Governance and operating rules
We define the methodologies, policies and rules for using AI agents across the company — including control points, validations and a decision trail, aligned with AI governance good practices.
The problem we solve
Without clear rules, every employee uses AI as they see fit: sensitive data ends up where it shouldn't, and decisions made with AI can't be explained afterwards.
When a problem appears, nobody can reconstruct who decided what and on what basis. Without a decision trail, AI adoption is not defensible — internally or in front of an auditor.
What we deliver
- Company-wide AI usage policy
- Operating rules per process: what the agent decides alone and what it escalates
- Control points and human validations in the workflows
- Decision trail: logging and traceability
- Alignment with AI governance good practices (ISO/IEC 42001, AI Act)
How we work
Assessment
We analyze how AI is used in the company today and where the real risks are.
Defining the rules
We write the policy and the per-process operating rules together with the people who will apply them.
Integration into workflows
We put the control points and validations directly into the workflows, not into a forgotten document.
Training
We train the teams on the rules, so applying them feels natural, not bureaucratic.
Why it matters
Clear operating rules are the third link in the thread: without them, neither good data nor good agents produce defensible results. Governance is what turns a promising pilot into a way of operating.
Let's map the process you want to automate.
We start with your process, documents and data. From there we define the strategy, the rules and the implementation steps.
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