What challenges did Qualia face before AI implementation?

Document-heavy real estate closing workflows require processing emails and multiple transaction documents quickly and reliably. Previous AI rate limits and unpredictable behavior blocked broader scaling of the product.

What was the impact of the AI solution?

During beta, the system processed more than 100 billion tokens across 1.1 million emails and 1.8 million documents. It saved customers hours per transaction by automating manual workflows. The system detected costly issues such as commission discrepancies and an unreleased mortgage lien before closing. Users can ask questions and continue working while the agent responds immediately.

Source

GCPEvidence: Low40/100

Qualia case study: agentic Document/Email workflow automation for real estate closings using Gemini

Use case typeLegal workflow automationUpdated Jun 13, 2026

Qualia provides closing software to thousands of title and escrow companies that help consumers complete home purchases and sales. The company built Qualia Clear, an agentic AI system that automates review, analysis, and execution of title and escrow workflows using Google Cloud AI.

Organization: Qualia
Industry: Real Estate
Location: United States
Published: May 2026

Reported outcomes

Strategic outcomes

New product / capabilityBuilt agentic closing workflow automationNew product / capabilityAdded conversational task executionBetter decisions & insightDetected costly closing issues earlySpeed & agilityEnabled immediate user responses

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

Customer: Qualia
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Story

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

1Document automation
2Workflow automation
3Agentic AI

Document-heavy real estate closing workflows require processing emails and multiple transaction documents quickly and reliably.
Previous AI rate limits and unpredictable behavior blocked broader scaling of the product.

Qualia built Qualia Clear and integrated Gemini into its platform to review transactional emails and documents, generate summaries, power a conversational interface, and execute specific tasks.
The system uses Gemini 2.5 Flash for processing emails and documents and Gemini 2.5 Pro for the conversational interface and task execution.
Qualia also uses Agent Development Kit to build an agent framework for a reporting subcomponent.

Technologies

Gemini 2.5 Flash Gemini 2.5 Pro Agent Development Kit Google Cloud Google Workspace Google Places API Google Street View

During beta, the system processed more than 100 billion tokens across 1.1 million emails and 1.8 million documents.
It saved customers hours per transaction by automating manual workflows.
The system detected costly issues such as commission discrepancies and an unreleased mortgage lien before closing.
Users can ask questions and continue working while the agent responds immediately.

Architecture

Qualia Clear integrates Gemini 2.5 Flash to process emails and documents, Gemini 2.5 Pro to drive the conversational interface and task execution, and Agent Development Kit for an agent framework subcomponent. The solution runs within Qualia's platform alongside transaction context from application and email systems.

Sources & evidence1

Evidence: Low40/100Evidence strength

Customer explicitly identified
Primary source available
Technical implementation details available

Type: Customer StoryPublished: May 21, 2026Publisher: Google Cloud Customer StoryEvidence: PrimaryConfidence: High

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

Qualia case study: agentic Document/Email workflow automation for real estate closings using Gemini

Use case focus

Challenges

Solution

Impact

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