Trusted AI record-to-report for finance closes
Discover Trusted AI Record-to-Report with Kognitos, ensuring accurate and reliable financial automation.
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Session FAQ
Record-to-report (R2R) spans every step between a business transaction and a published financial statement: transaction recording, subledger-to-general-ledger reconciliation, journal entry posting, account certification, intercompany elimination, and management and regulatory reporting. It is the backbone of the financial close cycle. Any bottleneck in R2R delays the close and reduces confidence in reported numbers.
AI agents replace the manual steps that dominate close timelines: pulling data from multiple ERPs, matching and reconciling accounts, drafting standard journal entries, and chasing approvals. Kognitos agents run these steps in parallel, 24/7, using deterministic policy so every decision is auditable. Controllers in production have reported cut close times by more than half compared to manual or rules-only RPA approaches.
Virtually every repeatable task in the close checklist is a candidate: subledger reconciliations, accrual postings, prepaid and fixed-asset roll-forwards, bank and credit-card reconciliations, intercompany netting, and trial-balance tie-outs. Kognitos encodes the policies governing each task in plain English, runs them against live ERP data, and escalates exceptions to the human team rather than guessing.
Kognitos uses a neurosymbolic architecture: an LLM reads and interprets unstructured source documents (invoices, bank files, contracts) while a deterministic symbolic layer applies your coding and approval rules. The journal entry is produced by the rules layer, not by the LLM, which means the result is repeatable and traceable. Every entry is linked to its source document and the policy rule that drove it, giving auditors a full evidence trail.
Yes. Kognitos agents compare actuals to budget or prior-period benchmarks, compute variances, apply your materiality thresholds, and draft narrative explanations for each significant line. Finance teams review a prepared variance pack instead of building one from scratch. The agent flags anomalies that exceed thresholds for human review while auto-certifying lines that are within tolerance.
Intercompany reconciliation requires matching payables and receivables across legal entities that may run different ERP instances or chart-of-accounts structures. Kognitos agents extract the relevant balances from each system, apply the intercompany matching rules written in plain English, identify mismatches, and create a resolution workflow that routes discrepancies to the right teams. The output is an elimination-ready schedule with supporting documentation attached.