "Its most impactful application is the ERGO News program — group-wide updates distributed across all business units and to all 37,000 employees, produced entirely through Synthesia."
    Claimed by: vendor

HubSpot

United States · Technology and software · 2026

ProductionGrade C

HubSpot's marketing and audience development team used to wait days for talent and crew when a line in a video changed, and one or two weeks for translated video transcripts. The team now uses HeyGen avatars to edit finished videos in minutes, translate them into other languages, and pair blog articles with videos by dropping in the article URL to get a first script. The case study gives no figures, so the record describes the workflow and the vendor's account without a metric.

No outcome disclosed.

Miro

United States · Technology and software · 2025

ProductionGrade C

Miro's learning media team makes the tutorials and onboarding videos that explain new features to its customers. Any change to a button, an icon or a line of copy used to mean a reshoot with talent and a post production team. The team now writes scripts, generates avatar videos in HeyGen, updates the script mid production and translates the videos into seven languages. HeyGen reports a 10x increase in production speed and a 5x increase in capacity without added headcount. The figures come from the vendor's case study.

  • Productivity gain: 10x
    "With HeyGen, Miro achieved a 10x increase in video production speed and a 5x increase in overall video creation capacity, without needing additional headcount."
    Claimed by: vendor

Workday

United States · Technology and software · 2025

ProductionGrade C

Workday's globalization production team localizes marketing videos, internal communications and long form webinars, with stakeholder requests commonly spanning 10 to 15 languages per project. The manual workflow of translators, voice actors and post production specialists took weeks or months and cost hundreds of thousands of dollars a year, so some projects were turned down. The team now uses HeyGen to translate videos in minutes, with linguists proofreading inside the tool against an approved term base. HeyGen reports a 100% increase in capacity without added headcount. The figure comes from the vendor's case study.

  • Productivity gain: 100%
    "Cost efficiency: Significant savings via flat-rate pricing; 100% increase in capacity without adding headcount."
    Claimed by: vendor

Würth Group

Germany · Manufacturing · 2025

ProductionGrade C

Würth, the fastening and assembly materials group with 88,000 employees in more than 80 countries, used studio voiceovers at €800 to €1,200 for 10 minutes of audio, or added subtitles in other languages to the English version, to reach staff with executive messages. Regional executives now record monthly updates once and translate them with HeyGen into up to 10 languages for the intranet, and product trainers translate recorded workshops the same way. HeyGen reports 80% lower cost than studio voiceovers and a 65 minute presentation by the CEO and the owner translated into eight languages in four working days instead of at least eight. The figures come from the vendor's case study.

  • Cost reduction: 80%
    "Cost savings: By replacing traditional studio voiceovers with HeyGen's AI translation capabilities, Würth achieved 80% cost savings."
    Claimed by: vendor
  • Cycle time: 4 days
    "A recent 65-minute presentation from the CEO and the company owner, translated into eight languages, was completed in four working days—a process that would have traditionally taken at least eight days."
    Claimed by: vendor

Avantor

South Korea · Pharma and life sciences · 2024

ProductionGrade C

Avantor's digital marketing team for Asia, the Middle East and Africa launched its J.T.Baker LC/MS solvents and reagents in Korea with an AI generated video in Korean, Chinese and English instead of an off site shoot with field researchers. The video anchored an online launch event run from 18 June to 5 July that drew 118 participants and 44 new customer data entries.

Synthesia reports about 70% savings against the earlier filming and a go to market timeline cut by half, and quotes the digital marketing campaign manager crediting the campaign with notable revenue growth. Synthesia's own narrative adds that the campaign became a core revenue contributor in the second half of 2024. These are vendor case study figures, not audited results.

  • Cost reduction: about 70%
    "Reduced Costs: The promotional campaign saw a substantial cost reduction by leveraging Synthesia, resulting in approximately 70% savings compared to previous off-site filming."
    Claimed by: vendor
  • Cycle time reduction: 50%
    "Faster Launch Enablement: By replacing time-consuming traditional production with AI video, Avantor cut its go-to-market timeline by 50%."
    Claimed by: vendor
  • Users served: 118, launch event from 18 June to 5 July
    "The online launch event ran from June 18 to July 5 and attracted 118 participants, collecting 44 new customer data entries."
    Claimed by: vendor

SimCorp

Denmark · Technology and software · 2024

ProductionGrade C

A senior branding specialist at SimCorp, an investment management software provider with more than 3,000 employees, builds external product explainer videos for sales pitches, events and marketing. Colleagues send scripts, slides or self recorded clips, and he turns them into branded videos with a Synthesia template and an avatar, so colleagues who dislike filming themselves no longer have to. Synthesia reports more than 300 videos made by this one person and a fivefold speed gain over the earlier editing workflow. Both figures are from the vendor's case study.

  • Productivity gain: 5x
    "Time savings: Mochie can now produce videos five times faster than before."
    Claimed by: vendor

trivago

Germany · Travel and hospitality · 2024

ProductionGrade C

trivago wanted one on screen brand face, Mr. trivago, speaking every market's language in its TV ads, and had no practical way to find one actor for dozens of languages or to polish accents in post production. The creative team tested several generative AI platforms and used HeyGen's translation and text to speech to localize the ads for 30 markets. HeyGen reports that post production time fell by half, saving 3 to 4 months, and that ads in 15 locations were localized in three months. The figures are from the vendor's case study.

