While founders know accounting is important and relevant from the moment of incorporation, it's not always clear where to go from there. We at Puzzle are acutely aware of this situation; most of our team has felt this at one point or another. We've also spoken with hundreds of founders, operators, and other entrepreneurs who've shared the same.
TLDR:
Puzzle has tackled this problem head on.
We're a team of software engineers, designers, product managers, and customer success professionals, who also happen to be CPAs. In applying our decades of accumulated accounting knowledge to our understanding of the challenges in running a business, we built accounting software that brings financial operations into the 21st century.
We're proud that hundreds of founders and business owners have already joined to start experiencing the joys of automation, speed, and clarity in an accounting solution.
To make accounting, and financial operations, more approachable, we thought it necessary to start unpacking some of the jargon that tends to create a barrier between accounting professionals and the accounting uninitiated. To that end, we will be pushing out a series of materials. There will be a few content tracks to help bring Founders and Business Owners to the Financial Accounting and Reporting table. Here’s what you can expect:
Stay tuned!
When we wrote this, "automated bookkeeping" was still a promise most founders were skeptical of. In 2026, it's table stakes, and the gap between founders who have real-time financial visibility and those still waiting for a monthly close is widening fast.
Nearly 85% of financial institutions now use AI or machine-learning techniques in their operations. Founders are feeling this shift directly: the expectation from investors, boards, and co-founders is no longer monthly snapshots. It's an accurate, up-to-date picture at any point in time. Burn rate, runway, cash position. Right now, not three weeks from now.
The accounting concepts we're unpacking in this series (revenue recognition, accrual accounting, financial reporting) have always been important. What's changed is that AI-native tools now make them accessible without requiring a full-time finance hire. You can run a 15-person startup and have books that are accurate, current, and investor-ready. That's new. And it's what this series is built to help you take advantage of.
Puzzle updates your P&L daily as transactions come in, so you are not waiting for a monthly close to see where you stand. For company-wide visibility, your income statement and balance sheet reflect the latest categorized data at any time.
For job- and location-level P&L, Puzzle supports multi-dimensional tracking through classes and segments. You can filter your P&L by project, location, or customer to see a slice of the business on its own. This feature is available on the Complete plan and above. If you need to track a construction job, a product line, or a specific client engagement separately, classes let you tag transactions accordingly and pull a segmented income statement without waiting for your accountant to build one in a spreadsheet.
A few things that make this work in practice:
At the seed stage, burn rate and runway are the two numbers that matter most, yet most founders only see them once a month, after their bookkeeper closes the books. By then, a cash-flow problem spotted in week two might not surface until week six. The month-end close for startups is where that delay hits hardest.
The fastest path to real-time visibility is connecting your bank and payroll accounts to AI-native accounting software. Puzzle, for example, pulls daily transaction data from Mercury, Brex, Ramp, and Gusto, categorizes up to 98% of transactions automatically, and updates your burn rate, cash position, and runway every day. No waiting for month-end. No spreadsheet math between closes.
A few things that make a real difference for seed-stage founders:
Investors at the seed stage expect founders to know their burn rate and runway cold. Real-time visibility is what makes that possible without a full-time finance hire.
| Action | Why it matters | How Puzzle handles it |
|---|---|---|
| Connect accounts natively | Same-day transaction data; no month-end lag | Mercury and Ramp sync and auto-match transactions daily; other banks sync on import |
| Track burn on accrual, not just cash | Cash-basis burn can hide committed expenses not yet cleared | Dual-basis books run simultaneously, with cash and accrual views available at any time |
| Set a weekly review habit | Keeps books current and surfaces AI-flagged exceptions before they compound | AI categorizes up to 98% of transactions; a 15-to-20-minute weekly review is enough |
| Factor in recurring revenue when calculating runway | MRR changes real runway: a $20K MRR line makes a real difference at $50K monthly burn | ARR and MRR tracked automatically alongside burn rate and cash position |
When you connect a bank through Puzzle, you choose which accounts to sync at the account level. If your personal and business accounts share the same bank login, you can select only the business accounts during setup and leave personal accounts unlinked. Puzzle does not automatically pull in every account under a login.
