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

AI Data Governance and Privacy Procedure Run #2,481 Running now
Status Step Assignee Deadline
Status: Completed

1. Audit data sources used by AI systems

TM
Team member
Status: Active

2. Classify data sensitivity levels

Claude
AI agent
Status: Waiting

3. Map data flows through AI pipeline

TM
Team member
Status: Conditional

4. Review consent and permission records

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
task
2

Classify data sensitivity levels

1 day from previous step
task
3

Map data flows through AI pipeline

1 day from previous step
task
4

Review consent and permission records

1 day from previous step
task
5

Implement data minimization practices

1 day from previous step
task
6

Set retention and deletion policies

1 day from previous step
task
7

Configure access controls

1 day from previous step
task
8

Test anonymization and masking

1 day from previous step
task
9

Conduct privacy impact assessment

1 day from previous step
task
10

Document and publish data governance policy

1 day from previous step
task

Why Tallyfy is the AI control layer

Phase 1

Set up

Define the recipe
1
Define process steps
You can't automate without a recipe.
2
Set deadlines and conditions
AI needs structure.
3
Assign each step
Person, AI, or rule. The right doer.
Phase 2

Run

People + AI working together
4
Launch
One click. No glue code.
5
AI handles routine tasks
Fewer mistakes and hallucinations.
6
People approve
Accountability. You can't blame AI.
Phase 3

Track and improve

Audit and learn
7
Track real-time status
AI sessions are a nightmare to track alone.
8
Audit and improve
Gradual shift, never total re-do.

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