Know what’s in use.
See your team’s AI tools, including unapproved ones.
Roll out AI faster. Stay in full control.
Your team is already working with AI. Tracelet helps you see what’s happening, set clear boundaries, and keep good work moving.
Coding Agents
$ aws s3 rb s3://prod-backups --forceBLOCKEDDeletion of production backups prevented.$ rm -rf /var/www/prodBLOCKEDProduction files protected.$ cat ~/.aws/credentialsREDACTEDCredentials removed from the tool output.$ terraform destroy -auto-approveJUSTIFYA reason is required for this high-impact action.$ git push origin feature/auth-testsALLOWEDApproved work continues.5 commands checked2 blocked1 redacted1 justify1 allowed
Works with the tools your team already uses
Visual Studio Code
Visual Studio
GitHub Copilot
Antigravity
Kiro
Claude CodeClaude Cowork
Windsurf
Cursor
Devin
Codex
ChatGPTClaude
Perplexity
GrokMeet Tracelet.
Why we built Tracelet, and how it helps teams roll out AI with confidence.
AI can do more.
So can a mistake.
AI can read company files, change business records and take action in live systems. A wrong instruction can quickly become a real problem.
The answer is to give AI clear boundaries.
Protect sensitive information. Ask for approval on high-impact actions. Let approved work continue.
Read the real-world incidents ↗See the work. Set the boundaries. Stay in control.
Give your team room to work with AI. Keep a clear view of what happens.
Make the rules count.
Allow routine actions. Block risks. Ask for approval when needed.
Know what happened.
Keep a clear record of each action and decision.
“We built Tracelet because AI tools now act with the same access as the people using them without the visibility, guardrails, or accountability enterprises need.”
Built and operated by Insighture. Used in its own engineering environment, in everyday production work.
See Tracelet for engineering teams
Charith at Everest base camp. Room to explore, with the right boundaries.
Learn how your team works. Then set the boundaries.
Start by observing real AI usage. Agree where control is needed, then introduce rules your team can work with.
01
Connect. Your environment.
Run Tracelet in your cloud, roll out to your team’s devices, and connect your directory.
02
Observe. Room to learn.
Spend the first two weeks seeing real activity, without blocking actions.
03
Review. A shared picture.
Review what you’ve found together. Decide which actions need boundaries.
04
Refine. Thoughtful control.
Test and refine the first rules before switching them on.
Start by watching, not blocking.
Design partners work with us for three months, hands-on, in their own cloud.
Become a design partnerA few things you might be wondering.
Tracelet works with supported AI tools already in use. We’ll review your tools and workflows together before planning a rollout.
Coverage depends on the tool, operating system and action. The tool coverage table shows where controls apply.
Tracelet runs inside your own cloud environment. Your team’s activity records and rules stay within that environment.
Tracelet brings AI usage and spending into view, so leadership can review the investment alongside how teams use it.
A three-month, hands-on collaboration. We deploy Tracelet in your cloud, refine rules with your team, and use your feedback to help shape the product.
Give AI room to work. Keep your business in control.
Tell us about your team, the tools you use, and the work you want to protect.