Build a cash dashboard around what one owner actually cares about
Give a business owner a live view of their cash built around their own questions (can I make payroll, when can I buy the truck, how much can I take out) instead of a standard report package.
A custom dashboard for one client used to mean a developer and a budget no small engagement could carry. Now the accountant can interview the owner, describe the dashboard in plain English, and have an AI coding tool build it on the client's own ledger data. The accountant approves the numbers and the logic. The owner shapes what it shows.
- Time
- Changes the workflow
- About 8 hr down to 2.5 hr per client
- Who does it today
- The CAS lead or advisory partner, when the engagement can carry it
- Practice area
- Client service
Illustrative planning estimate, not a measured result. Traditional time is a practical minimum for building a custom spreadsheet dashboard by hand that the firm then refreshes every month (and most firms never offer it at all). AI time is the owner interview, directing the build, checking the numbers against the ledger, and review. After the build, the monthly refresh is automated. Treat these as rough planning numbers.
Traditional vs AI-native
Traditional
- 1Standard report package
- 2Owner doesn't read it
- 3Owner calls with a question
- 4Accountant builds a one-off answer
- 5Repeat next month
AI-native
- 1Interview the owner
- 2Describe the dashboard in plain English
- 3AI builds it on ledger data
- 4You verify the numbers and logic
- 5Owner asks for changes
- 6Refreshes on its own
Where you sit
You translate the owner's questions into rules, check every number before the owner sees it, and advise on what it means. The owner shapes what the dashboard shows. The coding tool does the building.
The traditional way
- Send the standard monthly package: P&L, balance sheet, maybe a cash flow statement.
- Field the owner's real questions by phone: can I afford to hire, why is cash down if we made money.
- Build a one-off spreadsheet to answer each question.
- Rebuild or refresh it by hand next time they ask.
Where it hurts
- Owners don't read standard statements, so the firm's best work goes unseen.
- Custom reporting is too expensive to build per client, so almost nobody gets it.
- The firm answers the same question every month from scratch.
The AI-native way
- 1You
Interview the owner
Ask what decisions they make about cash and what they check first. Write down their three to five questions in their words: 'Will I have enough for payroll on the 15th and 30th?' 'How many weeks of runway?' 'What can I safely distribute this quarter?'
- 2You
Specify the dashboard
Turn the answers into a one-page brief: each question, the number that answers it, the accounts and rules behind it (for example, safe distribution equals cash minus two payrolls minus next quarter's estimate minus a reserve the owner chose), and how it should look.
- 3AI
Build it on the client's data
An AI coding tool builds the dashboard from the brief, reading from the ledger's API or a scheduled export. It can be a spreadsheet, a simple web page, or a page in the firm's portal. Every figure is computed in code from named accounts, never typed in.
Tools: Claude Code or another AI coding tool · QuickBooks Online or Xero API, or a scheduled export
- 4You
Verify every number and rule
Tie each tile to the ledger for two or three past months, and read the logic behind every derived number. The owner will act on these figures, so the accountant's check is the product.
- 5You
Let the owner shape it
Walk the owner through it and take their changes: a different reserve, a new question, a chart they want to see. Changes are a sentence to the coding tool plus your review.
- 6Automation
Refresh automatically
The dashboard refreshes on a schedule from the closed books. A short monthly note from the accountant rides along with it: what changed and what to do about it.
What you need
- An owner with real cash decisions to make, and 30 minutes of their time
- A cloud ledger with API access or a reliable scheduled export
- An AI coding tool, and someone at the firm comfortable directing it
- A place to host the result that keeps client data private (a shared spreadsheet, or a client portal page behind a login)
- Monthly closed books, so the dashboard shows real numbers
The stack
Data
QuickBooks Online or Xero API, or a scheduled export to a secure folder
Build
Claude Code or another AI coding tool, working from the written brief
Delivery
A shared spreadsheet, or a small web page behind a login in the firm's portal
Refresh
A scheduled job that runs after each month's close
Named tools are examples, not endorsements. Check any tool against your own data rules first.
Copy the prompt
Dashboard build brief (excerpt)
Build a one-page cash dashboard for a single business owner. Data comes from the attached monthly trial balance export (13 months) and the payroll schedule. Every number must be computed from named accounts. Show the formula behind each tile on hover. Tiles, in this order: 1. Cash today: sum of accounts 1000 Operating and 1010 Savings. 2. Next two payrolls covered? Cash today minus the next two payroll totals from the payroll schedule. Green if positive, red if not. 3. Weeks of runway: cash today divided by average weekly cash outflow over the last 13 weeks. 4. Safe to distribute this quarter: cash today minus two payrolls minus next estimated tax payment (from the schedule) minus the owner's reserve of $40,000. Never show a negative number; show $0 and why. 5. Chart: month-end cash, last 13 months. Rules: - If an account is missing from the export, show "data missing" on that tile. Do not estimate. - Include a "last updated" date from the export. - Include a test that recomputes every tile from the sample export and compares to expected values I will provide.
Example
Fictional data.
Owner's questions, from the interview
"Am I going to be short for payroll?" "How long could we go if a big customer paid late?" "What can I take out this quarter without worrying?"
Dashboard tiles (illustrative)
Cash today $212,480 (as of Sept 12) Next two payrolls covered Yes, $118,300 left after both Weeks of runway 9.4 weeks Safe to distribute this quarter $31,900 (after two payrolls, the Sept 15 estimate, and your $40,000 reserve) Month-end cash, 13 months [chart] Accountant's note: Cash is down from July because the new van was paid in cash. Runway is fine. We'd hold distributions until the Henderson receivable comes in.
Guardrails
- The accountant verifies every tile against the ledger before the owner sees it, and again after any change to the logic.
- Derived numbers like safe to distribute are advice. Write the rule down, show it on the dashboard, and make sure the owner understands the assumptions.
- Host it somewhere private. Client financial data should not be on a public page, and the build tool should work under an enterprise data agreement.
What can go wrong
A tile shows a wrong number because an account was renamed or split in the ledger.
Tiles reference accounts by number, missing accounts show 'data missing', and the build includes a test against known values.
The owner treats a planning number as a guarantee.
Each derived tile shows its rule and assumptions, and the accountant's monthly note puts it in context.
The dashboard refreshes before the books are closed.
Refresh from the closed trial balance, and show the as-of date on every tile.
How to prove it worked
Owner questions answered without a call
Count cash-related calls and emails for three months before and after.
Down
Engagement value
Compare the fee and retention of clients with a dashboard to similar clients without one.
Higher fee, higher retention
Where this goes
Every client gets an interface built around their business, not a standard package. The same pattern extends to client-facing agents that answer the owner's questions from accountant-approved numbers, with the accountant setting the rules and the owner shaping what they see.
Demo
Demo video coming soon
Until then, the steps and the example above are the walkthrough.
Want to implement this in your firm?
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