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Measure productivity gains with Freddy Copilot

Modified on: Thu, 8 Jan, 2026 at 10:08 AM

TABLE OF CONTENTS

Freddy Copilot uses AI-powered capabilities to reduce manual effort across ticket handling, resolution, and knowledge creation. Each capability enhances efficiency at specific stages of the support workflow, enabling agents to complete tasks more quickly and consistently.

Learn how the savings formula works and see feature-level examples that show how to measure the impact of Freddy Copilot usage.

How to calculate savings

All Freddy Copilot features use the same underlying calculation logic.

Formula

Time savings = Σ (Time saved per use × Number of uses)

What this means

  • Time savings: The total time saved by using Freddy Copilot across all features and use cases.

  • Time saved per use: The average time saved for a single use of a feature, measured in minutes or hours, compared to completing the task manually.

  • Number of uses: The total number of times a feature is used during the selected reporting period.

  • Σ (sum): Indicates that the calculation is performed for each eligible feature and then added together to calculate total time savings.

Example calculation for Freddy Copilot impact

This example uses annual, illustrative data to show how time savings are calculated for different Freddy Copilot capabilities.

Annual time savings breakdown

Capability

Number of uses (annual)

Time saved per use

Calculation

Total time saved

Reply Suggestor + Actionable Response Summaries + Similar Incident Suggester

28,275 tickets

10 minutes

28,275 × 10 min

282,750 minutes (4,713 hours)

Ticket Summary Generator + Resolution Notes Suggester

77,757 tickets

4 minutes

77,757 × 4 min

311,028 minutes (5,184 hours)

Help article generator

5,000 articles

16 minutes

5,000 × 16 min

80,000 minutes (1,354 hours)

Conversational service desk actions (Freddy Quick Actions)

Org-wide usage

0.2 hours per user per week

23,000 users × 0.2 hr × 52 weeks

258,800 hours

Writing assistant (Rephrase, Tone, Expand)

63,620 tickets

2 minutes

63,620 × 2 min

127,240 minutes (2,121 hours)

Field suggester (Auto-triage)

49,482 tickets

0.5 minutes

49,482 × 0.5 min

24,741 minutes (412 hours)