Uncontrolled AI tools
- Company documents can leave approved systems.
- Access and retention rules may be unclear.
- Security teams lack a consistent audit trail.
Private business AI · by Evolvice
Private AI Workspace
Use AI with your company knowledge, in a private environment. Connect Microsoft 365, control access and choose where your data is processed — managed by Evolvice.
- Single-tenant environment
- Microsoft Entra ID
- Managed by Evolvice
Private AI WorkspaceIllustrative demo
What should I check before sharing a project document?
Check its classification, approved recipients and access permissions. Review the original policy before sharing.
Example source: Document-sharing policy
Example content · source-linked answers · role-based access
From shadow AI to controlled adoption
Company knowledge. Clear boundaries.
A private workspace
- A dedicated environment for your organisation.
- Knowledge spaces scoped to user roles.
- Audit logs, redaction, retention and DLP controls.
See how it works
Four layers, one workspace.
- 01
Connect knowledge
- Bring approved documents and Microsoft 365 knowledge into team spaces.
- Agree connectors, source refresh and custom integrations before deployment.
- 02
Control access
- Use Microsoft Entra ID, SCIM and role-based permissions.
- Retrieval respects the sources each user may access.
- 03
Ask with sources
- Search, summarise and compare approved company knowledge with source-linked answers.
- Review outputs for accuracy; citations are not a guarantee.
- 04
Operate with Evolvice
- Define hosting, monitoring, updates and model choices.
- Support hours, escalation and responsibility boundaries follow the agreed scope.
Workspace walkthrough
See the workspace in action.
Hosting & deployment
Choose where your AI runs.
Match the deployment to your data-location, security and operational requirements.
Germany / EU
German or EU hosting. Assess data flows, privacy requirements and applicable data-centre assurance evidence.
Saudi Arabia
KSA hosting. Assess applicable NCA and SDAIA requirements for your use case; location alone does not establish compliance.
Your private cloud
A dedicated environment in your Azure, AWS or GCP setup. Agree tenant isolation, ownership and optional customer-held keys.
Confirm the region, model providers, retention rules, setup and usage costs before choosing a deployment.
What should you clarify before adopting private AI?
What is a private AI workspace?
A private AI workspace is a controlled environment for employees to use AI with approved company knowledge. Evaluate it by access boundaries, data processing, model providers and operational responsibility — not the word “private” alone.
Does private AI automatically make us compliant?
No. A technical environment does not replace AI policies, legal assessment, staff training or risk ownership. Map each use case and data category to your obligations, then verify the controls in the proposed deployment with your security and compliance teams.
What should we verify before connecting company documents?
Confirm which connectors are included, how permissions and deletions are synchronised, where prompts and documents are processed, whether external model providers receive data, and how logs and retention are configured. Test with separate user roles before expanding access.
How should we evaluate an initial AI use case?
Choose a bounded workflow and approved documents. Define representative questions, check answers against the original sources, test access restrictions and agree who reviews outputs. Compare quality and time spent against the current workflow; do not assume a savings percentage.
Private AI is technical. Governance is wider.
The workspace implements access, data and logging decisions. It does not replace policies, risk assessment or a compliance programme.
Private business AI · by Evolvice
Start with one real use case.
Discuss your documents, access requirements and hosting needs with the Evolvice team.
Book a demo