1. Unapproved AI Usage
Teams may already be using public AI tools for drafting, analysis, or summarization without approved usage guidance.
Sample Engagement
AI Privacy & Security Assessment
A sample consulting engagement designed to help organizations understand where AI use creates privacy, governance, and operational risk.
What This Assessment Covers
- Current AI tools in use across the organization
- Potential exposure of sensitive or regulated data
- Governance, permissions, and policy gaps
- Practical recommendations for safer adoption
AI Risk Heatmap
This sample heatmap shows common AI adoption risks by impact and likelihood. It is meant to illustrate the kind of executive-facing artifact clients can use to prioritize action.
Low
General productivity prompting with no sensitive data
Moderate
Unclear ownership of AI usage guidance and decision rights
High
Employees pasting internal business information into public AI tools
Moderate
AI outputs used without clear human review or validation
High
Over-permissioned enterprise AI access to internal repositories
Critical
Use of regulated, confidential, or customer data without approved controls
Moderate
Shadow AI adoption without inventory, training, or monitoring
High
Weak retention, logging, or audit visibility for AI interactions
Critical
AI-enabled data leakage creating legal, regulatory, or reputational exposure
Likelihood: Low → High
Impact: Low → High
Sample Findings
2. Sensitive Data Exposure Risk
Without clear guardrails, users may paste internal, confidential, or regulated data into tools that are not configured for enterprise privacy requirements.
3. Governance Gaps
Many organizations have adoption pressure but no clear model for ownership, policy, training, or exception handling.
Typical Deliverables
- Executive summary of top AI privacy and governance risks
- Risk heatmap and prioritized findings
- Current-state observations and gap summary
- Recommended next steps for safer AI adoption
Interested in a Similar Assessment?
Lisa AI Consulting helps organizations take a practical approach to AI privacy, governance, and secure adoption.