Corporate AI Audit
AI has already entered your organization — even if no one formally approved it. This course gives you the method to map real usage, detect exposure, and recover control without stalling the productivity that already depends on these tools.
AI has already entered your organization.
The problem is that no one approved it.
Teams use AI assistants to summarize meetings, draft reports, analyze contracts, and prepare presentations. Some connected copilots to their corporate accounts. Others use free versions from personal email. The organization believes it does not use AI. In reality, it uses it every day — without policy, without visibility, and without control. That is not a hypothesis: it is what Yaripo finds in every corporate diagnostic engagement.
The risk is not technological. It is a governance failure. Internal data leaving the organization, flawed instructions affecting decisions, operational biases no one detects, regulatory exposure under GDPR and privacy-by-design obligations — all coexisting with a false sense of security that "we don't use AI." The potential damage does not wait for the organization to catch up. It is already happening.
This course is not about stopping AI. It is about recovering control without turning off the productivity that already depends on these tools. The Monday Outcome: the organization leaves with an initial exposure map, a risk taxonomy by use case, and the foundation for a real corporate policy — aligned to applicable regulatory frameworks and designed to work in practice, not sit in a drawer.
What you will build
Four modules that move from diagnosing real AI usage to designing an implementable corporate policy.
Shadow AI and unsupervised usage in corporate and operational areas. Usage typologies: drafting, analysis, automation, queries, decision support. How to identify exposure by process and data type. Early warning signals that leadership teams typically overlook.
2 hoursInformation leakage and personal data exposure. Hallucinations and poorly grounded decisions. Reputational, contractual, and regulatory risk. Risk from vendors and invisible configurations. How to distinguish tolerable risk from exposure that requires immediate executive action.
2 hoursPractical implications of GDPR and privacy-by-design for the corporate use of AI. The relationship between AI, personal data processing, and internal control obligations. What policies, criteria, and evidence the organization needs to comply without grinding to a halt. Regulatory positioning vis-à-vis AI vendors as data processors.
2 hoursDesigning an acceptable AI use policy: what to include, what to exclude, how to make it operational. Defining roles, exceptions, and escalation paths. An implementation plan by criticality: what to stop now, what to regulate soon, what to let evolve. How to install governance without generating organizational resistance.
2 hoursWhat you will be able to do
Identify where AI is entering, with what data, under what risk, and with what level of oversight — including the shadow AI that has never been formally declared.
Build a risk taxonomy by process and data type. Distinguish tolerable exposure from risk that demands immediate executive decision before it becomes an incident.
A structured foundation for an acceptable AI use policy: aligned to GDPR and privacy-by-design, operational from day one, without creating bureaucracy the organization will not follow.
Who teaches this course
Seven years leading data ecosystems at BCI, work at illumin (Canadian ad tech), with stints at the IDB, PDVSA, Falabella, and Walmart across five countries. Founded Yaripo with the purpose of closing the gap between AI strategy and real implementation at mid-size organizations with critical operations.
Yaripo addresses AI auditing as a real governance problem — not as technology evangelism or fear management. While most training offerings treat AI risk in the abstract, Yaripo grounds it in concrete executive decisions: what is being used, with what data, under what risk, and what corporate decision is missing to recover control without shutting down the productivity that already depends on these tools. With GDPR and privacy-by-design requirements already in force, this is not an optional topic for organizations in regulated markets.
What the leadership committee asks before enrolling
The risk is already inside your organization.
The decision is yours.
8 hours. 4 modules. An AI exposure map and the foundation for a corporate policy that works in reality, not just on paper.
Enrollment at academia.yaripo.cl · Online asynchronous format · SENCE-compatible