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GUIDE

Roll out AI to your team responsibly

6 min read · Updated Sep 29, 2026

Give every employee powerful AI while keeping security, visibility, and costs under control.

Your team is going to use AI. The question is whether it happens with visibility and control, or without it. This guide covers the essentials of giving every employee powerful AI while keeping security, visibility, and costs under control.

Why an AI rollout needs oversight

Teams adopt AI tools either way. When each person picks their own tool, company information ends up in places you cannot see and costs you cannot predict. Giving your team one secure place to work with AI, with the right controls in place, makes adoption safe instead of risky.

Choose approved models

Cohrt gives you access to 350+ AI models from leading providers, including OpenAI, Anthropic, Google, Meta, and Mistral AI. You choose the approved models your team can use, so AI usage stays within the options your business trusts. You can try new models or switch later without changing how your team works.

Protect sensitive data

Switch on scanning that detects personal and payment information in chat messages, file uploads, and connected data, then blocks or masks it. Integration credentials are sealed with AES-256-GCM envelope encryption and encryption keys rotate automatically every night. Every account's data is kept isolated from every other account's.

See the security page for the full picture.

Give managers visibility

Oversight works best when it is built in. Cohrt gives managers visibility into usage and insights, so you can see how AI is being used across teams and spot what is working.

Keep costs predictable

AI costs are easy to lose track of when every team buys its own tools. Cohrt lets you track usage and spend in one place, and plans include per-seat token allowances. Visit pricing for current plan details.

Write a simple AI use policy

A short, clear policy helps everyone use AI with confidence. Keep it to a page and cover four things:

  • Approved tools: which AI tools and models your team should use.
  • Data that must never be shared: for example, client secrets, payment details, or personal information.
  • When a human reviews output: decisions or documents that always need a person's sign-off.
  • Who to ask: the person or team to contact with questions.

Measure what is working

Pick a few simple measures before you start, such as time saved on routine questions, how many people use AI each week, and the answers your team relies on most. Review them after the first month, share the wins, and adjust your approach where it is not landing.

GET STARTED

Ready to put AI to work?

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