CORPORATE AI WORKSPACE SETUP

Corporate ChatGPT and AI Workspace Setup

Re:Brain() helps companies configure a corporate ChatGPT / AI workspace and turn chaotic AI use into a clear, governed practice for the team.

This is consulting, configuration, governance, and enablement — not software development for its own sake.

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CORPORATE AI WORKSPACE SETUP

What corporate AI workspace setup includes

Workspace setup

Company, project, and workspace structure; users, roles, access; and rules for team AI usage.

Supported connectors and integrations

Files, email, calendars, knowledge sources, CRM, or internal systems — depending on available integrations and the company systems’ technical capabilities.

Internal assistants and GPTs

Role-specific assistants with instructions, knowledge, workflows, templates, and clear boundaries.

Knowledge setup

Internal documents, policies, FAQs, structured materials, source hierarchy, and a process for keeping knowledge current.

Privacy and security rules

What may be uploaded to AI, what should not be uploaded, access rules, sensitive client information handling, and a review of available enterprise/workspace privacy settings.

Prompt and workflow templates

Recurring sales, marketing, management, analytics, HR, and support tasks in formats the team can use day to day.

Team training and enablement

Re:Brain() runs practical workshops and role-based onboarding using real company workflows. Teams receive more than tool access: they get working scenarios, usage guidelines, and a clear way to review AI output.

AI adoption and governance

  • AI usage rules and responsible process owners
  • a review and update process for assistants, knowledge bases, and templates
  • boundaries for what must remain human-controlled
  • scenarios where AI should not be used
  • a practical approach to errors, sources, and answer review

Who this is for

Companies already using ChatGPT chaotically

Teams sharing personal AI accounts or lacking shared rules

Managers who want controlled AI adoption

Businesses that need internal AI assistants and knowledge bases

Companies that need privacy and usage rules

Teams that want to reduce manual work without immediately building custom software

How Re:Brain() sets up an AI workspace

01

Understand the context

Review how the team uses ChatGPT and AI tools today, including roles, data, and risks.

02

Design the structure

Define workspace, projects, access, knowledge sources, assistants, and ownership rules.

03

Configure and test

Create instructions, templates, assistants, and workflows; test them on real tasks.

04

Train and support adoption

Run onboarding, provide guidelines, and define an ongoing review process.

Who provides the service

Re:Brain() is a boutique AI consulting and implementation practice founded by Olena Shramko / Олена Шрамко. Re:Brain() helps companies configure AI tools around real business processes, define safe usage rules, create internal assistants, and train teams. Technical specialists or contractors may support technical delivery when needed.

AI consultingOlena Shramko / Олена Шрамко
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Corporate AI workspace FAQ

It is the configuration of a shared AI workspace for a company: structure, users, access, assistants, knowledge sources, usage rules, templates, and team training.
That depends on available connectors, plan, APIs, and the company systems’ technical capabilities. Re:Brain() checks the realistic integration format instead of promising universal compatibility.
Yes. We can help design a role-specific assistant, including instructions, knowledge sources, templates, workflows, and answer-review rules.
Not necessarily. Workspace configuration, governance, and training can start with a consultation and working prototype. Technical involvement depends on systems, access, and required integrations.
Define what data is allowed in AI tools, what is prohibited, who has access, and how workspace settings are reviewed. Re:Brain() helps form these rules but does not provide legal or compliance guarantees.
Yes. The first stage can be workspace structure, assistants, knowledge, templates, usage rules, and training. Custom development is considered only when ready capabilities are insufficient.

How does your team currently use ChatGPT or AI?

Tell us what already works, where usage is chaotic, and which tasks the team wants to handle more safely and efficiently.

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