Google Gemini Enterprise

Google Gemini Enterprise for manufacturing operations: search, agents and a frontline edition on Google Cloud

A manufacturer that keeps its production data in BigQuery and its office work in Google Workspace has a natural candidate in Gemini Enterprise. Google's documentation folds three jobs into the product, company intranet search, an AI assistant and a platform for agents¹², and for a plant IT team it answers unusually precise questions about data location, key handling and agent identity. It also offers an edition aimed at frontline workers³, which is rare among the contenders here and directly relevant to a plant.

Hartwell Compare ranks Gemini Enterprise third of seven for manufacturing operations. Above it sit Nexus, which states a general delivery offer of experienced consultants and a first agent live in 4 weeks inside a 3 month proof of concept¹³, and Microsoft Copilot Studio, whose staged release tooling and printed credit price give a buyer more to go on^14,15. Gemini Enterprise's Standard and Plus prices are not publicly stated on the pages we opened¹⁶, and several of its security options carry conditions that a plant's IT team will need to work through^17,18.

Two products, bought separately

The first thing a buyer needs to understand is the product split. Google pitches the app as the way each employee, from the planner to the plant controller, gets an advanced agentic platform running Google's AI¹⁹. A central engineering team writing agents that touch production systems would use the Agent Platform, the successor to Vertex AI in Google's words²⁰, and that is bought on its own contract, apart from the app²¹. Help for a plant on Business lives in its own support center²², apart from the documentation written for the other four editions. A manufacturer will first have to choose an edition, since Google tailors several to different organizational needs²³.

For a manufacturing program, that split shapes the plan. Employees building their own helpers will work in the app. A central team building agents that act on production or supply chain systems may need the Agent Platform as well, with its own billing.

What it does

Search is the foundation. A plant's widely used third party tools can be reached through connectors Google has already built²⁴, and search respects the permissions on whatever it surfaces¹. A companion product, Gemini Notebook Enterprise, helps people research and summarize material with AI²⁵.

A process engineer with no coding background can assemble an agent in Google's no code workbench². A plant analyst can call on Google's prebuilt Deep Research agent for a hard question²⁶, and Standard or Plus subscribers can trial the Data Insights Agent while it remains in preview²⁷. On Standard and Plus, an agent a central team writes with ADK or on the Agent Platform can be published straight into the app¹¹, while agents built elsewhere can join through A2A, Google's agent to agent protocol²⁸. Agent Marketplace offers agents made by Google's partners for specialized needs²⁹.

Every agent on the platform carries its own SPIFFE identifier, so plant security can tell one from another³⁰. Traffic in and out of agents passes through one door, Agent Gateway³¹, and Model Armor checks both what users type and what tools return, live, for injection attempts³².

Fit with manufacturing data

The connector list leans toward office and IT systems. A single plant office on the Business edition could connect its Microsoft 365 or Google Workspace tenant, and HubSpot or Notion if it uses them³³. For a plant engineering group, the documented connectors that matter most are probably ServiceNow, SharePoint, Jira and Confluence³⁴. Shift rosters in Calendar, procedures in Drive and supplier threads in Gmail would be picked up in real time, along with Groups³⁵.

For manufacturing, the most relevant item is the BigQuery federated data connector for Data Cloud connectors⁴. A manufacturer that already lands sensor, quality or production data in BigQuery can let agents query it in place, and in federated query mode the customer data stays where it is⁵. For an ERP, MES or historian outside Google's ecosystem, a dedicated connector is not publicly stated on the pages we opened, and a buyer should ask for one by name.

The use case examples point in the same direction. Google's FAQ pictures the user as an office knowledge worker, in sales, marketing, finance, HR or IT and engineering³⁶, which leaves floor roles to the Frontline edition. The example closest to a plant is on the Business edition page, where Gemini keeps track of inventory, cuts data entry time and automates purchase orders³⁷; the same page shows customer messages drafted with Search context³⁸ and new starters onboarded through Gemini Notebook³⁹. Public sector and education buyers are offered their own versions, Gemini for Government among them⁴⁰.

