OpenAI Media and Entertainment Europe & UK

HYGH

IT Operations Automation · Marketing Personalization

HYGH needed to speed up internal product development and advertiser campaign creation so a small team could scale a growing digital-display network without adding process overhead or creative bottlenecks.

Development cycles reduced from 1-2 months to weekly MVPs
Launched five smaller software tools in one week
More than 4,000 digital displays across Germany
Saving 5.5 hours per employee per week

Reported impact

Business outcome

HYGH increased product-delivery speed, improved pitch turnaround, expanded creative output without adding staff, and made AI central to how it scales both internal operations and advertiser experiences.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

HYGH uses ChatGPT Business as an operating layer for both internal software delivery and advertiser-facing campaign work. Product teams record brainstorming conversations and let ChatGPT generate product requirements documents immediately, breaking major migrations or tool ideas into logical tickets instead of losing momentum after meetings. Developers then use Codex to bootstrap code, set up project files, and ship internal tools quickly, moving from months-long software cycles to a steady cadence of weekly MVPs. On the commercial side, HYGH’s agency team uses ChatGPT Business to draft copy, generate visuals, and produce more pitch iterations for clients, while OpenAI APIs power campaign preview tools that place a photographed product onto HYGH’s public screens in real time. Shared workspace links, admin controls, and GDPR-compliant handling gave the company a safe foundation, and “workflow Wednesdays” turned employee experimentation into a repeatable adoption engine across research, docs, finance, planning, and creativity.

Data flow

Meeting recordings and brainstorms feed ChatGPT Business for PRDs, tickets, and research, then Codex turns those outputs into working internal tools. For advertisers, product photos flow through API-powered preview tools that generate visual mockups on HYGH’s screens for immediate feedback and iteration.

Solution architecture

4 components · 3 layers
  1. Compute
    • OpenAI APIs Power campaign-preview experiences that turn product photos into ad mockups on public screens.
  2. Serving
    • ChatGPT Business Generates PRDs, research, copy, visuals, and day-to-day assistance across HYGH teams.
    • Campaign preview tools Show advertisers how campaigns will look on HYGH’s display network in real time.
  3. Orchestration
    • Codex Bootstraps code, project files, and prototypes so developers can launch internal software quickly.

Architecture clues

  • Brainstorm conversations are recorded and converted directly into PRDs
  • Campaign preview tools let advertisers snap a product photo and see it on public screens instantly
  • Employees use shared project links so others can see how AI outputs were created
  • Workflow Wednesdays are used to share automations and best practices

Evidence from the source

"Advertisers can snap a photo of a product and instantly see it displayed on HYGH’s public screens."
"HYGH now ships about two usable MVP software products every week"
"In one week we launched five smaller software tools"
"Since starting to use ChatGPT Business, HYGH estimates they’re saving 5.5 hours per employee, per week."
Transparency Evidence & methodology 100/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. OpenAI

    HYGH customer story

    First-party
    https://openai.com/index/hygh/
    Source type
    Vendor-published customer story
    Published
    Oct 10, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Oct 10, 2025 · OpenAI · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.