> ## Documentation Index
> Fetch the complete documentation index at: https://docs.heygarth.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Cost Saving & ROI Insights

> Organization-wide tool licensing costs, inactive seat savings, and AI coding tool ROI.

The **Cost Saving & ROI Insights** sub-tab of Organization Summary surfaces software licensing spend across all connected tools, highlights unused/inactive seats as savings opportunities, and quantifies the return on investment (ROI) delivered by AI coding tools specifically.

## Summary cards

| Card                        | Description                                                   |
| --------------------------- | ------------------------------------------------------------- |
| Total Licensed Seats        | Total number of paid seats across all connected tools         |
| Total Cost (Monthly)        | Combined monthly license cost across all tools                |
| Total Cost (Annual)         | Combined annualized license cost across all tools             |
| Inactive Seats              | Total seats identified as unused/inactive across all tools    |
| Potential Savings (Monthly) | Total monthly savings possible if inactive seats were removed |
| Potential Savings (Annual)  | Total annual savings possible if inactive seats were removed  |

## Cost By Tool

A breakdown of licensing cost, grouped by tool category (e.g. **Repository Tools**, **AI Coding Tools**, **Work Management Tools**, **Communication Tools**), with a tool count shown per category (e.g. *AI Coding Tools · 3 tools*).

Each tool within a category gets its own card, tagged with its category (e.g. **GitHub** – *Repository*, **Claude Code** – *AI Coding*), split into two parts:

**License Cost**

| Metric              | Description                                                      |
| ------------------- | ---------------------------------------------------------------- |
| Total Seats         | Number of licensed seats for that tool                           |
| Cost / Seat / Month | Per-seat monthly license price                                   |
| Monthly Cost        | Total monthly cost for that tool (Total Seats × Cost/Seat/Month) |
| Annual Cost         | Total annualized cost for that tool                              |

**Savings Opportunity**

| Metric                   | Description                                                 |
| ------------------------ | ----------------------------------------------------------- |
| Inactive Seats           | Number of seats for that tool identified as unused          |
| Monthly Saving Potential | Monthly savings possible by reclaiming those inactive seats |
| Annual Saving Potential  | Annual savings possible by reclaiming those inactive seats  |

Tools observed on this page include GitHub, Claude Code, GitHub Copilot, Jira, Slack, and Microsoft Teams — grouped under their respective categories as above.

## AI Coding Tools ROI

Below the Cost By Tool breakdown, each AI coding tool gets a dedicated ROI card:

| Metric             | Description                                                   |
| ------------------ | ------------------------------------------------------------- |
| Time Saved / mo    | Estimated developer hours saved per month from using the tool |
| Value Created / mo | Dollar value assigned to that time saved                      |
| Tool Cost / mo     | Monthly cost of the tool                                      |
| Net Value / mo     | Value Created minus Tool Cost                                 |
| ROI                | Return on investment multiple (Value Created ÷ Tool Cost)     |

Tools observed with ROI cards include **Cursor AI** and **GitHub Copilot**.