All use cases

Creating support reports

Agents

Internal agent

Categories

Generating reports

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Description

Creating support reports manually is tedious - you need to pull ticket data, calculate engagement and resolution rates, compare against previous periods, break down metrics by category, detect anomalies, and format everything into a readable report. Doing this regularly eats up hours that could be spent improving the actual support experience.

You can use the Parahelp Internal agent to generate support reports by describing what you want - whether that's a daily snapshot, weekly summary, or trend analysis with anomaly detection.

The Parahelp Internal agent automatically pulls ticket data, calculates key metrics (total tickets, AI engagement rate, AI resolution rate, sentiment), compares against historical periods to identify trends, detects anomalies, breaks everything down by category, and delivers a clear summary - so you always know how your support operation and AI agent are performing.

Example

Configuration

Tools

List ticket data in period

Parahelp

Get ticket metrics for a time window.

Research support tickets

Parahelp

Deep research support tickets.

Get ticket system inboxes

Parahelp

Get all ticket system inboxes/teams/groups.

Simulation

  1. Team action: Slack - Submit query ("@Parahelp generate a weekly support report")

  2. Agent action: Parahelp - Listed ticket data in period (last 7 days)

  3. Agent action: Parahelp - Researched support tickets (category breakdown)

  4. Agent action: Parahelp - Send status message ("Weekly Support Report: Total tickets: 3,000. AI engaged: 2,610 (87%). AI resolved: 2,160 (72%). Top categories: Billing (780 tickets, 78% resolved), Product questions (665 tickets, 85% resolved)...")

Example

Configuration

Tools

List ticket data in period

Parahelp

Get ticket metrics for a time window.

Research support tickets

Parahelp

Deep research support tickets.

Get ticket system inboxes

Parahelp

Get all ticket system inboxes/teams/groups.

Simulation

  1. Team action: Slack - Submit query ("@Parahelp generate a weekly support report")

  2. Agent action: Parahelp - Listed ticket data in period (last 7 days)

  3. Agent action: Parahelp - Researched support tickets (category breakdown)

  4. Agent action: Parahelp - Send status message ("Weekly Support Report: Total tickets: 3,000. AI engaged: 2,610 (87%). AI resolved: 2,160 (72%). Top categories: Billing (780 tickets, 78% resolved), Product questions (665 tickets, 85% resolved)...")

Example

Configuration

Tools

List ticket data in period

Parahelp

Get ticket metrics for a time window.

Research support tickets

Parahelp

Deep research support tickets.

Get ticket system inboxes

Parahelp

Get all ticket system inboxes/teams/groups.

Simulation

  1. Team action: Slack - Submit query ("@Parahelp generate a weekly support report")

  2. Agent action: Parahelp - Listed ticket data in period (last 7 days)

  3. Agent action: Parahelp - Researched support tickets (category breakdown)

  4. Agent action: Parahelp - Send status message ("Weekly Support Report: Total tickets: 3,000. AI engaged: 2,610 (87%). AI resolved: 2,160 (72%). Top categories: Billing (780 tickets, 78% resolved), Product questions (665 tickets, 85% resolved)...")

Example

Configuration

Tools

List ticket data in period

Parahelp

Get ticket metrics for a time window.

Research support tickets

Parahelp

Deep research support tickets.

Get ticket system inboxes

Parahelp

Get all ticket system inboxes/teams/groups.

Simulation

  1. Team action: Slack - Submit query ("@Parahelp generate a weekly support report")

  2. Agent action: Parahelp - Listed ticket data in period (last 7 days)

  3. Agent action: Parahelp - Researched support tickets (category breakdown)

  4. Agent action: Parahelp - Send status message ("Weekly Support Report: Total tickets: 3,000. AI engaged: 2,610 (87%). AI resolved: 2,160 (72%). Top categories: Billing (780 tickets, 78% resolved), Product questions (665 tickets, 85% resolved)...")

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