Reduce latency across P2P, O2C, and close by addressing issues as they arise, not after period-end.
Maintain audit discipline and segregation of duties while gaining live insight into transactions, balances, and exceptions.
Base forecasts and scenarios on current execution signals, not retrospective reports.
Inbound LPOs were processed directly from emails, validated, reconciled, and synced with SAP through structured, audit-ready workflows
Invoice capture, matching, approvals, and exception handling now run as a single connected finance workflow with consistent controls and audit visibility…
Tax responses are generated using historical filings and financial data, producing consolidated drafts aligned with existing tax and finance processes…
Large volumes of expense data are structured, categorised, and analysed to surface anomalies and optimisation insights through dashboards
It helps reduce manual work like data entry, reconciliations, report preparation, and chasing information. This gives finance teams more time for analysis and decision-making.
It summarizes information, highlights exceptions, prepares draft reports, and makes it easier to find answers to questions without digging through multiple systems.
No. The assistant supports by giving insights and suggestions, but finance professionals still make all final decisions and own the outputs.
Yes. It works with the systems you already use, like ERP, general ledger, reporting tools, and spreadsheets, so you don’t have to replace anything to start seeing benefits.
By handling repetitive tasks like matching data and checking for inconsistencies, it reduces manual errors and makes financial outputs more reliable.
It helps organize audit trails, document decisions, and flag potential compliance gaps, making audit preparation easier and more transparent.
Teams often see improvements soon after deployment in areas like reconciliation time, report turnaround, and visibility into exceptions.
Yes. The assistant can bring data together, highlight trends, and help teams generate more informed projections and what-if scenarios.
Yes. Enterprise AI assistants follow strict access controls and security standards, ensuring finance data stays safe and compliant with policies.
Look for something that works with your current tools, reduces manual work, improves data accuracy, and helps your team make faster, more informed decisions.
