Workflow template for Tallyfy

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, sampling, analyzing, and coaching your team based on AI-generated insights. If you're not sure where to start, follow the steps in order.

10 steps

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

AI for Customer Support - Response Quality Procedure Run #2,481 Running now
1 done . 1 running . 8 to go
Status Step Assignee Deadline
Status: Completed

1. Configure AI quality scoring criteria

TM
Team member
Status: Active

2. Sample support tickets for review

why this works
Claude
AI agent
Status: Waiting

3. Run AI analysis on response quality

TM
Team member
Status: Conditional

4. Review sentiment and tone scores

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

Configure AI quality scoring criteria

1 day from previous step
task
2

Sample support tickets for review

1 day from previous step
task
3

Run AI analysis on response quality

1 day from previous step
task
4

Review sentiment and tone scores

1 day from previous step
task
5

Check resolution accuracy

1 day from previous step
task
6

Identify training gaps from AI data

1 day from previous step
task
7

Generate agent performance reports

1 day from previous step
task
8

Share feedback with support team

1 day from previous step
task
9

Implement coaching recommendations

1 day from previous step
task
10

Track quality improvement over time

1 day from previous step
task

Why Tallyfy is the AI control layer

Phase 1

Set up

Define the recipe

Lay out your steps, deadlines, and who does each: a person, AI, or a rule.

Phase 2

Run

People + AI together

Launch in one click. AI does the routine steps; people approve. No glue code.

Phase 3

Track and improve

Audit and learn

Watch every step live, then refine - a gradual shift, never a total redo.

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