Produce accurate books on time.
Prepare reconciliations, track close dependencies, surface missing support, and keep unresolved items visible before the deadline.
We build AI into reconciliation, month-end close and cash reporting so your team spends less time preparing records and more time reviewing exceptions and managing cash. We support rollout and measure close time, labor hours, error rates and cash impact against the agreed baseline.
We focus on the work finance is already responsible for: accurate books, reliable forecasts, cash control and evidence that stands up to review.
Prepare reconciliations, track close dependencies, surface missing support, and keep unresolved items visible before the deadline.
Bring together balances, expected receipts, payments, commitments, and near-term cash requirements.
Prepare actuals, operating drivers, scenarios, and variance analysis so finance can challenge assumptions and advise the business.
Track invoices, follow-ups, approvals, payment timing, disputes, and the exceptions holding transactions open.
Assemble management reporting, operating metrics and commentary, with source evidence for material changes.
Monitor required approvals, preserve support, flag policy exceptions, and prepare evidence for internal and external review.
AI prepares reconciliations, gathers supporting records and flags exceptions for finance to review. Your team can check the source evidence, resolve discrepancies and approve the accounting or cash decision.
Collect transactions, documents, requests, and system changes.
Prepare the records and context required for the finance task.
Compare values, entities, policy, and expected financial state.
Complete routine work and prepare unusual cases for review.
Route financial judgment and consequential decisions to people.
Update systems, preserve evidence, and confirm the result.
The boundary is defined from your policies, materiality thresholds, approval structure, and tolerance for automation.
We choose the first workflow with your finance team, based on recurring volume, measurable cost and access to the records needed to test it.
Track close status, prepare reconciliations and support, surface blockers, and assemble review questions before the deadline.
Combine balances, collections, payments, and commitments; flag material changes; and prepare short-term cash scenarios.
Match invoice and payment records, monitor aging, prepare follow-ups and route disputes or missing information to the person who can resolve them.
Bring together actuals and operating drivers, identify material variance, refresh scenarios, and draft explanations for finance review.
Assemble financial and operating measures, preserve their sources and prepare commentary on material changes for leadership review.
Check required controls, identify missing support, preserve decision history, and maintain an audit-ready trail as work happens.
We establish the baseline before building, then compare close time, review effort, errors and cash impact after the team adopts the system.
Fewer days, late dependencies, and unresolved items between period end and review-ready results.
Less time preparing the forecast and a smaller gap between expected and actual performance.
Faster collections, intentional payment timing, and fewer transactions stalled by preventable exceptions.
Fewer discrepancies, missing approvals, unsupported entries, and repeated manual corrections.
An AI Audit establishes its current time, cost, error, and cash baseline, then defines a practical implementation roadmap.
Suppose finance reconciles payments against invoices before close. AI prepares matches and groups missing or conflicting records with their sources. A reviewer confirms the match and decides how to handle each exception; an incomplete record stays unresolved. Payment authorization and journal approval remain with finance.
Test on a closed period before live use. Count missed mismatches, incorrect matches, review minutes per accepted reconciliation and unresolved items at the close deadline. Compare total effort with the same work done manually. A faster draft that creates more correction is not a better close.
Set the finance baseline, assign invoice-workflow ownership and define acceptance tests.