Practical guides for mid-market finance leaders — where AI actually pays off across the close, order-to-cash, and your ERP/data foundation, and how to get there with controls you can trust.
In a McKinsey survey, 44% of CFOs now use gen AI across five or more finance use cases — yet Deloitte finds only ~21% of teams that have fully deployed AI see measurable value. The gap is rarely the model — it is the data foundation beneath it.
Read the guideWhat AI genuinely automates in the close — reconciliations, exceptions, accruals, and flux commentary — with the controls and audit trail a controller can sign off on.
Read the guideIn a Wakefield Research survey of 500 finance decision-makers, 99% of teams using AI in receivables lowered their DSO — three-quarters by six days or more. Here is where in order-to-cash those days actually come from.
Read the guideThe chart of accounts is the first thing AI reads. Five patterns that tangle it, what an AI-ready one looks like, and a six-step cleanup that runs in the ERP you already own — no re-implementation.
Read the guideGartner now names low AI literacy as the top barrier in finance. Why pilots fade, what training that works looks like, and how to build a governed playbook your team owns.
Read the guideEvery engagement starts with a Readiness Assessment — the fastest, lowest-risk way to pinpoint where AI delivers measurable results in your finance and accounting operations.
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