What challenges did Huge face before AI implementation?

Huge's growth team faced a time-consuming manual process to vet new business leads. Requests required research on competitors, market position, and financials, which took hours or days per request.

What was the impact of the AI solution?

The intake workflow reduced processing from days to minutes and saved hours per request. The solution enabled Huge to expand creative service lines and scale video production. Non-technical staff also saved significant time on complex tasks.

Source

GCPEvidence: Medium50/100

Huge: Gemini Enterprise agentic workflow for automated client vetting and intake

Use case typeLead qualificationUpdated 1 day ago

Huge used Gemini Enterprise to automate client vetting and intake for new business requests. The growth team replaced hours or days of manual research with an automated pipeline that researched competitors, market position, and financials. The company also extended AI-enabled content production and internal productivity across teams.

Organization: Huge
Industry: Professional Services
Location: United States
Published: July 2026

Reported outcomes

New business intake processing time: −90%

Time & speed

Request processing time: −97%

Strategic outcomes

Speed & agilityAutomated new business intakeOther strategic outcomeSaved significant time on complex tasksNew business modelExpanded creative service offerings

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

New business intake processing time: 90% decrease

Google Cloud Customer StoriesJul 31, 2026Customer storyExplicit claimMedium evidence strength

processing in minutes what used to take hours or days

Normalized claim

Request processing time: 97% decrease

Google Cloud Customer StoriesJul 31, 2026Customer storyExplicit claimMedium evidence strength

processing in minutes what used to take hours or days

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Huge
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

1Lead qualification
2Agent orchestration

Huge's growth team faced a time-consuming manual process to vet new business leads.
Requests required research on competitors, market position, and financials, which took hours or days per request.

Huge used Gemini Enterprise and the Gemini Enterprise Agent Platform to build an automated intake pipeline.
The workflow funneled incoming requests through intelligent agents that performed the research and replaced manual steps.
Huge also uses Google Workspace and BigQuery, and is leveraging Veo 3 for more video content production.

Technologies

Gemini Enterprise Gemini Enterprise Agent Platform Google Workspace BigQuery Veo 3

The intake workflow reduced processing from days to minutes and saved hours per request.
The solution enabled Huge to expand creative service lines and scale video production.
Non-technical staff also saved significant time on complex tasks.

Sources & evidence1

Evidence: Medium50/100Evidence strength