Central permission model
Roles, groups and sharing per resource instead of separate permissions in every AI tool.
Learn moreWho it helps
IT leadership & CTO.
You're expected to roll out AI safely, at scale, and compliantly — without losing control. AIPE is the enterprise AI infrastructure IT leaders actually need.
What keeps IT leaders up at night
Shadow IT with AI tools is exploding
ChatGPT, Gemini, Copilot — everywhere, uncontrolled, with company data. IT is the last to know.
GDPR risk with external AI
Customer, production and HR data inside US-based AI services. The DPO is not amused.
Integration with legacy systems is unclear
ERP, CRM, DMS — all supposed to be connected to AI. But how? With whom? On what architecture?
No central roles and permissions concept
Who can use which AI capability with which data? Today, that question has no answer.
AIPE from an IT perspective
Organization-scoped RBAC
Granular RBAC controls who sees organization data and uses each AI capability.
Configurable providers and processing
Model providers are configurable. Selected providers receive relevant request data; deployment and data-processing requirements are reviewed per customer.
API-first integration architecture
AIPE plugs into your existing system landscape: ERP, CRM, DMS, SharePoint. No rip-and-replace.
For IT leaders and CTOs: an AI platform you can govern.
IT leaders are caught between two expectations: business units want to use AI right away, while data protection and management expect control. Without a central platform, the result is shadow IT, scattered subscriptions and data ending up in tools nobody has approved.
AIPE is built on organization-scoped permissions. Every resource – file, agent, skill, wiki page, chat – belongs to an organization and follows its roles and sharing. Models and providers are configurable, and your own keys can be stored. For integrations, there are connectors, an API for importing documents and knowledge, and MCP in both directions. The AIPE Worker reaches systems without an interface through an approved computer.
For the rollout this means: you clarify providers, roles and contracts once, centrally, and then give the business units a vetted framework. New use cases are built as agents, routines or skills inside that framework instead of as another tool with its own data store. That reduces review effort and gives IT its overview back.
Use cases
What AIPE solves for IT
Model choice and BYOK
Choose models freely and store provider keys at the organization or user level.
Learn moreAPI and MCP
Import documents and knowledge via API, connect AIPE via MCP and add your own MCP servers.
Learn moreWorker for legacy systems
Operate specialist applications without an API on an approved computer – with signed devices and approvals.
Learn moreCosts and usage
Analytics by person, cost center and function, monthly budgets with alerts.
Learn moreDesktop app with updates
Launcher via shortcut, native notifications and automatic updates for Mac and Windows.
Learn moreWorkflow
A new AI request from a business unit – before and after
- Step 1
Request
TodayA business unit wants yet another AI tool with its own subscription.
With AIPEThe need is implemented as an agent or routine on the existing platform.
- Step 2
Review
TodayData protection, contracts and providers are reviewed again for every tool.
With AIPEModel providers, roles and DPA are already settled; only the use case is assessed.
- Step 3
Integration
TodayCustom interfaces or manual uploads.
With AIPEConnector, API, MCP or Worker – depending on what the target system allows.
- Step 4
Operations
TodayNo overview of usage and costs.
With AIPEUsage and budgets in one report per cost center.
Data protection & control
Security built into the product
The Worker belongs to exactly one user in an organization, authenticates with its own device key and accepts remote tasks only after local enablement. Which providers receive request data is configurable; we review deployment and data processing for each customer.
- Tasks and approvals are bound to device, user and action.
- Terminal input such as passwords stays on the executing computer.
- Sign-in via email link or one-time code.
- Data processing agreement (DPA) online, subprocessors listed transparently.
Relevant connectors
Connectors cover widely used tools; Nextcloud is suited for self-hosted file storage.
See all connectorsIT governance with AIPE
RBAC
Organization-scoped AI and data access
RBAC
Organization-scoped access controls for every team
Weeks
To productive integration with existing systems
How much control do you have over AI use in your company?
Three questions about AI use, system landscape and size. Then you see where AIPE supports your IT first.
IT checkQuestion 1 of 3
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AI under control. From day one.
We'll walk you through AIPE's architecture, integration model and governance concepts in 30 minutes.