AI governance: agents with permissions, approval, audit and a cost limit
Teams already use AI on their own, pasting customer data into tools with no contract. Leadership wants to move forward, but legal and IT do not know how to control it. Nobody knows how much is being spent or what the AI is doing with company data.
AI governance with AI, step by step
Policy and committee
iTeam helps write the AI usage policy and set up the committee with IT, legal and the business, defining what is allowed, what is not and who decides.
An agent with a job and permissions
Each agent has a defined role and access only to the systems and data it needs, like an employee with an access profile.
Human approval and audit
Sensitive actions require a person's approval, and every action by every agent is kept in an audit trail you can search.
Cost under control
Each agent has a cost cap. Pulse tracks consumption by department and warns before any limit is reached.
Less repetitive work. More control.
- AI used with clear rules
- Company data kept out of tools with no contract
- Every AI action traceable
- AI spend that is predictable by department
Systems used in this solution
Ready-made AI teams for this work
Management reporting team
Revenue, margin, pipeline and cash in one report, built from your systems, with a short note on what changed and why.
Data analysis team
Ask which customers stopped buying or which region lost margin. The team writes the SQL, runs it and explains the result.
Contract review team
Every contract is read against your standard terms, risky clauses are marked with the reason, and your lawyer decides.
IT service desk team
Password resets, access requests and how-to questions handled in chat, with Jira updated and approvals in place.
Questions about ai governance with AI
How does AI fit with data protection law such as GDPR?
With a defined legal basis, data minimization, access control, a record of operations and proper contracts with vendors. iTeam helps structure this with your legal team.
Is company data used to train third-party models?
No. The data is used only to run your company's tasks, under the contract and the settings defined with your IT.
Does it integrate with our corporate login?
Yes. People can sign in with Azure AD, Okta or Google Workspace, under the same security rules as the rest of the company.
Who is accountable when an agent gets it wrong?
Governance names an owner for each agent. The audit trail shows what happened, and human approvals reduce risk on sensitive actions.
