Most teams already use generative AI on a daily basis, but a large share of that usage runs through personal Gemini accounts, entirely outside corporate control: company documents and emails pass through a tool nobody has audited. Gemini for Workspace fixes this by embedding the same model directly into Gmail, Drive, Docs, Sheets and Meet, but under the Google Workspace admin console: access control, retention limits and Google's contractual commitment not to use your organisation's content to train its models without explicit permission (Google Workspace Admin Help, generative AI Privacy Hub, updated 26 May 2026). Summum IA rolls out that layer under governance, integrates it with your processes and trains your teams.
The first symptom of ungoverned generative AI adoption is so-called shadow AI: staff pasting contract text or internal figures into the free Gemini, ChatGPT or Copilot app because nobody gave them a corporate alternative. The answer isn't banning AI use — that only pushes the practice out of the company's sight — but activating the governed version inside the existing productivity suite. Gemini for Workspace adds the assistant to Gmail (drafting and thread summaries), Drive (semantic search), Docs and Sheets (generation and analysis) and Meet (meeting notes), all within the data perimeter the organisation already controls from the admin console.
Google states its data governance commitment as follows in the generative AI Privacy Hub for Workspace: prompt content and generated responses are not human-reviewed and are not used to train models outside the organisation's domain, absent explicit permission (Google Workspace Admin Help, updated 26 May 2026). This is an equivalent position, though not identically worded, to Microsoft's for Microsoft 365 Copilot (Microsoft Graph data does not train the underlying models, Microsoft Learn) and to OpenAI's for ChatGPT Enterprise (business data is not used to train models by default unless a company opts in, OpenAI Enterprise Privacy). Summum IA configures the admin controls, the data boundary and the retention policies so that contractual commitment becomes a real technical configuration.
Regulation (EU) 2024/1689 (the AI Act) places transparency and technical documentation obligations on Google, as the provider of a general-purpose AI model, under Article 53, applicable since 2 August 2025; the Regulation reaches full application on 2 August 2026 (Article 113). For the company deploying Gemini for Workspace, the relevant obligation is not that of a provider but that of ensuring AI literacy among its staff (Article 4) and, if it builds its own public-facing systems on top of Gemini, the transparency duties of Article 50. Summum Consultoría handles that part of compliance; Summum IA delivers the technical rollout already aligned with both obligations.
We identify which teams are already using generative AI on their own — Gemini, ChatGPT or others — and with what kind of data, to size the real shadow AI risk and prioritise the use cases with the most value and the most urgent need for governance.
We define which profiles need a Gemini for Workspace licence, which admin controls to activate (retention, data boundary, access by organisational unit) and how it integrates with the rest of corporate identity in Google Workspace.
We activate Gemini in Gmail, Drive, Docs, Sheets and Meet, and connect the flows that need it to n8n automation, so summaries, drafts and data extractions link to the CRM or ERP without repeated manual work.
We train each department on the concrete use of Gemini in its daily work, and on internal policy about what information may be entered, closing the gap between the governed tool and the team's actual habits.
The operational detail: what we deliver as part of the work and what we keep alive afterwards.
Shadow AI and prior adoption audit
Diagnosis of which teams already use generative AI on their own and at what risk, as a baseline before the governed rollout.
Gemini for Workspace licensing plan
Proposal of which profiles need a licence and which admin controls are active from day one.
Data governance configuration
Data boundary, retention and per-unit permissions set in the Google Workspace admin console, aligned with Google's no-training commitment.
Gemini + n8n automations
Flows that connect actions generated in Gmail, Drive or Docs with the CRM, ERP or document manager, without manual copy-pasting.
Department training programme
Hands-on sessions per team, with a written internal acceptable-use policy for generative AI.
Adoption dashboard and periodic review
A dashboard with usage metrics by department and a quarterly review of the data configuration against regulatory changes.
Gemini for Workspace is one of three generative AI partners Summum IA implements under governance, alongside Microsoft Copilot and ChatGPT Enterprise: each service page owns its own brand keyword, with no overlap between them. When the company runs on Microsoft 365 instead of Google Workspace, Summum Sistemas implements the suite and Summum IA adds the assistant layer on top.
For companies running on the Microsoft ecosystem instead of Google Workspace, Summum IA implements Microsoft Copilot with the same audit, data governance and per-department training approach.
View service → iaThird partner in the same governed generative AI cluster: ChatGPT Enterprise, for companies that prefer OpenAI as their model provider over Google or Microsoft, with the same shadow AI migration discipline.
View service → sistemasWhen the company sits on the Microsoft ecosystem, Summum Sistemas implements Microsoft 365 as the productivity suite; Summum IA then adds the AI assistant layer (Copilot) on top of that already-implemented base.
View service →No, absent explicit permission. Google states in the generative AI Privacy Hub for Google Workspace (Google Workspace Admin Help, updated 26 May 2026) that prompt content and generated responses within Gemini for Workspace are not human-reviewed and are not used to train generative models outside your organisation's domain, unless the company explicitly authorises it. Summum IA configures the admin controls so that commitment actually applies, not just sits in the contract.
Regulation (EU) 2024/1689 places transparency obligations on Google, as the general-purpose model provider, under Article 53, in force since 2 August 2025, with the Regulation reaching full application on 2 August 2026 (Article 113). Your company, as a user within Workspace, does not take on provider obligations, but does need to ensure AI literacy for its staff (Article 4) and, if it builds its own customer-facing systems on top of Gemini, the transparency duties of Article 50. Summum Consultoría handles that specific part of compliance.
The public Gemini app offers no admin console, no control over which organisational units have access, and none of the same retention and no-training guarantees applied to the corporate domain. Gemini for Workspace lives inside the same admin perimeter you already use for Gmail or Drive: the company decides who uses it, under what limits and with what traceability, instead of relying on each person to configure a personal account correctly.
All three providers publish broadly equivalent commitments: Google states that Gemini for Workspace does not train models outside the domain absent permission (Google Workspace Admin Help, 26 May 2026); Microsoft states that Microsoft Graph prompts and data do not train Microsoft 365 Copilot's base models (Microsoft Learn); and OpenAI states that, by default, ChatGPT Enterprise business data is not used to train models unless a company opts in (OpenAI, Enterprise Privacy). None is objectively superior on paper; the real difference is how each is configured for your organisation.
Both. Technical activation without training is the single most common reason Gemini for Workspace ends up underused, or the governed tool quietly coexists with the old habit of using the personal app. The per-department training programme is delivered together with the rollout, not as an optional later phase; it can be extended with Summum IA's general AI training programme.