Case studies · Enterprise

An organization gives its people one approved AI workspace

One approved AI workspace for the models people want, with documents redacted before AI search, a budget per team and a record of each call.

TowerAI ConsoleOne approved workspace
Team knowledgePolicy on

Who approves client dinners over the travel limit?

Client dinners above the limit in section 4 need approval from your team lead, [NAME_1], before booking. Receipts go to [EMAIL_1].

Travel policy 2026.pdfTeam handbook

Names redacted before indexing · Marketing budget 34% used
Illustrative product view. Sample data, not client data.

The problem

People pay for their own AI tools and paste internal documents into them, and the organization has no view of what is shared or what it costs.

  • Oneapproved place for AI across the organization
  • Redactedpersonal data before AI search
  • Per teambudgets with alerts

Before Raidu

  • Personal AI subscriptions everywhere
  • Internal documents pasted into chatbots
  • No view of cost or use

With Raidu

  • One workspace with the approved models
  • Documents redacted before indexing
  • Use and cost by team on the record

The challenge

Banning AI did not work: people simply used personal accounts. IT wanted to offer something better than the tools people were already paying for, with personal and internal data kept out of them.

How they set it up

The AI Console gives everyone one workspace with the models the organization approves. Teams add their documents for AI search, and Raidu redacts the personal data the organization’s policy covers before indexing. Each team has a budget with alerts. Each call goes on the record, so IT can answer questions about use without reading anyone’s chats.

What changes

People get the models they wanted, the organization knows what data went where, and the cost sits with the team that used it.

Rollout

  1. Step 1Workspace opened to a first group; approved models chosen
  2. Step 2Team documents added, redacted before indexing
  3. Step 3Opened more widely, with budgets per team

What they deployed

  • AI Console: one approved workspace with the models the organization allows
  • Knowledge with redaction: documents redacted before they are indexed for AI search
  • AI Spend: a budget per team, with alerts

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