Accounting Automation

Accounting Automation

The use of software, artificial intelligence, and connected data feeds to perform routine bookkeeping, reconciliation, and reporting tasks with little-to-no human touch, freeing finance teams to focus on analysis and strategy.

The use of software, artificial intelligence, and connected data feeds to perform routine bookkeeping, reconciliation, and reporting tasks with little-to-no human touch, freeing finance teams to focus on analysis and strategy.

The use of software, artificial intelligence, and connected data feeds to perform routine bookkeeping, reconciliation, and reporting tasks with little-to-no human touch, freeing finance teams to focus on analysis and strategy.

Key Facts

  • Alternate names: automated bookkeeping, touchless accounting, hands-free close

  • Typical tasks automated: journal entry creation, bank & card feed imports, GL reconciliation, expense categorisation, intercompany eliminations, revenue recognition schedules, financial-statement consolidation

  • Core technologies: API bank feeds, robotic process automation (RPA), rules-based engines, AI/ML anomaly detection, optical character recognition (OCR), continuous close platforms, low-code integrations

  • Primary systems involved: ERP/GL, AP & AR automation tools, expense-management apps, payroll systems, BI/reporting suites

  • Key metrics: close-cycle length, auto-reconciled transaction %, manual journal entries per month, cost per transaction, audit-adjustment rate

Why It Matters

  1. Speeds the close – Automated postings and reconciliations trim month-end from weeks to days, enabling near-real-time financial insight.

  2. Cuts costs & errors – Machines key data once; no re-typing means fewer fat-finger mistakes and up to 70 % lower processing costs.

  3. Strengthens compliance – Built-in controls and audit-trail logging bolster SOX, GDPR, and IFRS/GAAP adherence.

  4. Frees talent for value-add work – Accountants shift from transaction processing to forecasting, scenario modelling, and decision support.

Real-World Examples

Global SaaS Provider
Implements continuous-close software that auto-reconciles Stripe and bank feeds hourly. Month-end close drops from 10 to 3 days, while finance reallocates two FTEs to strategic pricing analysis.

Mid-Market Manufacturer
Deploys RPA bots to pull and post freight invoices, match them to shipment data, and create accrual entries. Manual touchpoints fall by 85 %, and freight-cost variances surface daily instead of monthly.

Diagram / Visual (optional)

A pipeline: Source Feeds (Bank, AP, AR, Payroll) → Rules & AI Engine → Auto-Post to GL → Continuous Reconciliation → Dashboards & Reports.

Related Terms

  • Automated Invoice Processing

  • Procure-to-Pay (P2P)

  • Continuous Close

  • Robotic Process Automation (RPA)

  • Audit Trail

Frequently Asked Questions

Q: Does accounting automation replace human accountants?
A: No—software handles repetitive tasks, while humans interpret results, manage exceptions, and provide strategic insight.

Q: How automated can the month-end close really get?
A: Best-in-class finance teams achieve 70 %–90 % touchless transactions and can close books within 2-3 days of period end.

Q: What’s the first step to adopting automation?
A: Start with high-volume pain points—e.g., bank reconciliations or expense coding—then layer on rules engines and RPA before tackling advanced AI analytics.

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