

Cash flow is the heartbeat of your business. A simple template in Excel or Google Sheets turns scattered transactions into a clear, time‑based story: where cash came from, where it went, and when you might hit a squeeze. Using structured sections for operating, investing, and financing activities, you can see if growth is actually funding itself or quietly bleeding your runway. With a reusable template, you stop rebuilding reports each month and start spotting patterns: seasonality, lumpy invoices, or marketing campaigns that pay back fast.Now imagine your cash flow template kept itself alive. An AI agent logs into your bank, downloads statements, drops them into Excel or Google Sheets, tags each line by activity, and updates projections before you sip your coffee. Instead of wrestling CSVs at midnight, you review insights, tweak strategy, and move. Delegating cash flow upkeep to an AI agent turns a dreaded monthly chore into a quiet background process that protects your decisions every single day.
### 1. Manual ways to build a cash flow templateThese are the classic, "roll up your sleeves" approaches. They’re slow but great for understanding every moving part before you automate.#### 1.1 Start from a blank Google Sheet1. Go to Google Sheets: https://docs.google.com/spreadsheets/2. Click **Blank** to create a new sheet (help: https://support.google.com/docs/answer/6000292).3. In row 1, add headers: `Period`, `Operating cash in`, `Operating cash out`, `Investing in`, `Investing out`, `Financing in`, `Financing out`, `Net cash change`, `Ending cash`.4. In column A, list periods (months or weeks).5. Manually copy cash receipts and payments from your bank or accounting tool into the relevant columns.6. Use formulas like `=SUM(B2:C2)` or `=B2-C2` (function overview: https://support.google.com/docs/table/25273) to calculate net cash and ending cash.7. Add a simple line chart for ending cash over time (chart help: https://support.google.com/docs/answer/63824).Pros: Maximum control and understanding. Cons: Tedious data entry, easy to make mistakes.#### 1.2 Use an Excel cash flow template file1. Open Excel desktop or Excel for the web.2. From the **File > New** screen, search for "cash flow" under templates.3. Pick a template layout you like and click **Create** (template basics: https://support.microsoft.com/office/create-a-new-workbook-5bd3f875-9c37-4f46-9c23-3f5b19a744a8).4. Map the template’s rows to your business: adjust line items for subscriptions, ad spend, payroll, etc.5. Paste in historical cash data and let the built‑in formulas calculate totals.6. Use Excel formulas like `SUMIF`, `IF`, and `VLOOKUP` to refine classifications (formula guide: https://support.microsoft.com/office/create-a-formula-e43a12f4-9c46-4a12-8dff-41e6a7e0e87f).Pros: Solid structure, fewer formula errors. Cons: Still manual, requires regular copy‑paste from source systems.#### 1.3 Build a 12‑month projection tabWhether you’re in Sheets or Excel, add a second tab called `Projection_12M`.1. Link opening cash in month 1 to your current ending cash: e.g., `=Cash_Flow!I13`.2. For each month, estimate: - Cash in from sales (maybe 80% of revenue this month, 20% next month). - Cash out for COGS, marketing, payroll, tools.3. Use simple drivers instead of guessing each line: e.g., `=Revenue!B2*0.8` for collections.4. Add a cumulative cash line so you see when the curve dips below zero.Pros: Great for planning. Cons: Still requires manual updates when reality changes.---### 2. No‑code automation with Google Sheets and ExcelOnce you trust your structure, you can stop being the data mule.#### 2.1 Connect Sheets to live data with built‑in tools1. Use **File > Import** in Google Sheets to pull in CSVs from your bank or accounting tool (help: https://support.google.com/docs/answer/9143382).2. If your data lives in another Google Sheet, use `=IMPORTRANGE("URL","range")` to sync it into your cash flow template.3. Apply `FILTER` and `QUERY` functions to slice operating vs investing vs financing cash without manual sorting.4. Turn those into named ranges so your template formulas stay clean.Pros: Always‑fresh data inside Sheets. Cons: Still some manual work when you get new CSV formats.#### 2.2 Automate Excel imports with Power Query1. In Excel, go to **Data > Get Data** and connect to your bank export folder or accounting system (overview: https://support.microsoft.com/office/get-data-from-external-data-sources-21f63e32-236e-4e12-aaa5-3ecab6b806ec).2. Use Power Query to define a transformation: remove extra columns, rename headers, standardize date formats.3. Load the cleaned data into a `Data` tab.4. Point your cash flow template formulas at the `Data` tab instead of raw CSVs.5. Each period, just click **Refresh All**.Pros: Very reliable, repeatable, minimal button‑clicking. Cons: Setup is more technical; best for finance‑savvy users.#### 2.3 Use no‑code automation tools1. In Zapier/Make/etc., create a scenario that triggers when a new bank CSV hits a cloud folder or an accounting report is exported.2. Action: append rows to your Google Sheet via its API or update an Excel file in OneDrive.3. In your template tab, reference that raw data with formulas or pivot tables.Pros: Reduces manual downloads and uploads. Cons: Still rule‑based; breaks when UI or file formats change.---### 3. Scaling with AI agents (Simular) in Sheets & ExcelNo‑code tools move data. An AI agent can actually *operate* your computer like a finance assistant who never sleeps.#### 3.1 Let an AI agent run the full monthly closeImagine month‑end: instead of you juggling tabs, a Simular AI agent:1. Opens your browser, logs into banking and accounting portals.2. Downloads statements and cash reports, saves them to a standard folder.3. Opens your Excel cash flow workbook or Google Sheets template.4. Imports or pastes data into the right tabs, using consistent ranges.5. Classifies each transaction as operating, investing, or financing based on descriptions and your past edits.6. Checks that ending cash matches your bank balances and flags mismatches.Pros: End‑to‑end automation, handles multi‑step workflows across desktop, browser, and cloud. Cons: Needs an initial setup and some test runs to match your exact process.