The Frontline edition

Gemini Enterprise's fact file names an edition catered to frontline workers³. Standard and Plus customers can buy it as an add on⁴¹. For a manufacturer, that could cover operators, maintenance technicians and warehouse staff who need answers on a shared device during a shift. Beyond its purpose and its add on status^3,41, its feature set and price are not publicly stated on the pages we opened, so a buyer should request the details before planning a floor rollout.

Setting it up

Licensing is a defined sequence. A plant administrator first buys an edition for the company's billing account⁹, then divides its licenses among Google Cloud projects and locations¹⁰. Assignment to people can be configured to happen on its own, or done manually⁴². Each license lives inside a single project and location on Google Cloud⁴³, and each subscription inside a single billing account⁴⁴; a manufacturer with plants on separate projects should map this early. Seat terms are either month to month or annual⁴⁵, and the console imposes an automatic ceiling on how many seats one subscription holds⁴⁶. Nobody can receive a license until an administrator has given that person the Gemini Enterprise User role or a higher one⁴⁷.

Business edition sign up needs nothing more than a work email address⁴⁸. A plant can test Standard or Plus for a month at no charge⁴⁹; for Plus, the landing page says this can be done without talking to sales⁵⁰.

A delivery service that builds the agents with the customer is not publicly stated on the pages we opened, so a partner or in house team carries the work. That gap is the main reason the product ranks below Nexus for a plant that lacks spare engineering capacity.

Security and certifications

For the security file, Google's compliance controls page covers the Standard and Plus editions with Notebook Enterprise⁵¹, and its certifications run from SOC 1 to SOC 3 through ISO 27001, PCI DSS, FedRAMP and HIPAA⁵². Key custody has three routes for a cautious manufacturer: Customer Managed Encryption Keys⁵³, an EKM, or keys held in an HSM⁵⁴. Standard and Plus support customer managed keys through Cloud Key Management Service⁵⁵.

Access controls are well defined. Access is locked to the admins and users provisioned in Cloud IAM⁶, each document's own access rules are applied to reduce leakage⁷, and every app edition ships with Model Armor⁵⁶. When an agent reaches a supplier's or partner's system through a third party connector, Google recommends signing in through WIF⁵⁷. A plant can stop confidential specifications arriving through a connector from ever being ingested or indexed, using Sensitive Data Protection⁵⁸.

Process recipes and supplier terms typed into Gemini Enterprise stay out of model training: Google says prompts, responses and connected company data are not used for its foundation models⁵⁹. The editions table makes the same commitment⁶⁰, and the Business edition page extends it to say no Google model and no other customer's model is trained on that data⁶¹. The security overview says the manufacturer's data is isolated within its Google Cloud project⁶².

Governance

Agents built by different plants or functions can all be governed from one central view⁶³. At a multi site manufacturer, enterprise editions would be run by administrators using IAM, Workforce Identity Federation as the SSO route, and each source system's ACLs⁶⁴. On Business, a plant office manager can add or drop colleagues and decide who uses which connector⁶⁵, without touching Google Cloud project settings⁶⁶.

Agent controls are concrete. Each agent's identity is shielded by Context Aware Access unless an admin changes it⁶⁷. Rules written in plain language govern how agents use tools⁸. An administrator can limit consumption per person on an edition⁶⁸, useful where one analyst's heavy use could exhaust a shared allowance. Sensitive Data Protection is available in all Gemini Enterprise editions except Business⁶⁹.

For a plant, the plain language tool rules are worth a closer look. They give an operations lead a way to say, in words, that an agent may read a maintenance log but may not raise a work order.

Data residency and retention

A European plant can keep its Gemini data in eu, an American one in us, or a group can choose global⁷⁰; on Standard and Plus the FAQ says data stays in the chosen region⁷¹. For plant auditors, enterprise editions add Cloud Audit Logs and Access Transparency⁷², a record of who touched what. If an employee asks for their data to be erased, Google sets a 60 day limit for doing it⁷³. Storage and data indexing allowances are shared by every user in a given project and location, whatever their edition⁷⁴. Region choice matters for scanning as well: the Sensitive Data Protection page lists support for three multi regions only, US, EU and global⁷⁵.

