AI for Customer Support - Response Quality Procedure
Use this procedure to maintain and improve your AI-assisted customer support quality. It'll guide you through scoring, s...
10 steps
Professional Services AI Operations
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
| Status | Step | Assignee | Deadline |
|---|---|---|---|
| Status: Completed | 1. Receive AI-generated output | TM Team member | |
| Status: Active | 2. Check factual accuracy why this works | Claude AI agent | |
| Status: Waiting | 3. Verify tone and brand alignment | TM Team member | |
| Status: Conditional | 4. Test for bias and fairness why this works | 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
2
Check factual accuracy
1 day from previous step
3
Verify tone and brand alignment
1 day from previous step
4
Test for bias and fairness
1 day from previous step
5
Review data privacy compliance
1 day from previous step
6
Subject matter expert validation
1 day from previous step
7
Apply corrections and improvements
1 day from previous step
8
Final approval
1 day from previous step
9
Log quality metrics for tracking
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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