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Proof B Live confirmed

Lumen Technologies

genAI content supply chain (producing on-brand assets at scale)

IndustryTelecomLeverAcquisitionFamilyGenerationImplementationMartech platformStagediscovery
Pattern proven in 8 industries still untouched in Media & entertainment, Travel & hospitality, Food & beverage +4 See the pattern map
de 25 a 9 jours
B2B campaign launch time, about 3x faster (from concept to go-live)
"25 days from concept to launch can now be done 3 times faster" S1

Lumen Technologies cut its B2B campaign launch time from 25 to 9 days (about 3x faster) by generating on-brand copy and visuals in Adobe GenStudio for Performance Marketing with Firefly and Custom Models.

Key points

  • genAI production of B2B campaigns: per-persona copy and on-brand visuals.
  • Adobe GenStudio, Firefly and Custom Models on Lumen's IP, approval via Workfront.
  • Campaign launch time cut from 25 to 9 days, about 3x faster.
  • Evidence B, confirmed status: Adobe announcement and customer story from June 2025.

Objective

Reduce the time between a B2B campaign concept and its go-live, while keeping assets on-brand and legally approved.

The deployment

Lumen Technologies, a US B2B telecom operator, produces its campaigns (paid social, display, banners, emails) in Adobe GenStudio for Performance Marketing. The application generates copy tailored to each persona and, via Firefly and Custom Models trained on Lumen's IP, the campaign visuals. The assets are ingested into Adobe Workfront for legal and brand approval before distribution. The same space is used to generate, test and adapt the creatives.

Results Proof B

de 25 a 9 jours
B2B campaign launch time, about 3x faster (from concept to go-live)
"25 days from concept to launch can now be done 3 times faster" S1

Official Adobe announcement picked up on BusinessWire and documented in an Adobe customer story, with figures consistent across the three. All sources come from Adobe or its press wire (interested parties), hence B and not C.

How it works

Documented architecture
revue brand et legale via Workfrontperformance reinjectee dans les briefs Personas et brandguidelines Firefly + Custom Models(image et copy on-brand) Adobe Firefly GenStudio for PerformanceMarketing Adobe GenStudio Marketing + creative +legal (approbationWorkfront) Paid social / display /email

The stack in detail

  • plateforme Adobe GenStudio for Performance Marketing single space to generate, test and adapt campaign assets (per-persona copy + visuals)
  • llm Adobe Firefly image generation model trained on commercially licensed content, used for the campaign visuals
  • llm Firefly Custom Models Firefly models fine-tuned on Lumen's IP and brand guidelines to keep generation on-brand
  • outil Adobe Workfront brand and legal approval workflow for the generated assets before distribution
  • outil Adobe Express fast versioning and adaptation of the creatives by the marketing teams

How it runs, concretely

For ops teams
CadencePer campaign: each brief launches a generation, test and approval cycle in GenStudio.
Operated byLumen's marketing and creative teams, with legal and brand reviewing via Workfront.
  1. 1
    Framing the brief and personas Marketing team

    Marketing defines the campaign, the audiences and the message per persona.

  2. 2
    Asset generation AI (GenStudio / Firefly)

    GenStudio produces the per-persona copy; Firefly and the Custom Models generate the visuals within brand rules.

  3. 3
    Brand and legal review Creative / legal team

    The assets are ingested into Workfront for approval before distribution.

  4. 4
    Distribution and adaptation Marketing team

    The creatives go out in paid social, display, email; the team tests and adapts in the same space.

The signal that drives it

The campaign brief and target personas feed the generation. The brand guidelines encoded in the Custom Models ensure the generated content stays on-brand; without them, production loses its brand consistency.

