Google Gemini Enterprise 2026: The Enterprise AI Revolution Realized Through Agentspace Integration

Hello, this is Hamamoto from TIMEWELL.

In March 2025, the "AI Agent Summit '25 Spring" held in Tokyo unveiled Google's AI agent strategy. Ten months on, on October 9, 2025, Google integrated Agentspace into Gemini Enterprise, bringing major transformation to the enterprise AI market.

This article covers the content of that summit, the latest features of Gemini Enterprise as of January 2026, and how companies can innovate their operations with AI agents.

Then vs. Now: The Rapid Evolution of the AI Agent Market

As of March 2025 (at the Time of the Summit)

Announced Google Gemini 2.0 (Pro, Flash, Thinking, Flash-Lite)
Offered Agentspace as a standalone platform
Introduced initial adoption cases at NEC

As of January 2026

Agentspace integration: Embedded as a core feature of Gemini Enterprise (October 2025)
Gemini 2.5 Flash: Uses Gemini 2.5 Flash for answer generation, 2.0 Flash for related question generation
Deep Research agent: Automated collection, analysis, and report generation from internal and external sources
Veo 3 Fast: Video generation capability within agents
Expanded connectors: Native integration with Confluence, Jira, SharePoint, and ServiceNow

Gemini Enterprise: The 2026 Enterprise AI Platform

Platform Components

Key features of Gemini Enterprise (2026):

Feature	Overview	Target Regions
Gemini 2.5 Flash	High-speed answer generation, multimodal understanding	US/Global
Deep Research agent	Automated research, analysis, and report creation	All regions
Veo 3 Fast	In-agent video generation	US/Global
Agentspace	Conversational AI, agent creation and orchestration	All regions
Enterprise connectors	Confluence, Jira, SharePoint, ServiceNow integration	All regions

The Impact of Integration

The October 2025 integration achieved the following.

Before (Agentspace standalone):

Managed on separate platforms
Limited data connectivity
Manual agent integration

Now (after Gemini Enterprise integration):

Agent management in a single, secure environment
Permission-based access to enterprise data
One-click third-party integrations

Model Evolution: What Gemini 2.5 Flash Signals for the Future

Deepening Multimodal Understanding

Gemini 2.5 Flash understands and generates across video, audio, images, and text.

2025 March demos (shown at the summit):

Auto-extraction of cooking time from kitchen video
Counting of ingredients and cooking utensils used
Multi-language feedback generation

2026 practical use cases:

Automated audits of store operations
Real-time hygiene management analysis
Automatic generation of employee training videos (using Veo 3 Fast)

Veo 3 Fast: A New Dimension in Video Generation

In 2026, Veo 3 Fast — now available within Agentspace — generates high-quality video from text prompts.

Use cases:

Automatic creation of manual videos
Generation of training content
Video conversion of customer support materials

AI Agents: Implementing Autonomous Thinking and Action

Agent Architecture

AI agents autonomously execute the following cycle.

The agent's thought process:

1. Context understanding → 2. Reasoning → 3. Action → 4. Observation → 5. Re-reasoning → Back to 1

NEC Case Study: Revolutionizing Information Search for 90,000 Employees

Challenges before adoption:

Low search accuracy in the internal information platform "One NEC.com"
More than 90,000 employees spending time on inefficient information retrieval

After Agentspace adoption (2025):

Significant improvement in search accuracy
Research agents automatically broke down and assigned tasks
Automatic summarization and structuring of search results

2026 developments:

Seamless integration with other systems via Gemini Enterprise connectors
Automation of in-depth research with the Deep Research agent
Average 40% reduction in employee information search time

Deep Research Agent: Automating Research Work

The Deep Research agent added in 2026 automates complex research tasks.

Features:

Automated collection from internal and external sources
Cross-analysis of multiple sources
Generation of structured research reports

Use cases:

Market research report creation
Competitive analysis automation
Technology trend research

Data & AI: Creating Value from Unstructured Data

Adastria Co., Ltd.: Connecting Customer Feedback Directly to Product Improvements

Adoption background:

Customer feedback collected by store staff was not being utilized
Analyzing audio data required significant time and cost

Gemini utilization flow:

Collect: Store staff record customer feedback via voice
Convert: Automatically converted to text with GCP
Analyze: AI-powered labeling and classification
Visualize: Improvement points per product displayed in a dashboard
Execute: Product planning staff implement improvements

Results:

Improved customer satisfaction
Shorter product improvement cycle
Increased sales

Hakuhodo Technologies: Automating Advertising Planning

Challenges:

Significant effort required for digital advertising planning
Quality of media plans varied by planner

AI agent utilization:

Autonomous plan creation based on budget, objectives, and target audience
Optimization through dialogue with human planners
Automatic generation of proposals

Results:

Improved operational efficiency
Standardized plan quality
Time freed up for more advanced strategic planning

Enterprise Connectors: Seamless Data Integration

Expanded Connectors in 2026

Gemini Enterprise provides native integration with widely used enterprise tools.

