End-to-end accounts payable automation from invoice receipt to ERP posting, with a finance team member touching a keyboard only for genuine exceptions that require judgement. Invoice capture: an email inbox monitor processes every invoice-containing email as it arrives; a shared document portal accepts drag-and-drop uploads from vendors and internal requestors; EDI feeds from suppliers with structured invoice formats bypass extraction entirely. AI extraction using Azure Document Intelligence or AWS Textract reads vendor name, invoice number, date, line items with quantities and unit prices, tax amounts, payment terms, and total -- then GPT-4o validates the extracted fields against expected patterns for that vendor and flags anomalies before matching begins. Three-way match logic: invoice line items matched against the open PO (by PO number or vendor + approximate amount) and the goods receipt record; tolerance rules configurable per vendor and per category (e.g., 2% variance acceptable for freight invoices, 0% for fixed-price services). Discrepancy routing: invoices failing match are routed to the purchasing manager who raised the PO with the invoice, PO, and variance highlighted side-by-side -- approver responds via email or the approval portal; their decision is logged with timestamp and user ID. NetSuite, SAP, Xero, QuickBooks, and Sage ERP posting via API: approved invoices written to the correct vendor account, cost centre, and tax code with the PO reference attached -- no re-keying. Typical outcome: 80-90% of invoices processed straight-through; finance team reviews only the 10-20% with genuine discrepancies.

Accounts receivable automation that reduces debtor days and collection overhead without a credit controller manually tracking each outstanding invoice. Dunning sequence configuration: reminder emails sent at configurable intervals relative to due date (30 days prior for large invoices, 14 days for standard, 7 days and due date for all), with email templates differentiated by customer tier (key accounts receive a softer tone; overdue accounts receive escalating urgency) and populated from the invoice data in your accounting system. Overdue invoice escalation: invoices unpaid after a configurable days-overdue threshold are automatically assigned to a collections workflow -- task created in the credit team's queue with invoice aging, payment history, and outstanding balance pre-populated; escalation notes logged against the customer record. Payment received triggers: when a payment is recorded in your bank feed or accounting system, the corresponding invoice is marked paid, the open AR aging report updates, and a remittance confirmation email is sent to the customer automatically. Customer credit limit monitoring: when a customer's outstanding balance approaches their credit limit, the sales team is notified before the next order is placed rather than after the credit block has already interrupted a transaction. Integration with Xero, QuickBooks, NetSuite, and Sage via API for invoice aging data and payment posting. Debtor days reporting updated daily: current DSO (Days Sales Outstanding) by customer, by region, and by customer tier -- the metric that shows whether the automation is driving the intended improvement in collection velocity.

Daily bank reconciliation that runs automatically on a schedule rather than during your finance team's last week of the month. Bank transaction feed connections: Open Banking APIs (Plaid, TrueLayer) for real-time transaction data in supported regions; bank-provided SFTP exports in BAI2, SWIFT MT940, or OFX format for institutions without Open Banking API access; direct data feeds for businesses already receiving transactions via their treasury management system. Matching algorithm: exact-match pass first (transaction amount, date, and reference number matching an unreconciled accounting entry exactly); fuzzy-match pass second for transactions where the reference number differs slightly or the date falls within a configurable tolerance window (useful for float timing differences); amount-based match as a final pass for transactions where references are absent. Match confidence scoring: high-confidence matches cleared automatically; medium-confidence matches surfaced with the candidate accounting entry highlighted for one-click approval; low-confidence unmatched transactions queued for manual investigation with the transaction details and any similar entries as context. Reconciliation status dashboard: each bank account showing matched percentage, outstanding unmatched transactions, oldest unmatched item date, and trend over the past 30 days. Period-end reconciliation report generated automatically: unmatched items, unexplained timing differences, and cleared balance per account in the format your auditors require -- produced in under 60 seconds rather than assembled over a day. Multi-currency reconciliation: foreign currency transactions converted at the appropriate exchange rate with rate source documented for audit purposes.