How your customers perceive this type of use

Sourced studies

Un ecart net separe les annonceurs des consommateurs : 77% des annonceurs voient l'IA positivement contre 38% des consommateurs (Yahoo/Publicis, 2024). Les mesures implicites confirment le rejet declare : en EEG, les pubs generees par IA produisent une activation memorielle plus faible que les pubs traditionnelles et sont decrites comme agacantes, ennuyeuses et confuses (NIQ, 2024). La disclosure a un effet ambivalent : elle augmente fortement la confiance quand elle est remarquee (Yahoo/Publicis), mais 27% des jeunes consommateurs disent faire moins confiance a une entreprise dont la pub est creee par IA (IAB, 2024).

77% vs 38%
Annonceurs qui percoivent l'IA positivement, contre 38% des consommateurs (2024)
72%
Consommateurs qui estiment que l'IA rend difficile de savoir quel contenu est authentique (2024)
+96%
Lift de confiance globale envers l'entreprise quand la mention IA d'une pub est remarquee (avec +47% d'attrait de la pub et +73% de credibilite de la pub) (2024)

Acceptance conditions

  • Une disclosure visible : quand la mention IA est remarquee, la confiance globale envers l'entreprise augmente de 96% (Yahoo/Publicis 2024)
  • Une qualite visuelle suffisante : les visuels IA de basse qualite augmentent l'effort cognitif et distraient du message (NIQ 2024)

Red lines

  • Le contenu IA non declare puis identifie : 72% des consommateurs disent que l'IA rend l'authenticite difficile a etablir (Yahoo/Publicis 2024) et les marques utilisant des pubs IA sont plus souvent jugees inauthentiques ou non ethiques par les consommateurs que par les dirigeants (IAB 2024)
  • Les mannequins et personnes generes par IA : 46% des consommateurs n'en veulent pas dans la publicite, l'inquietude premiere etant les standards de beaute irrealistes (Attest 2025)

Sources: Yahoo / Publicis Media (terrain Ebco) 2024 · IAB (avec Attest) 2024 · NIQ (NielsenIQ) 2024 · Attest 2025

See full acceptance: by country, by use, by generation

How to replicate

Inference, not sourced

Data prerequisites

  • brand guidelines and IP assets usable to train Custom Models
  • personas and target messages
  • reference creative library

Org prerequisites

  • brand and legal approval workflow
  • creative team able to frame the models
  • governance over generated content

Possible stack

  • Adobe GenStudio + Firefly + Workfront
  • any genAI content supply chain with fine-tuning on brand IP and an approval step
Team to operate1 marketing ops lead + 1 creative lead to frame the models + legal and brand in review + 1 platform admin

The plan, step by step

  1. Step 1
    Map the current concept-to-go-live cycle and locate the brand/legal bottlenecksDeliverable: Cycle map with time per step (the 25-day baseline)
  2. Step 2
    Gather brand guidelines, personas and IP assets usable for trainingDeliverable: Structured brand kit, validated by creative
  3. Step 3
    Train the Custom Models and configure generation in GenStudioDeliverable: On-brand copy + visual generation validated on a test batch
  4. Step 4
    Wire in the brand and legal approval workflow (Workfront or equivalent)Deliverable: End-to-end generation, review then distribution flow operational
  5. Step 5
    Launch a pilot campaign and measure cycle time against the baselineDeliverable: Before/after comparison of launch time + expansion plan

First step: Map the current concept-to-go-live cycle and identify where brand/legal approval blocks, before plugging on-brand generation into it.

Sources

  1. S1 Lumen Technologies Scales B2B Personalization with Generative AI Innovations in Adobe GenStudio Interested party news.adobe.com · 2025-06-16 · accessed 2026-07-11 archive pending
  2. S2 Lumen Technologies Scales B2B Personalization with Generative AI Innovations in Adobe GenStudio (BusinessWire) Interested party businesswire.com · 2025-06-16 · accessed 2026-07-11 archive pending
  3. S3 Lumen fuels growth marketing with Adobe GenStudio Interested party business.adobe.com · 2025 · accessed 2026-07-11 archive pending