Explore the latest statistics on AI usage in accounting, including adoption trends, measurable use cases, governance challenges, and what finance leaders should know in 2026.
A finance-first guide to SuiteWorld 2026: the keynotes, CPE training, close sessions, the Expo, the labs, the evenings and getting around Las Vegas.
Learn how a model harness helps accounting AI control data, rules, permissions, approvals, validation, and auditability.
See how Ledge lets finance teams built AI accounting agents to execute month-end close tasks, dependencies, approvals, documentation, and audit trails in one workspace.
Deloitte found that 63% of finance teams have fully deployed AI, but only 21% of those using it can point to measurable value. Here are the three decisions the 21% made before they scaled.
Learn how accountants can help teams confidently review and approve AI-generated work with clear standards, controls, training and oversight.
Learn how accounting teams can build confidence reviewing and approving AI-generated work with clear standards, traceability, training and human oversight.
Avoid common mistakes when building AI month-end close agents, from poor workflow design and weak controls to testing, token costs, and failure recovery.
Learn how Ledge makes AI-powered month-end close costs more predictable by reducing token dependency and using flat monthly pricing.
Learn what it takes to build a reliable AI accounting agent, from integrations and controls to testing, human review, auditability, and ongoing maintenance.
When does not using AI become the greater accounting risk? Learn how finance teams can weigh AI risks against manual processes, human error, and delayed closes.
A collection of best practices, emplates, checklists, and worksheets for documenting your month-end close and preparing it for AI accounting agents.
Discover how AI accounting agents help finance teams accelerate the month-end close by automating routine work without sacrificing accuracy, controls, or oversight.
Learn the principles that make AI safe for finance, including explainability, human oversight, traceability, and auditability.