Expense submission, validation, approval, and ERP posting automated end-to-end so corporate card spend and reimbursement requests flow through without a finance team member manually checking policy compliance or re-keying amounts. Submission channels: mobile app photo of receipt with OCR extraction (vendor, date, amount, tax); email forwarding of digital receipts and invoices; bulk upload for employees filing monthly after a business trip. Receipt extraction using Azure Document Intelligence: vendor name, transaction date, total amount, line items where available, and tax amount extracted with confidence scoring -- low-confidence extractions flagged for the submitter to correct before policy validation runs. Policy engine: configurable rules per expense category (daily meal limit, hotel rate cap, airline class restrictions), per employee level (different limits for senior management vs. field staff), per project code (some project budgets have specific vendor restrictions), and per country (local per diems applied for international travel). Policy violations surfaced with the specific rule breached: "Hotel rate £285 exceeds the UK executive limit of £250 per night -- please attach manager approval or rebook." Approval routing by amount threshold and cost centre: expenses below £50 auto-approved for standard categories; expenses above £500 routed to line manager; expenses charged to specific project codes routed to the project manager. Corporate card transaction matching: when an approved expense submission matches a corporate card transaction in the bank feed, the two are linked automatically and the ERP posting includes both the card charge and the receipt reference.

Automated management reporting pipelines that pull data from your accounting system, ERP, and operational databases each night and deliver formatted reports to the right recipients by the time they start work -- eliminating the analyst time spent on export, transform, and format work that consumes 2-3 days before a number can be analysed. Data extraction: direct API connections to NetSuite, Xero, QuickBooks, Sage, and SAP pulling trial balance, transaction detail, and budget data on a scheduled cadence; supplementary operational data (headcount from HRIS, sales pipeline from CRM, production output from ERP) joined in the reporting pipeline alongside financial data. Transformation layer using dbt or Python pandas: accounts grouped to P&L and balance sheet line items per your chart of accounts mapping; prior period and budget comparisons calculated; KPI metrics (gross margin %, revenue per employee, DSO, inventory turns) computed from component figures. Report generation: WeasyPrint or Puppeteer for PDF board packs and management accounts; openpyxl for Excel files where finance teams need to work with the underlying data; live dashboards in Metabase or a custom Next.js interface for operational teams who need daily visibility rather than monthly PDFs. Variance alerting: when any P&L line item deviates more than a configurable threshold from budget or prior period, an alert fires to the finance controller and the relevant budget owner before the scheduled report delivery -- giving the finance team the heads-up to investigate before the management meeting.

Month-end close task management that replaces the shared spreadsheet and the daily "what's outstanding?" emails with a single dashboard showing every close task, its owner, its dependencies, and its current status. Close task sequencing: tasks defined with prerequisite relationships so the AP close task only becomes available to complete after the final invoice run has posted; the consolidation task only activates after all entity reconciliations are approved -- the dependency chain that prevents out-of-order completion causing rework. Task types and completion criteria: bank reconciliations complete when the system detects a reconciled bank statement for the relevant account; accrual tasks complete when the journal entry reference is provided; management accounts complete when the CFO marks the document approved. Automated task triggers: when the period closes in the ERP, the close workflow automatically creates that period's task list, assigns tasks to their configured owners, and starts the due date countdown -- no manual creation required each month. Blocker detection and escalation: if a predecessor task is overdue, the dependent tasks are flagged as blocked and the finance controller is notified with the specific blocker and its owner. Multi-entity consolidation workflow: entity controllers complete their individual close steps before the group consolidation tasks unlock; intercompany elimination balances generated automatically from the entity trial balances and surfaced for the group controller to approve. Close cycle timing analytics: each task's completion time logged against the calendar, building a 12-month history that shows where the close consistently runs late and which tasks are blocking cycle-time improvement.