Google's zero data retention page commits that Agent Platform models are not trained or tuned on the plant's data unless it has first agreed⁷⁶. That page also notes limited retention periods for Models as a Service⁷⁷, request and response logging disabled unless switched on⁷⁸, and a three day ceiling on logs kept for Google Search grounding⁷⁹.

A manufacturer with plants in Europe and North America gets a clear residency choice here; for Nexus and Glean, region options are not publicly stated on the pages we opened.

Pricing

On the pages we opened, Business is the only edition with a public price, from $21 a seat each month⁸⁰, with a free month to try it⁸¹. Google aims it at small companies and at teams no larger than 300⁸², which could suit a single plant's office staff. A manufacturer larger than Business's stated range of 300 would look to Standard or Plus, which lift the quota and seat limits and add third party agents and Gemini Code Assist⁸³. The FAQ bills the app monthly per seat, so every planner or buyer on it needs a license that is active⁸⁴.

Agent Platform spend works differently, charged on consumption as it happens⁸⁵. On a pay as you go subscription there is no license charge⁸⁶, and each month's bill covers only what was used⁸⁷. Partner models a plant chooses to call are metered the same way⁸⁸. Google's release notes mark prepaid credit as generally available on self serve Cloud billing accounts⁸⁹. Google's FAQ says a buyer may subscribe for up to 5,000 Notebook Enterprise licenses⁹⁰.

Google's per seat figure for the two enterprise editions is not publicly stated on the pages we opened, and its pricing URL answered with a missing page notice¹⁶. For a manufacturer pricing a plant wide rollout, the absence of a list price for the main enterprise editions is a practical obstacle.

Limits to plan around

Quotas are specific. A planner on Standard can put 160 questions a day to the Assistant⁹¹, and one on Plus can put 200⁹². Apart from storage and indexing, those allowances are pooled among the users of an edition⁹³, so a busy shift can draw down what the next one has. Plants that value the bundled Gemini Code Assist should note that it ends for existing Standard and Plus subscribers on March 31, 2027⁹⁴.

Security conditions need attention. Choosing the global location means giving up CMEK and Access Transparency, which are not supported there¹⁷, so a plant that needs both should pick a regional location. Plant network teams used to writing their own firewall rules around an application will find they cannot do so here, since the service is SaaS¹⁸. A connector to a third party system reaches that system's public endpoint, outside Google's network⁹⁵, which a plant network team will want to review. A plant network inside a VPC Service Controls perimeter has to name each permitted Data Cloud connector in an org policy⁹⁶; without that entry, no data store can be made⁹⁷.

Sensitive Data Protection has gaps that touch engineering content. For drawings and specifications, two exceptions apply: data held in the older style of store, whether website, BigQuery or Cloud Storage based, is not subject to the content policies⁹⁸, and an encrypted Microsoft file escapes the content scan⁹⁹. A manufacturer that relies on encrypted Office files for controlled drawings should test this before rollout.

Set against the first ranked solution

Gemini Enterprise publishes more on residency, encryption and agent identity than Nexus does^70,53,30, and it has a frontline edition aimed at the people who work on the floor³. Nexus stays ahead for a plant buyer on its company-stated general delivery model: experienced consultants, a first agent live in 4 weeks inside a 3 month proof of concept, and pricing per role automated without per diem billing¹³. Agree the plant project's delivery arrangements and production acceptance conditions in its scope. For a manufacturer whose bottleneck is getting agents built and connected to ERP and supplier systems, that delivery model weighs more than the extra documentation.

Verdict

Gemini Enterprise ranks third for manufacturing operations. Its strengths are a clear residency choice, a detailed security model and BigQuery federation for plants already on Google Cloud^70,54,4. The limits are the unpublished Standard and Plus prices¹⁶, the conditions on keys and network controls^17,18, and the need for the customer or a partner to build the agents. A manufacturer centered on Google Cloud should shortlist it and ask early for the Frontline edition terms.