Close & Consolidation
Cycle time, journal volumes, top-side entries, and where the close actually breaks each month.
A controller-led diagnostic to expose where the close breaks, where controls thin, and where the operating model is not yet ready for AI. Use it before you invest — or before the board asks why the last investment did not land.
You cannot transform what you have not honestly measured. Start with the current state.
Cycle time, journal volumes, top-side entries, and where the close actually breaks each month.
Structural vs analytical books, dimension discipline, and whether the CoA supports the business you run today.
Written policies, judgments, thresholds, and how decisions are traceable to a rule rather than a person.
Contract data, performance obligations, variable consideration, and manual overrides at cutoff.
Billing accuracy, collections cycle, disputes, and reconciliation between billing, cash, and the ledger.
Three-way match, approvals, accruals, duplicate risk, and vendor master hygiene.
Cost allocation, intercompany recharges, equity and benefits accounting, and month-end true-ups.
Capitalisation policy, useful lives, impairment triggers, and IFRS 16 / ASC 842 completeness.
Costing method, standard vs actual variances, cut-off, and physical-to-book reconciliation.
Transfer pricing, in-transit balances, elimination discipline, and unresolved differences at close.
Functional currency determination, remeasurement vs translation, CTA, and hedge documentation.
Direct, indirect, and transfer pricing exposure. Provision process, deferred tax, and evidence for audit.
Bank reconciliations, forecast accuracy, liquidity visibility, and covenant reporting.
Coverage, aging of open items, certifier independence, and how exceptions are actually cleared.
Key controls documented and operating, segregation of duties, and control failures actually remediated.
Systems of record, integration health, master data ownership, and where spreadsheets bridge broken pipes.
Management pack, KPI definitions, single source of truth, and time spent producing vs interpreting.
PBC lists, evidence trails, sample response time, and recurring audit findings.
Roles, spans, offshore/BPO scope, capacity, and where senior time is trapped in low-judgment work.
Which conditions are in place — data, process, governance, policy, controls, and controller ownership.
AI does not compensate for a missing foundational stage. The scale makes the gap between where you are and where AI can act clear and defensible.
Work happens in spreadsheets and email. Knowledge lives in people.
Systems exist but processes still run around them.
Repeatable tasks run without intervention. Exceptions still require heroics.
Policy, controls, and evidence are wired into the process by design.
AI acts within governed guardrails. Humans supervise judgment, not clicks.
The PDF includes the complete diagnostic, the 1–5 maturity scoring, and a printable heatmap for your controller and CFO.
Two weeks. One honest picture. A prioritised path to a governed, AI-ready finance operation.