Claude Enterprise implementation
Claude Enterprise is Anthropic's hosted company application: company sign-in, user management, audit logs, a Compliance API and a contractual exclusion of training on your data. We implement it for medium and large companies in about four weeks, connect it to your systems through MCP and set up the governance around it. One fact first: as of October 2026 Claude Enterprise has no EU data-residency option. Where your policy requires EU processing under your own account, we deploy the same Claude models on Amazon Bedrock in Frankfurt or Google Vertex AI in the EU instead, and this page says which is which.
Claude Enterprise, or Claude under your own cloud account
The table uses Anthropic's and the cloud providers' public pages, listed under Sources; the exact terms for your company are in your contract and we write them into the data-handling map before go-live.
| Question | Claude Enterprise | Claude on Bedrock or Vertex AI |
|---|---|---|
| Who hosts the model | Anthropic, under its enterprise terms | Your AWS or Google Cloud account, in the region you choose (Frankfurt, Ireland, Paris, EU regions) |
| Training on your data | Excluded by default under the enterprise terms | Not used for training by the cloud provider |
| Identity and admin | SSO, roles, audit logs, Compliance API, retention controls | Your identity provider in front of the assistant layer we deploy; audit in your log store |
| Time to first use | About four weeks: workspace, sign-in, first connectors, training | About six weeks: account, endpoints, assistant layer, connectors, training |
| Price | Seats quoted by Anthropic; not published | Model usage billed by your cloud account; no seat licence |
| Our default | Companies whose policy accepts vendor hosting and who want the finished app | Companies with an EU or own-account residency policy, or with agents over SAP |
What we set up
- Identity: sign-in through the Microsoft or Google accounts people already have, so an employee who leaves loses access automatically.
- Audit: every request recorded with user, time, content and cost, visible to IT and management on one screen.
- Data protection: personal data masked before it reaches the model, a data-processing agreement and, where required, a data protection impact assessment.
- Integration: connectors through MCP into SAP, ERP, CRM, Microsoft 365, databases and internal APIs, so the assistant answers from your data, not from the public internet.
- Policy: an internal AI policy your legal team will sign off, with EU AI Act classification of each use case.
How delivery runs
Assessment with leadership and IT, platform choice and first processes. Architecture of the AI layer with sign-in, audit and masking in your environment. Implementation of two to four processes with measurable impact. Enablement with role-based training on your team's real tasks. Operations with monthly oversight, evaluation and new automations.
Three things you get in writing
- A data-handling map: where prompts, files and logs are processed, how long they are retained and which subprocessors are involved, per component.
- An audit record you can inspect: source data, model and version, proposed action, who approved it and what changed.
- A documented exit: how agents are stopped, credentials revoked, configurations exported and processes returned to manual operation, agreed before go-live.
Questions we get asked
Do we need Claude Enterprise, or is a Team plan enough?
For companies that need company sign-in, central user management, audit and a contractual ban on training, Claude Enterprise is the plan built for that. Whether it is the right deployment at all depends on your EU residency requirement, which we settle in the assessment.
Can Claude read our SAP and CRM data?
Yes, through MCP connectors that we build and govern. The assistant inherits the permissions of the user who asks and never sees more than that person would.
How long does an implementation take?
Claude Enterprise itself starts in days. The first two to four production processes, with integration, training and governance, typically run in weeks, not months. The exact plan comes out of the assessment.
What if we later want to switch to another model or platform?
The AI layer belongs to you and is designed so the model and the platform can be swapped without touching the rest of the company. The documented exit describes how.
Talk to us.
A 30-minute conversation on your scenarios. The call and the written assessment you leave with are free, whether we work together or not. The next step, if there is one, is a fixed-price six-week pilot in your environment with no obligation to continue.
Or write to us directly: info@iteractive.ai · +421 905 452 325