Make AI safe enough to use.
Your team needs AI, but your business needs control.
Before AI touches customer data, internal records, financial information, legal documents, or operational decisions, the rules have to be clear. CarbonSilicon Labs defines and implements the permissions, data boundaries, review paths, and audit trails that let companies use AI without losing control.
The control layer for AI inside your business.
AI Governance & Security answers the questions every company needs resolved before AI becomes part of real operations.
Who can use it?
What can it access?
What should it never touch?
When does a person need to review the output?
What gets logged?
Who owns the data?
What happens when AI is wrong?
We turn those answers into practical rules, technical controls, and rollout requirements your team can actually follow.
Without rules, every team picks its own.
AI is already entering the business through employees, vendors, tools, workflows, and customer-facing systems. Without clear rules, every team makes its own judgment call. That creates risk: sensitive data goes into the wrong tool, AI outputs move without review, decisions become hard to trace, and leadership cannot see how AI is being used. The goal is not to slow AI down. The goal is to make it safe enough to use where it matters.
Six layers of control.
Each layer answers one question about how AI behaves once it is inside the systems that run your business.
Permissions
Who can access each AI system, workflow, tool, and data source.
Data boundaries
What AI can read, what it can write, and what stays restricted.
Human review
Where AI can assist, where it can act, and where a person must approve the result.
Audit trails
What gets logged, where records live, and how decisions can be reviewed later.
Workflow rules
How AI moves through documents, CRM, ERP, databases, approvals, and internal tools.
Security planning
How AI connects to vendors, accounts, infrastructure, and sensitive information without creating unnecessary exposure.
A foundation you can operate on.
A clear AI governance plan.
Defined access and permission rules.
A map of what AI can and cannot touch.
Review paths for sensitive outputs.
Logging and audit trail requirements.
Security requirements for AI workflows.
A production-readiness plan for the AI systems you want to deploy.
Where relevant, we align governance and security planning with AIUC-1 so control is designed in before production.
From risk map to production readiness.
Map the risk
We look at the systems, users, data, workflows, and decisions AI may touch.
Define the boundaries
We decide what AI can read, write, suggest, trigger, and escalate.
Set review paths
We define where human approval is required and what happens when AI is uncertain.
Implement controls
We create the access rules, logs, workflow requirements, and security structure.
Prepare the team
We document the rules clearly so people know how to use AI without creating risk.
From the product floor, not the outside.
CarbonSilicon Labs is run by AI product builders and operators. Our founding team has shipped AI products used by more than 350,000 people. We understand what changes when AI leaves the demo environment and starts touching real users, private data, business workflows, and decisions people rely on. We bring that experience to companies putting AI inside the systems that run their business.
Frequently asked questions.
Talk to usIt is AI that keeps a person in control of the decisions that matter. The system can assist or act on low-risk steps, but sensitive outcomes stop for a human to approve or override before anything happens.
Whenever a decision is hard to reverse, high-value, or governed by policy or law. We define these risk tiers up front so the AI knows exactly where it can act and where it has to stop and ask.
Only what each workflow genuinely needs. We set clear data boundaries — what the AI can read, what it can write, and what stays restricted — so capability never comes at the cost of unnecessary exposure.
We log what the AI read, decided, and did, store those records where they can be reviewed, and make every decision reproducible. That trail is built in from the start, so you can answer what happened and why at any time.
Through permissions, review paths, logging, and reversibility, aligned to AIUC-1. Agents act within scoped limits, stop for approval on sensitive steps, and anything they do can be paused or rolled back without breaking the business.
The real risks are unsafe actions, data exposure, and automation no one is accountable for. We mitigate them with scoped access, human review where it counts, audit trails, and controls to pause or reverse — so the leverage does not become a liability.