  • Cycle time reduction: 50%
    "The technology has cut post-production time in half, saving teams an impressive 3-4 months on average."
    Claimed by: vendor

HENNGE

Japan · Technology and software · 2023

ProductionGrade C

HENNGE, a Tokyo listed cloud security company, stopped holding investor meetings in person after COVID and moved to video, but shooting its executives for each quarter took a studio day and a week for an English and Japanese version. The investor relations team now makes two custom avatars of its executives in Synthesia and generates the quarterly update videos from a desk. Synthesia reports that the process fell from 5 days to 2.5 days, a figure from the vendor's case study rather than a measurement by HENNGE.

  • Cycle time reduction: 50%
    "Time savings: The team was able to reduce the video creation process from 5 days to 2.5 days, resulting in a 50% time savings."
    Claimed by: vendor

How do you implement it?

A model agnostic playbook: what to prepare, the order to build in, and what goes wrong.

Data you need

  • Approved scripts, slide decks or recordings for each video
  • A brand kit and an approved term base per language
  • Written consent for any custom avatar or cloned voice of a real person
  • A list of target languages with a named native speaker reviewer for each

Systems to integrate

  • Intranet or internal video platform
  • Marketing website, event platform or learning platform that hosts the video
  • Single sign on and access control for the video tool
  • Translation memory or term base tools

Complexity: Low

Avatar and translation tools such as HeyGen and Synthesia hold the whole production chain, as the deployments on this page show, so the build is mostly about the intranet or video platform that carries the output, single sign on, the approved term base and brand kit, and written consent for any avatar or cloned voice of a real person. Regulated groups add data governance and ISO certification checks, as ERGO describes for its rollout.

  1. 1

    Start with content that changes or needs languages

    Pick executive updates, product explainers or launch videos that are reshot often or sit in English only. Würth started with monthly executive updates and Workday with its webinars and marketing videos.

  2. 2

    Agree the rules for synthetic people

    Decide which avatars and voices may be used, record written consent from every executive or expert whose likeness is modeled, and decide how videos are labeled as AI generated.

  3. 3

    Load the terms and the brand kit

    Upload the approved term base and brand templates before the first video, so translations and layouts stay on brand. Workday loads its term base into the tool and SimCorp built a branded template that colleagues' content flows into.

  4. 4

    Put a native speaker in the review loop

    Machine translation reaches a usable draft in minutes, and a native speaker or in house linguist fixes terms, tone and names before release, as Workday's linguists do inside the tool.

  5. 5

    Publish through the channel people already use

    Serve each viewer the version in their language from the intranet or the launch page, and measure views and completion per language, not only production time.

Guardrails

  • Every video reviewed and approved by a named owner before it is published
  • Translations checked by a native speaker for external or high stakes content
  • No avatar or cloned voice of a real person without written consent, and a leaver process that retires it
  • AI generated video labeled as such, in line with the transparency rules that apply
  • Executive messages on legal, financial or personnel matters approved by the executive in person

KPIs to instrument

  • Days from final script to published video, per language
  • Cost per localized version, before and after
  • Videos published per month and per team
  • Views and completion rate per language version
  • Corrections raised by native speakers per translated video

Human in the loop

A communications or marketing owner approves each script and each video, a native speaker approves each translation that leaves the company, and the person whose likeness is used approves what is said in their name when the topic is sensitive.

Common failure modes

Mistranslation that reaches staff or customers
A term, name or tone is wrong in a language nobody on the team reads. Require native speaker review for external content and keep the term base current.
A likeness used beyond its consent
An executive's avatar or voice keeps speaking after they leave or on topics they never approved. Keep consent records, scope them to topics and retire avatars with the person.
Videos that feel artificial
Viewers lose attention or trust when delivery sounds flat. Test with a sample of viewers, adjust voice settings and keep short formats where they work best.
A library that grows faster than it is maintained
Cheap production fills the intranet with videos that go out of date. Assign an owner and a review date to each video and retire what nobody watches.

What are the risks and rules?

EU AI Act

Limited risk (transparency)

Generating presenter video is not listed in Annex III. Providers of tools that generate synthetic video must mark the output as AI generated, and deployers must disclose deep fakes, such as an avatar or cloned voice of a real executive that would falsely appear authentic (Article 50(2) and (4)). The tier changes only if the same system also decides on access to work or services, which these deployments do not describe.

Rules that apply

Guidance

Controls to put in place

  • Register of avatars and cloned voices in use, with consent records and an owner
  • Labeling policy for AI generated video, applied at publication
  • Approved term base and brand kit per language, with a change owner
  • Review log showing who approved each script and translation

Frequently asked questions

How much does AI avatar video save?

Vendors report large savings: HeyGen cites 80% lower cost than studio voiceovers at Würth and a 10x production speed gain at Miro, and Synthesia cites a 50% time saving on investor update videos at HENNGE. All of these come from vendor case studies and none is independently measured, and review time by native speakers and communications owners is not counted.

Is this the same as AI dubbing or training content creation?

They overlap in tools but differ in the job. This page covers executive, product and marketing videos. AI dubbing for video covers translating the audio of finished titles, and training content creation covers courses, quizzes and learning paths.

Do we have to tell viewers that a video uses an AI avatar?

Under the EU AI Act, providers must mark synthetic video as AI generated and deployers must disclose deep fakes, meaning generated content that resembles a real person and would falsely appear authentic, such as an avatar or voice of a real executive. Labeling every AI generated video is the simple policy. HeyGen's case study about Workday lists avoiding deceptive practices such as lip syncing among its results.

How to cite this page

Blits.ai AI Use Case Library, "AI avatar and translated video for corporate communications and marketing", last verified 14 October 2026, https://www.blits.ai/ai-use-cases/corporate-and-marketing-avatar-video. Licensed under CC BY 4.0. Method: how we verify use cases.

Changelog
  • 14 October 2026: First published

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