If you are a founder, agency operator, or revenue leader, you do not need another spreadsheet you touch once a quarter. You need a cash conversion cycle (CCC) calculator that is alive: always updated, trusted, and ready to answer “How fast do we turn cash into cash?” Here is how to get there, from manual to fully agent driven.

1. Manual workflows in Google Sheets and Excel

A. Build a CCC calculator in Google Sheets

1. Create a new sheet and name one tab Inputs.
2. In row 1, add headers:
   • A1: Period
   • B1: Beg_Inventory
   • C1: End_Inventory
   • D1: Beg_AR
   • E1: End_AR
   • F1: Beg_AP
   • G1: End_AP
   • H1: Revenue
   • I1: COGS
   • J1: Days_in_Period (e.g., 365 or 90)
3. In row 2, paste your data for the first period (from your income statement and balance sheet).
4. On a new tab CCC, reference your inputs:
   • Avg Inventory in B2: =(Inputs!B2+Inputs!C2)/2
   • Avg AR in C2: =(Inputs!D2+Inputs!E2)/2
   • Avg AP in D2: =(Inputs!F2+Inputs!G2)/2
   • Daily Revenue in E2: =Inputs!H2/Inputs!J2
   • Daily COGS in F2: =Inputs!I2/Inputs!J2
   • AR Days in G2: =C2/E2
   • Inventory Days in H2: =B2/F2
   • AP Days in I2: =D2/F2
   • CCC in J2: =G2+H2-I2
5. Drag formulas down for new periods.

For help with formulas in Sheets, see Google’s official guide: https://support.google.com/docs/answer/3093480

B. Build the same calculator in Excel

1. In Excel, create a table (Ctrl+T or Command+T on Mac) on a sheet named Inputs with the same columns as above.
2. On a sheet named CCC, reference the table using structured references, for example:
   • Avg Inventory: =(Inputs[@Beg_Inventory]+Inputs[@End_Inventory])/2
   • Avg AR: =(Inputs[@Beg_AR]+Inputs[@End_AR])/2
   • Avg AP: =(Inputs[@Beg_AP]+Inputs[@End_AP])/2
   • Daily Revenue: =Inputs[@Revenue]/Inputs[@Days_in_Period]
   • Daily COGS: =Inputs[@COGS]/Inputs[@Days_in_Period]
   • AR Days: =[@[Avg_AR]]/[@[Daily_Revenue]]
   • Inventory Days: =[@[Avg_Inventory]]/[@[Daily_COGS]]
   • AP Days: =[@[Avg_AP]]/[@[Daily_COGS]]
   • CCC: =[@[AR_Days]]+[@[Inventory_Days]]-[@[AP_Days]]

Learn more about creating tables and formulas in Excel here: https://support.microsoft.com/en-us/office/create-and-format-tables-3f3fdc01-2f15-4f3b-8c92-0a89e1c01a31 and https://support.microsoft.com/en-us/office/create-a-simple-formula-in-excel-3039bd4a-95e3-4c2c-8e50-ffb39cf1b1e0

C. Manually refresh your data

1. Export balance sheet and income statement from your accounting tool as CSV.
2. Paste or import the numbers into the Inputs tab.
3. Confirm formulas recalculate CCC.

This gives you full control, but it is still a weekly or monthly chore.

2. No-code automation with Google Sheets and Excel

Now we remove the copy paste. You keep the same CCC formulas but feed them automatically.

A. Automate data into Google Sheets

1. Keep your Inputs and CCC tabs exactly as above.
2. Use a no-code tool such as Zapier, Make, or your accounting platform’s native connector.
3. Create an automation that runs daily or weekly:
   • Trigger: Scheduled time.
   • Action 1: Pull latest Revenue, COGS, and period balances for Inventory, AR, and AP.
   • Action 2: Append a new row in the Inputs tab with that data.
4. Because the CCC tab already uses formulas referencing entire ranges, it will automatically compute the new CCC.

To manage add-ons and connectors in Google Sheets, see: https://support.google.com/docs/answer/2942256

B. Automate data into Excel

If you live in Excel, Power Query is your best no-code ally.

1. Store your accounting exports in a folder (or connect directly if your ERP supports it).
2. In Excel, go to Data → Get Data and connect to your CSV folder or data source.
3. Use Power Query to:
   • Combine new files into a single table.
   • Transform columns so they match your Inputs schema.
   • Load the result into the Inputs table.
4. Refresh the query (manually or on open); your CCC formulas recalc instantly.

See Microsoft’s Power Query guide: https://support.microsoft.com/en-us/office/get-and-transform-data-in-excel-power-query-873c746d-6b41-40e3-aaf5-770d0b9c38b3

Pros:

• Less repetitive work.
• Fewer manual errors.
• Still transparent; you can inspect every row.

Cons:

• You maintain the automations yourself.
• Still fragmented: someone must check that everything ran and then interpret the numbers.

3. Scaling CCC with AI computer agents

At some point, your world gets more complex: multiple entities, dozens of clients, different CRMs and ERPs. This is where an AI computer agent shines: it behaves like a tireless analyst running your CCC playbook end to end.

A. Agent automating your CCC ritual

Imagine an AI computer agent sitting at your desktop each morning:

1. It opens your browser, logs into your accounting system, and downloads the latest balance sheet and income statement for each business unit.
2. It saves those files into well named folders, then opens your Google Sheets CCC template in the browser.
3. It pastes or imports the fresh numbers into the Inputs tab, waits for formulas to update, and records the new CCC.
4. For entities that still rely on offline models, it opens Excel, refreshes Power Query, and confirms the CCC output matches expectations.
5. Finally, it writes a short narrative: “Marketing agency CCC rose from 62 to 71 days this week because DSO increased. Inventory days flat, AP days shortened.” It sends that to you via email or chat.

Pros:

• End to end workflow: one agent touches browser, desktop apps, files, and Sheets.
• Production grade reliability once configured; the same steps run identically every time.
• Transparent execution logs, so finance can review each click and formula.

Cons:

• Requires an initial design and testing phase.
• You need clear naming conventions and stable report formats.

B. Multi client or multi brand CCC monitoring

If you run an agency or holdco, the agent can loop:

1. Read a list of entities or clients from a Google Sheet.
2. For each row, open the right spreadsheet or Excel file, refresh the data, and compute CCC.
3. Compile a portfolio view: ranking by CCC, flagging those with increasing trends.
4. Generate a slide or Google Doc summarizing where cash is getting stuck, so account managers can act.

C. Automated alerting and experiments

You can push further:

• When CCC crosses a threshold, the agent sends a Slack alert to the founder or finance lead.
• After you change payment terms or inventory policy, the agent tracks CCC before and after and drafts a one pager on the impact.

This is where an AI computer agent stops being a calculator and becomes a quiet partner watching over your cash, while your team focuses on selling, marketing, and building.

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