Workflow template for Tallyfy

AI Output Quality Review and Approval

Use this procedure to review and approve AI-generated output before it goes live. You'll check accuracy, tone, bias, privacy, and get expert sign-off so your team can trust every piece of AI content.

9 steps

Run this workflow in Tallyfy with people, AI, and conditions

AI Output Quality Review and Approval Run #2,481 Running now
Status Step Assignee Deadline
Status: Completed

1. Receive AI-generated output

TM
Team member
Status: Active

2. Check factual accuracy

Claude
AI agent
Status: Waiting

3. Verify tone and brand alignment

TM
Team member
Status: Conditional

4. Test for bias and fairness

Claude
AI agent
+ 5 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

Receive AI-generated output

1 day from previous step
task
2

Check factual accuracy

1 day from previous step
task
3

Verify tone and brand alignment

1 day from previous step
task
4

Test for bias and fairness

1 day from previous step
task
5

Review data privacy compliance

1 day from previous step
task
6

Subject matter expert validation

1 day from previous step
task
7

Apply corrections and improvements

1 day from previous step
task
8

Final approval

1 day from previous step
task
9

Log quality metrics for tracking

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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