AI Governance11 min read
A worked finance example showing how to separate AI investigation from deterministic checks, human approval and ERP posting, and what evidence a controller should retain.
Close & Controls8 min read
A practical finance control framework for turning a policy or process into a repeatable control with a clear population, rule, exception, owner, action and evidence trail.
AI Governance10 min read
Anthropic's agent oversight metrics point to a finance question: how should companies measure the coverage, authority, review latency, escalation and cost of an AI workforce?
AI Governance7 min read
As AI agents gain roles, permissions and recurring costs, finance needs to govern their purpose, authority and accountability.
Finance Transformation6 min read
A finance transformation view of carve-outs: accounting, operations, reconciliations, policies, operating model and Day-1 systems readiness must move together.
Controllership18 min read
Rules produce every number, the model writes the story around them, and a named human signs. A practical operating manual for AI-assisted month-end close, the register and the audit file.
AI in Finance6 min read
A finance process is ready for AI when its inputs, rules, exceptions and escalation paths are clear enough for someone new to operate it with limited supervision.
Close & Controls7 min read
A practical framework for deciding when finance needs deterministic rules, an AI assistant or a controlled agentic workflow — illustrated through bank reconciliation.
Close & Controls5 min read
Modern finance operations improve when teams organise work around material exceptions instead of treating every transaction equally.
Close & Controls7 min read
Month-end performance should be judged by whether balances remain stable, exceptions are resolved and the business trusts the result—not only by the declared close date.