If transactions are imported from the wrong account, you can remove them. Transactions that have not been finalized can be deleted directly. For transactions that were already finalized, you can unfinalize and then remove them. Puzzle's audit log records who made each change, so your books stay clean and traceable.
To avoid importing personal data in the first place, the safest approach is to review the account selection carefully during the integration setup and connect only the accounts your business actively uses.
If your bank does not have a native Puzzle integration, you can import transactions manually via CSV. Puzzle accepts date, amount, and description fields from a CSV upload. Once imported, the AI categorization engine applies the same rules it uses for live-feed transactions, so you still get automated categorization on manually imported data, even without a direct connection.
PDF imports are not natively supported. If your bank only provides statements in PDF format, you will need to convert them to CSV before importing. A number of free tools can handle this conversion. After import, vendor names and categories that the AI does not recognize can be added or corrected manually, and Puzzle will learn from those corrections going forward.
For automatic daily reconciliation without a live feed, note that native auto-reconciliation currently works only with Mercury and Ramp. Other banks require manual CSV uploads to keep transactions current.
Puzzle's AI runs continuously in the background from the moment transactions are imported. It categorizes up to 98% of transactions automatically, creates and refines categorization rules as it learns from your corrections, and runs proactive accuracy reviews to catch errors before they reach your reports — no prompts needed.
Beyond categorization, the AI handles:
On Core plan and above, Puzzle's Accounting AI lets you query your financial data in natural language through a secure, closed-loop chat. It does not send your data to public models. You can generate custom reports on demand and save prompts for reuse. AI credits apply to these conversational queries; the core categorization engine runs separately and does not consume credits.
Yes. When Stripe is connected natively and your bank account is also connected, Puzzle automatically matches Stripe payouts on both sides: the transfer out of your Stripe account and the deposit into your bank account are matched as a single movement of funds, not two separate transactions. This prevents double-counting revenue.
If your bank account is not connected (or if the connection is temporarily broken), Puzzle will flag the pending Stripe payout for review. You can resolve it manually by pointing the entry to the correct account. Reconnecting the bank integration restores automatic matching going forward.
Note that Puzzle's revenue recognition is Stripe-centric. If you bill through a processor other than Stripe, deferred revenue and recognition schedules will require manual journal entries instead of automated handling.
Puzzle's cash position and P&L update daily based on transactions that have already synced from connected accounts. Transactions that have not yet synced — because the bank feed has a delay, a connection is broken, or the account requires a manual CSV upload — are not reflected until they are imported.
For accounts with native integrations (Mercury, Brex, Ramp, Stripe, Gusto, and others), data typically arrives the same day. For banks without a direct connection, the gap between your real cash position and what Puzzle shows depends on how frequently you upload CSVs.
If you know a large transaction is pending but has not cleared yet, you can add a manual journal entry to account for it in your books. This keeps your runway and burn rate calculations accurate even when the bank feed has not caught up. Once the transaction syncs, you can remove or adjust the manual entry.
Puzzle has native integrations with Gusto, Rippling, and Deel. For these providers, payroll journal entries are created automatically when payroll runs.
ADP and Paychex are not on Puzzle's integration roadmap. If you run payroll through ADP, you will need to record payroll journal entries manually. The most common approach is to download your payroll summary report from ADP and use it as the source to create a journal entry in accounting in Puzzle covering gross wages, employer taxes, and net pay. Puzzle supports manual journal entries for this purpose.
AI agents in Puzzle cannot currently ingest a PDF payroll report and create journal entries automatically. The AI Close feature is in beta and available only to select partner firms; it is not available to all users yet. For ADP payroll in particular, manual entry from your payroll summary remains the path today.
