Use cases for accounting & bookkeeping firms

Bank feed pushes new transactions into QuickBooks or Xero overnight.

AI reviews each transaction against the firm's historical categorization patterns.

AI auto-categorizes 90%+ with confidence scoring on every transaction.

Low-confidence transactions routed to an exceptions queue for human review.

Bookkeeper reviews exceptions in under an hour and approves the batch.

Categorized transactions sync to client books with full audit trail logged.

Monthly schedule triggers the document collection cycle.

Chatbot messages each client via SMS or email with a personalized list of missing documents.

Client uploads documents directly through the chatbot interface.

AI identifies document type — receipt, bank statement, invoice — and routes to the correct client folder.

Bookkeeper notified only when all documents are collected or escalation is needed.

Automated follow-up reminders sent at 3, 7, and 14 days for missing items.

Last business day of the month triggers the close workflow.

AI runs reconciliations across all bank, credit card, and merchant accounts.

Anomalies and exceptions flagged for human review.

Bookkeeper clears the exceptions queue.

Adjusting entries auto-suggested based on prior period patterns.

Senior bookkeeper approves entries.

Books locked, financial reports auto-generated and sent to client.

Scheduled monthly trigger pulls client financial data.

AI generates narrative summary highlighting trends, variances, and concerns.

Visualizations and KPI dashboards auto-built.

Bookkeeper reviews report (5–10 minutes) and adds advisory commentary.

Report sent to client via email and client portal.

Chatbot follows up: "Any questions about this month's numbers?"

Daily transaction sync from all client accounts.

AI scans for anomalies: duplicate payments, unusual vendors, amount outliers, timing anomalies.

Risk scoring applied to each anomaly.

High-risk items pushed to bookkeeper's daily queue.

Bookkeeper investigates and resolves.

Resolution feedback trains the model to reduce false positives.

Tax season trigger pulls full-year transaction data per client.

AI categorizes transactions against tax-relevant buckets — deductible, capital, payroll, etc.

AI assembles the tax preparation packet: P&L, balance sheet, supporting schedules.

Missing documents flagged with specific request to the client.

Chatbot collects remaining items from client.

Bookkeeper reviews packet, hands off to accountant.

Packet delivered to accountant via secure portal.

Recurring tasks auto-generated based on client engagement schedules.

Tasks intelligently assigned based on bookkeeper capacity and skill.

Real-time dashboard shows progress, blockers, and at-risk deadlines.

AI flags bottlenecks and suggests reallocation.

Manager reviews exceptions and reassigns as needed.

Completed tasks logged for audit trail and capacity planning.