AI Incident Response and Rollback Procedure
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Information Technology AI Compliance
Workflow template for Tallyfy
AI Data Governance and Privacy Procedure
Use this procedure to govern and protect data that flows through your AI systems. It walks you through auditing sources, classifying sensitivity, mapping flows, and making sure you're meeting privacy and compliance requirements.
10 steps
Run this workflow in Tallyfy with people, AI, and conditions
| Status | Step | Assignee | Deadline |
|---|---|---|---|
| Status: Completed | 1. Audit data sources used by AI systems | TM Team member | |
| Status: Active | 2. Classify data sensitivity levels why this works | Claude AI agent | |
| Status: Waiting | 3. Map data flows through AI pipeline | TM Team member | |
| Status: Conditional | 4. Review consent and permission records why this works | Claude AI agent | |
| + 6 more steps below | |||
Tallyfy is the accountability layer that lets this template mix people, AI agents, and conditions in one auditable flow
Process steps
1
Audit data sources used by AI systems
1 day from previous step
2
Classify data sensitivity levels
1 day from previous step
3
Map data flows through AI pipeline
1 day from previous step
4
Review consent and permission records
1 day from previous step
5
Implement data minimization practices
1 day from previous step
6
Set retention and deletion policies
1 day from previous step
7
Configure access controls
1 day from previous step
8
Test anonymization and masking
1 day from previous step
9
Conduct privacy impact assessment
1 day from previous step
10
Document and publish data governance policy
1 day from previous step
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Why Tallyfy is the AI control layer
Phase 1
Set up
Define the recipeLay out your steps, deadlines, and who does each: a person, AI, or a rule.
Phase 2
Run
People + AI togetherLaunch in one click. AI does the routine steps; people approve. No glue code.
Phase 3
Track and improve
Audit and learnWatch every step live, then refine - a gradual shift, never a total redo.
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