Google AgentspaceEnterprise AI platform unifying company data with intelligent agents for productivity

4.8 (5)

Reviewed by Daniel Nikulshyn·Updated July 2026

Enterprise AI Agents Enterprise Search No-Code Google Cloud Productivity Knowledge Management Workflow Automation

Overview

Google Agentspace is an enterprise AI platform that brings together Google's foundation models, enterprise search, and customizable AI agents in a single workspace. It connects to a company's internal data sources—documents, emails, databases, and third-party SaaS apps—allowing employees to find information and complete tasks through natural language. The platform lets organizations deploy prebuilt agents or design custom ones using a no-code agent builder, with grounding in proprietary data to reduce hallucinations. It is designed for knowledge workers who need to synthesize information, generate reports, and automate multi-step workflows across siloed business systems. Agentspace integrates with Google Cloud's security and governance controls, making it suitable for regulated industries that require auditable AI deployments at scale.

Key features

Enterprise search across siloed systems
Prebuilt and custom AI agents
Multimodal generation with Gemini
Connectors for major SaaS platforms
Role-based access and audit controls
No-code agent designer

Pricing

Model: Freemium
Category: AI Agents
Rating: 4.8 / 5 (5)

Use cases

Unified search across business systems

Help employees find answers across documents, emails, databases, and SaaS apps using natural language queries grounded in proprietary company data.

Custom agents for internal workflows

Build no-code AI agents tailored to team processes, automating multi-step tasks like onboarding, ticket triage, or procurement approvals across siloed systems.

Report synthesis for knowledge workers

Generate summaries, briefings, and reports by pulling and combining information from multiple internal sources with reduced hallucination risk.

Governed enterprise AI deployment

Roll out AI capabilities organization-wide with role-based access, audit controls, and security suitable for regulated enterprise environments.

Pros & Cons

Pros

Unified search across enterprise data sources
No-code agent builder for custom workflows
Strong grounding reduces hallucinations
Enterprise-grade security and governance
Backed by Google's Gemini models

Cons

Requires Google Cloud ecosystem commitment
Enterprise pricing may exclude smaller teams
Setup and data integration can be complex

Reviews

4.8

Average from 5 ratings.

Pierre Dubois

Feb 28, 2026

Solid for our team

We rolled this out across the team last quarter and enterprise-grade security and governance. No-code agent designer fits neatly into how we already work, and prebuilt and custom AI agents removed a step we used to do by hand. but it has held up under daily use.

Sofia Lindqvist

Jan 1, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is multimodal generation with Gemini — handled better than most — and backed by Google's Gemini models. Setup and data integration can be complex is my one real gripe. Worth the time if this is your use case.

Wei Chen

Dec 14, 2025

Solid for our team

We rolled this out across the team last quarter and enterprise-grade security and governance. Multimodal generation with Gemini fits neatly into how we already work, and connectors for major SaaS platforms removed a step we used to do by hand. but it has held up under daily use.

Elena Rossi

Aug 12, 2025

Solid for our team

We rolled this out across the team last quarter and no-code agent builder for custom workflows. Enterprise search across siloed systems fits neatly into how we already work, and role-based access and audit controls removed a step we used to do by hand. but it has held up under daily use.

Daniel Schmidt

Jun 13, 2025

Solid for our team

We rolled this out across the team last quarter and strong grounding reduces hallucinations. Role-based access and audit controls fits neatly into how we already work, and role-based access and audit controls removed a step we used to do by hand. but it has held up under daily use.

Q&A

What pricing model is used and is there a trial available?

Google Agentspace is sold via enterprise licensing with pricing based on usage and edition (Standard or Plus); a 30‑day free trial is offered, after which organizations contact sales for a tailored quote.

Asked by Grace Okafor · Nov 22, 2025

Can non‑technical users build custom AI agents, and what tools are provided?

Yes, the no‑code agent designer lets knowledge workers create custom, multi‑step workflows without programming, using prebuilt templates or building from scratch while still grounding the agents in company data.

Asked by Paloma Ruiz · Nov 16, 2025

How does the platform handle security and compliance for regulated industries?

It leverages Google Cloud’s security controls, offering role‑based access, audit logs, Model Armor for unsafe interaction screening, and in Standard/Plus editions adds VPC Service Controls, Customer‑Managed Encryption Keys, Access Transparency, data residency, and compliance certifications like HIPAA and FedRAMP High.

Asked by Marcus Bell · Nov 3, 2025

What data sources can Google Agentspace connect to for grounding its AI agents?

Agentspace can securely connect to internal data like documents, emails, databases, and major SaaS apps such as Microsoft 365 (OneDrive, SharePoint), Google Workspace, HubSpot, Jira, and other Google Cloud services, grounding AI output in that proprietary data.

Asked by Yelena Popova · Sep 19, 2025