# Who is it for

GLBNXT Workspace is built for organisations that want to put AI to work across their teams, without compromising on data sovereignty, security, or compliance. It is designed to be used by business professionals in their daily work, not just by developers or technical specialists.

The platform serves a broad range of roles within an enterprise organisation. Below is an overview of the primary audiences Workspace is designed for, and how each of them benefits.

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### Knowledge Workers and Business Professionals

The largest group of Workspace users are the people who work with information every day. Analysts, consultants, project managers, marketers, operations professionals, and anyone whose work involves reading, writing, researching, or synthesising information will find immediate value in Workspace.

Common use cases include drafting documents and communications, summarising lengthy reports, translating content across languages, extracting key points from meeting notes, and getting fast answers to complex questions grounded in internal documents. Workspace allows these users to work with AI in the same way they might use a public tool, but within an environment that keeps their organisation's data private and secure.

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### Legal, Compliance, and HR Teams

Teams that handle sensitive or regulated information have historically been the most cautious about adopting AI tools, and for good reason. Public AI tools offer no guarantees about how submitted data is processed, stored, or used.

Workspace changes this calculus. Legal teams can use it to review contracts, identify risk clauses, and draft correspondence without sending confidential information to external services. Compliance teams can query regulatory documents, check policy alignment, and generate audit-ready summaries. HR teams can process sensitive personnel documents, draft job descriptions and policies, and handle employee queries, all within a governed environment with a full audit trail.

For these teams, Workspace is not just a productivity tool. It is a compliant alternative to the informal use of public AI that is already happening within most organisations.

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### Business Leaders and Decision-Makers

Senior leaders and managers use Workspace to accelerate decision-making and improve the quality of their outputs. Whether preparing for board meetings, reviewing performance data, or drafting strategic documents, Workspace provides AI assistance that is fast, contextually aware, and grounded in the organisation's own information.

Business leaders also benefit from Workspace at an organisational level. Rather than allowing uncontrolled, ungoverned use of public AI tools across the organisation, Workspace provides a single governed environment where AI adoption can be monitored, managed, and scaled responsibly.

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### Teams in Regulated Industries

Workspace is particularly well-suited to organisations operating in industries where data handling is subject to regulatory oversight. This includes healthcare, financial services, legal, public sector, and education.

In these environments, the question is rarely whether AI can add value. It almost always can. The question is whether it can be adopted in a way that satisfies compliance obligations, protects sensitive data, and maintains the trust of clients, patients, or citizens. Workspace is designed to answer that question with a clear yes, providing AI capabilities that are sovereign, auditable, and operated entirely within EU jurisdiction.

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### IT Administrators and Platform Managers

While Workspace is built for business users, it also serves the IT administrators and platform managers responsible for deploying and governing it within the organisation.

Administrators have access to a full enterprise controls layer that allows them to manage user accounts and roles, configure SSO and enterprise authentication, set access policies at a team or individual level, monitor platform usage, and review audit logs. This gives IT teams the visibility and control they need to support Workspace across the organisation with confidence, without creating an ongoing operational burden.

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### What Workspace is Not Designed For

Workspace is optimised for knowledge work and business use cases. It is not a development environment for building custom AI infrastructure, training models, or deploying large-scale data pipelines. Organisations that need those capabilities, such as data science teams building custom agents or CTOs scaling AI development across hundreds of users, will find the right tools in GLBNXT Platform.

Workspace and Platform are complementary. Many organisations start with Workspace to get immediate value across their business teams, and extend into Platform as their AI ambitions grow.


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