What challenges did ImagineArt face before AI implementation?

Creative production was fragmented, slow, and expensive. Traditional planning, human modeling, and physical shoots required weeks of coordination across multiple teams. The company needed a unified stack that could support realistic, high-fidelity creative workflows at scale.

What was the impact of the AI solution?

Compressed campaign launch cycles from weeks to days. Attributed over 50% of API costs to Google models due to user preference and output quality. Eliminated external third-party audio providers through native audio generation. Enabled high-fidelity campaigns without traditional overhead.

Source

GCP

ImagineArt builds agentic generative creative workflows with Gemini Enterprise Agent Platform on Google Cloud

Use case typeWorkflow automationUpdated Jun 13, 2026

ImagineArt consolidated global ad and analytics data in BigQuery and used Google Cloud models to support a high-fidelity creative production workflow. The company integrated Gemini in its Chatly platform, added specialized generative models such as Veo and Nano Banana, and moved toward agentic workflows through Imagine Assist and Omni Agent. By combining these services with real-time tracking in Data Studio, ImagineArt replaced manual planning, modeling, and shoots with a more automated creative operating model.

Organization: ImagineArt
Industry: Consumer & Food
Location: United States
Published: June 2026

Reported outcomes

+50%

API cost share attributed to Google modelsCost savings

−50%campaign launch cycle duration

Strategic outcomes

Speed & agilityCompressed creative production from weeks to daysOther strategic outcomeUnified creative workflows into a single Google Cloud stackOther strategic outcomeEnabled high-fidelity, production-ready creative generation

Catalog median for cost savings deployments: +48.5% across 42 reported metrics. Compare benchmarks →

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Use case focus

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1Workflow automation

Creative production was fragmented, slow, and expensive.
Traditional planning, human modeling, and physical shoots required weeks of coordination across multiple teams.
The company needed a unified stack that could support realistic, high-fidelity creative workflows at scale.

Integrated Gemini for text-based productivity in Chatly.
Used BigQuery to consolidate disparate global ad and analytics data.
Used Data Studio for user trend and ROI visualization.
Built agentic workflows through Imagine Assist and Omni Agent using Gemini as the reasoning engine.
Leveraged Veo 3 and Nano Banana for video and image generation, including native audio pipelines.

Technologies

Gemini Enterprise Agent Platform BigQuery Data Studio Veo Nano Banana Gemini

Compressed campaign launch cycles from weeks to days.
Attributed over 50% of API costs to Google models due to user preference and output quality.
Eliminated external third-party audio providers through native audio generation.
Enabled high-fidelity campaigns without traditional overhead.

Architecture

ImagineArt built a unified creative AI stack on Google Cloud, combining Gemini for text productivity and reasoning, BigQuery for data consolidation, Data Studio for performance visibility, and specialized generation models such as Veo and Nano Banana. It then organized these capabilities into agentic workflows, including Imagine Assist and Omni Agent, and used model-native audio generation to remove external production steps.

Implementation partners1

Tridorian

Sources & evidence1

Groundedness: 4/5Type: Customer StoryPublished: Jun 13, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

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