Supported services (2026):

Service	Integration Content	Use Cases
Confluence	Document search and summarization	Knowledge base utilization
Jira	Ticket analysis and automation	Project management efficiency
Microsoft SharePoint	File search and sharing	Document management efficiency
ServiceNow	Incident management	IT operations automation
Google Drive	File upload	Enhanced collaboration
Microsoft OneDrive	File integration	Cross-platform connectivity

Permission-Based Access

Gemini Enterprise integrates with enterprise identity management systems to control access to information based on each user's permissions.

Security features:

Permission management in multimodal search
Compliance with data retention policies
SOC 2, ISO 27001 compliance

TIMEWELL's Enterprise AI: Integration with ZEROCK

Achieving Further Sophistication with ZEROCK

ZEROCK integrates with Gemini Enterprise to provide a customized AI platform for Japanese companies.

Key features:

GraphRAG technology: Builds company-specific knowledge graphs for high-accuracy information retrieval
AWS domestic servers: Data managed within Japan, compliant with regulations
Prompt library: Business-specific AI utilization templates
Knowledge control: Reflects company-specific information management policies

Example of Gemini Enterprise × ZEROCK integration:

Retrieve data from external tools (Confluence, Jira) with Gemini Enterprise
Build a company-specific knowledge graph with ZEROCK's GraphRAG
Create business-optimized agents with ZEROCK's prompt library
Securely manage data on AWS domestic servers

Optimize AI Adoption Strategy with WARP

WARP supports Google AI agent adoption.

Support includes:

Gemini Enterprise adoption consulting
AI agent design and development support
Integration design with existing systems
Strategic planning by former enterprise DX specialists
Employee training programs

Adoption Best Practices

Phased Adoption Approach

Phase 1: Pilot deployment (1–3 months)

Small-scale deployment in a specific department
Utilizing basic agent features
ROI measurement

Phase 2: Departmental rollout (3–6 months)

Expansion to multiple departments
Development of custom agents
Integration of enterprise connectors

Phase 3: Company-wide deployment (6–12 months)

Company-wide AI agent utilization
Redesign of business processes
Continuous optimization

Five Keys to Success

Define clear use cases: Articulate the challenges to solve
Ensure data quality: Structure data in a form that AI agents can use
Design permission management: Access control compliant with security policies
Employee training: Educate on effective AI agent utilization
Continuous improvement: Analyze usage and optimize agents

Summary: A New Era of Enterprise AI

Key Points

Agentspace integration: Integration into Gemini Enterprise as a core feature completed in October 2025
Gemini 2.5 Flash: High-speed answer generation, deepened multimodal understanding
Deep Research agent: Research work automation and report generation
Veo 3 Fast: Video generation within agents now possible
Expanded connectors: Native integration with Confluence, Jira, SharePoint, and ServiceNow
Proven results: NEC (information retrieval efficiency for 90,000 employees), Adastria (voice of customer utilization), Hakuhodo Technologies (advertising planning automation)

The 2026 Enterprise AI Market

Google's Gemini Enterprise has firmly established its position in the enterprise AI market by integrating Agentspace as a core function. A platform where AI agents can be discovered, created, shared, and executed in a single, secure environment is accelerating AI utilization at enterprises.

For Japanese companies, an environment is emerging where — by combining with a localized platform like ZEROCK — advanced AI agents can be utilized while remaining compliant with regulations.

What Companies Should Do Now

Identify use cases: Map out areas in your business processes where AI agents can be utilized
Pilot deployment: Trial deploy Gemini Enterprise with a small team
Data preparation: Structure data in a form that AI agents can use
Security assessment: Verify permission management and data retention policies
Training plan: Conduct AI agent utilization training for employees

AI agents are no longer in the experimental stage — they are a practical tool for dramatically improving enterprise operational efficiency. In 2026, the enterprise AI market has entered a new phase.