Every business owner has lived through a sweaty-palms moment: payroll is due, a big invoice is late, and your gut says you are fine while your spreadsheet disagrees. A cash flow projection template turns that anxiety into a calendar of facts. Month by month, you can see when cash will arrive, when it will leave, and where the low points will hit. That makes conversations with lenders, investors, and your team concrete instead of hand-wavy. For agencies, sales teams, and founders, it is the difference between reacting to surprises and steering the ship on purpose. Once the model exists in Google Sheets or Excel, the real win is delegation. An AI agent can log in, pull statements, paste in exports, refresh formulas, and flag gaps automatically. Instead of burning an afternoon wrestling CSVs, you review a fresh, agent-updated forecast and decide what to cut, delay, or double down on.
Before you invite any AI agent into your finance stack, you need a solid, human-readable template. Think of the template as the story of your business told in rows and columns: where money comes from, where it goes, and when it moves.
A great cash flow projection template in Google Sheets or Excel has three pieces:
Once that skeleton is in place, you can either maintain it manually or let an AI computer agent like Simular handle the grunt work.
Pros: Simple, no tools beyond a spreadsheet. Great for learning how cash actually behaves in your business.
Cons: Easy to get messy as you add more products, clients, or bank accounts.
Tip: Use historical exports from your accounting tool or bank as a sanity check. Start conservative; it is better to be pleasantly surprised than short on cash.
Trick for agencies and sales teams: Split ad spend or commissions by channel or salesperson so you can quickly see where cash is really going.
At the bottom:
Now you have a living picture of your runway. This is the version every founder and finance lead should understand deeply.
Manual Pros:
Manual Cons:
Once the logic is stable, the real time sink is maintenance: exporting CSVs, cleaning them, pasting into the right tabs, and sanity-checking formulas. This is exactly where a Simular AI agent shines.
Simular Pro acts like a tireless teammate that uses your desktop, browser, Google Sheets, and Excel the same way a human would:
Sketch the workflow you want the agent to run, for example, every Monday:
You can then configure a Simular agent to follow these exact steps, click by click. Because Simular is a computer-use agent, every action is visible and auditable.
Agent Pros:
Agent Cons:
For most businesses, the sweet spot is hybrid:
A practical rhythm might look like this:
In this setup, cash flow projections stop being a once-a-quarter panic activity and become a quiet, automated signal that you're always watching the runway, even while you focus on selling, hiring, or building.
Start with a single sheet in Google Sheets or Excel. Across the top, list the next 12 months. Down the left, create sections for inflows (sales, subscriptions, loans) and outflows (payroll, rent, marketing, tools). Use SUM to total inflows and outflows by month, then add a row for net cash flow. Finally, create opening and closing balance rows linked across months so you can see when cash dips below your comfort level.
Export recent transactions from your bank or accounting tool as CSV. In Sheets or Excel, paste them into a raw data tab. Add columns for category and month. Use filters or formulas to assign each line to a cash flow category and month. Then build a summary tab with SUMIFS to aggregate by category and month. This turns thousands of rows into a clean cash flow table you can plug into your projection template.
Match granularity to your risk and decisions. If you manage tight payroll and supplier timings, build a weekly cash flow in Sheets or Excel for the next 13 weeks. For more strategic planning, use monthly columns over 12–36 months. You can combine both: a detailed weekly tab for short-term visibility and a higher-level monthly tab for long-term planning, reusing the same categories so they roll up cleanly.
Accuracy comes from feedback loops. Each week or month, compare actual cash in and out to the amounts you projected. In your template, add variance rows (actual minus projected) for key categories. When a pattern appears, adjust future assumptions instead of copying last month blindly. If you use an AI agent, have it pull actuals, compute variances, and highlight categories that consistently over- or under-perform.
Document the exact steps you take today: where you log in, which CSVs you export, how you paste into Google Sheets or Excel, and which ranges you refresh. Configure a Simular AI agent to follow those steps on your desktop and browser. Test it on a duplicate file until results match your manual process. Then schedule the agent to run weekly or monthly so your projections are always current while you focus on decisions, not data prep.