#### 3.2 Continuous, daily cash flow refreshSet up a schedule where the Simular AI agent runs every morning:1. It pulls the last 24 hours of transactions.2. Updates your Google Sheets or Excel template.3. Regenerates charts and summary metrics.4. Sends you a snapshot or link in email/Slack so you just review.Pros: Near real‑time visibility, zero manual effort after onboarding. Cons: Requires stable logins and clear runbooks for the agent.#### 3.3 Scenario modeling at scaleBecause Simular agents can follow instructions across tools, you can:1. Duplicate your Excel or Sheets file into multiple "what‑if" versions.2. Have the agent tweak drivers: slower collections, bigger ad spend, new hire waves.3. Let it record results into a summary dashboard Sheet or Excel tab.Pros: Run dozens of scenarios while you focus on decisions, not keystrokes. Cons: Needs careful instructions so scenarios are labeled and stored clearly.In short, manual methods teach you the logic, no‑code tools cut the simplest busywork, and AI agents like Simular step in when you’re ready to treat cash flow maintenance as a fully delegated, production‑grade workflow.
Start by mirroring the three standard sections accountants use: Operating, Investing, and Financing activities. In Google Sheets or Excel, create column headers such as Period, Operating Cash In, Operating Cash Out, Investing Cash In, Investing Cash Out, Financing Cash In, Financing Cash Out, Net Cash Change, and Ending Cash. Down the rows, list each period (weeks or months). Under each section, add line items like Customer Receipts, Supplier Payments, Payroll, Loan Drawdowns, Loan Repayments, and Asset Purchases. Use simple formulas: Net Cash Change = (total cash in) – (total cash out) for that period. Ending Cash for the current period = Previous Ending Cash + Current Net Cash Change. Once the skeleton works for one period, drag the formulas across to all periods. Finally, add a line chart of Ending Cash so you can see trends and potential cash crunches at a glance.
First, export your bank transactions as CSV. In Google Sheets, use **File > Import** to load them into a raw data tab; in Excel, use **Data > Get Data** or a simple CSV open. Create columns for Category and Cash Flow Type. Go down the list, assigning business‑relevant categories (e.g., "Ad Spend", "Payroll", "Software") and then map each category to Operating, Investing, or Financing. You can speed this up with rules: for example, use `IF` or `IFS` formulas, or create a small mapping table and use `VLOOKUP`/`XLOOKUP` to auto‑assign types. Once each row has a type, build a summary table with `SUMIFS`, aggregating amounts by Period and Cash Flow Type. Link that summary table back into your cash flow template so each period’s totals update automatically when you paste in new bank data next month.
Start with a historical tab that shows actual cash in and out by month. In a new tab called Forecast, create 12 columns for the upcoming months. In the top rows, add key drivers: expected revenue growth, days to collect receivables, planned headcount, and planned marketing spend. For cash in, link to your revenue plan and apply collection assumptions (for example, 70% of sales collected this month, 30% next month). For cash out, break costs into payroll, COGS, marketing, tools, rent, and taxes, each as its own row. Use formulas to tie these to drivers (e.g., payroll linked to headcount, COGS as a percentage of revenue). At the bottom, calculate Net Cash Change and Ending Cash for each month, with the first month’s opening cash equal to today’s bank balance. Use conditional formatting to highlight months where Ending Cash drops below a threshold, so you can see when you may need to slow spend or raise capital.
In Google Sheets, create a separate tab called Data where raw, live information lands. If your numbers live in another Google Sheet (like a sales or invoices tracker), use `IMPORTRANGE` to pull in specific ranges. If you export CSVs regularly, import them into the Data tab and keep the structure consistent. Then, in your cash flow template tab, avoid typing numbers manually. Instead, use `SUMIF`/`SUMIFS`, `FILTER`, or `QUERY` formulas to aggregate Data into the Operating, Investing, and Financing sections by date and category. When the Data tab updates, your cash flow statement recalculates automatically. You can even set up pivot tables to summarize cash by month and type, then reference those pivot results in your main layout. This separation—Data vs Template—means you can change upstream sources without rewriting the entire cash flow model every time.
Treat your AI agent like a junior finance assistant that needs guardrails. First, document your exact process: where you log in, which reports you download, which folders you save them to, and how you paste or import data into your Google Sheets or Excel template. Next, give the agent a dedicated test copy of your cash flow file and let it run the workflow end‑to‑end while you watch. Because Simular agents record every step transparently, you can inspect each click and keystroke, then refine the instructions where something goes wrong. Add checks, such as verifying that Ending Cash in the template matches the bank balance within a small tolerance, or that totals in Operating + Investing + Financing equal the net bank movement. Once it passes tests repeatedly, you can schedule the agent to run on a cadence, always keeping a read‑only backup of the template so you can roll back if needed. This way, you get automation without losing control.