Design my policy
Clear policies, per-tool permissions, an audit of every action and human approval where it matters. AI works for your company — under your rules.
AI governance is the set of policies, permissions, controls and auditing processes that regulate how a company uses artificial intelligence: which tools are approved, what data they can touch, what actions an agent can take without human approval and how everything is logged for review. Without governance, AI gets in anyway — but through the back door: personal accounts, sensitive data in unapproved tools and decisions with no traceability. It is the natural complement to executive AI training AI Political Marketing AI Sports Marketing and the secure foundation of any agent-based automation project.
Clear, practical rules: what's allowed, what isn't, with which data and in which tools.
What each agent or tool can read, write and execute — with least privilege.
A log of agent actions and tool usage, ready for internal or external review.
Designing the points where a person approves before execution: payments, shipments, sensitive decisions.
Data classification, anonymization where it applies and tool selection based on how they handle data.
A process to evaluate new tools and training the team on the policy.
Practical guidelines per team and a catalog of approved tools, without slowing productivity.
Agents with defined permissions, spending limits and human approval on critical actions.
Handling of sensitive data, a record of decisions and evidence for audits.
A checklist to decide whether an AI tool gets in or not, based on data, cost and risk.
We map the real use of AI in your company (including what no one reports).
We classify data and risks, and define the policy and the permissions model.
We implement controls: access, logs, approvals and approved tools.
We test the critical flows and simulate incidents.
We review quarterly: new tools, new risks, adjustments.
What leadership, legal and IT ask about the safe use of AI.
Design your internal AI policyBecause your team already uses it — internal surveys usually reveal that more than half use personal AI for work. Starting with clear rules costs little; cleaning up the chaos after an incident costs a lot.
The opposite: the main blocker is fear ("can I use this?", "will I get in trouble?"). A clear policy with approved tools frees people to use AI with confidence.
It means designing the exact points where a person reviews or approves before the AI acts: a payment, a mass email, a decision about a customer. The AI prepares; the human authorizes wherever a mistake would be costly.
With data classification (what is sensitive and what isn't), least-privilege permissions per tool via MCP or APIs, anonymization where it applies and selecting providers with clear commitments not to train on your data.
No. A 20-person SMB using ChatGPT without rules has the same kind of risk, at its scale. A policy for an SMB fits in a few pages and is implemented in weeks.
Book the diagnosis: we map your current AI use and deliver the policy and the control plan.