A complimentary 90-minute working session to visually map your Shadow AI hotspots, produce your top 3 RED risks, and decide if a 2-day audit sprint is the right next step. Not an audit. Not a vendor pitch. A working map.
By the end of this session, you'll have:
Three-lane map: Approved Use, Likely Shadow AI, and Planned Use Cases. Each entry includes tool, data class, and who approves outputs.
Rapid risk scoring using our 4-factor rubric (data sensitivity, decision impact, tool boundary, traceability). Your immediate priorities flagged.
For each RED item: Containment control (what stops now), Migration action (what moves to approved tools), Evidence requirement (what gets logged).
Clear GO/NO-GO on whether a Shadow AI Audit & Migration Sprint is the right next step. With proposed dates and scope if yes.
What's officially approved? What's explicitly prohibited? What's the exception process? We establish ground rules.
Where are teams feeling strongest pressure to use AI? Which workflows are most overloaded? Concrete: which team, which output, what volume.
Build three lanes. For each: What data touches this? What's the decision impact? Who approves the output?
4-factor rubric scores each workflow. Mark top 3 as RED. These are your immediate priorities.
For each RED item: Containment, Replacement/migration, Evidence requirement. Owners assigned.
Present 2-day audit as logical next step. You decide: proceed with dates, reduced scope, or pause for internal discussion.
Three "closing triggers" we produce in-session:
This session works best with 5–7 decision-makers who can speak to technology, risk, privacy, and operations.
Or delegate with authority to commit to next steps
Owns data protection compliance
Can speak to tool boundaries and risks
If separate from privacy/security
From a high-usage area (Policy, Comms, Operations)
If retention is a key concern