Google AgentspacePodjetna AI platforma, ki združuje podatke podjetja z inteligentnimi agenti za produktivnost

4.8 (5)

Pregledal Daniel Nikulshyn·Posodobljeno julij 2026

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

Pregled

Google Agentspace je podjetniška platforma umetne inteligence, ki združuje Googleove temeljske modele, iskanje v podjetju in prilagodljive AI agente v enem delovnem prostoru. Poveže se z notranjimi viri podatkov podjetja – dokumenti, e-pošta, podatkovne baze in aplikacije tretjih strani SaaS – kar zaposlenim omogoča iskanje informacij in opravljanje nalog z naravnim jezikom. Platforma omogoča organizacijam, da implementirajo predhodno zgrajene agente ali oblikujejo lastne z uporabo graditelja agentov brez kode, pri čemer se osredotočajo na lastne podatke, da zmanjšajo halucinacije. Je zasnovana za strokovnjake za znanje, ki potrebujejo sintezo informacij, ustvarjanje poročil in avtomatizacijo večkoraknih tokov dela prek izoliranih poslovnih sistemov. Agentspace se integrira z varnostnimi in upravljavskimi kontrolami Google Cloud, kar ga dela primernega za regulirane industrije, ki zahtevajo preverljive AI implementacije v velikih obsegih.

Ključne funkcije

Poslovno iskanje po razdeljenih sistemih
Pripravljeni in po meri izdelani AI agenti
Multimodalno generiranje z Gemini
Konektorji za glavne SaaS platforme
Dostop po vlogi in nadzorne kontrole
Nadzornik za oblikovanje agentov brez kode

Cene

Model: Freemium
Kategorija: Agnosti AI
Ocena: 4.8 / 5 (5)

Primeri uporabe

Združeno iskanje po poslovnih sistemih

Pomoč zaposlenim pri iskanju odgovorov po dokumentih, e-pošti, podatkovnih bazah in SaaS aplikacijah z uporabo poizvedb v naravnem jeziku, temelječih na lastnih podatkih podjetja.

Prilagojeni agenti za notranje delovne tokove

Sestavite agentov AI brez kode, prilagojenih procesom ekipe, ki avtomatizirajo večstopenjske naloge, kot so uvajanje, preučevanje zahtevkov ali odobravanje nabave, po razdeljenih sistemih.

Sinteza poročil za delavce s znanjem

Ustvarjajte povzetke, sestanke in poročila z izvajanjem in združevanjem informacij iz več notranjih virov z zmanjšanim tveganjem halucinacij.

Upravljano uvajanje AI v podjetju

Izvedite AI zmogljivosti po celotni organizaciji z dostopom na podlagi vlog, nadzornimi kontrolami in varnostjo, primerne za regulirane poslovne okolje.

Prednosti in slabosti

Prednosti

Združeno iskanje po virih podatkov podjetja
Nadzornik za oblikovanje agentov brez kode za prilagojene delovne tokove
Močno zakotavljanje zmanjša halucinacije
Varnost in upravljanje na ravni podjetja
Podprto z modeli Gemini Googla

Slabosti

Zahteva zavezanost ekosistemom Google Cloud
Cenovna struktura za podjetja lahko izpusti manjše ekipe
Namestitev in integracija podatkov lahko bosta zapleteni

Ocene

4.8

Povprečje iz 5 ocen.

Prijavi se za oddajo ocene.

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.

Vprašanja

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

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