Month-end close cut from five days to one, running in real time on Oracle AI Agent Studio. Agents reconcile, accrue, match intercompany and draft the variance commentary, and controllers review exceptions instead of building the close.
Five days of checklists, spreadsheets and chasing, repeated every month with the same bottlenecks.
Bank, subledger and balance sheet reconciliations are prepared manually and reviewed late.
Mismatched intercompany balances hold up consolidation until the last day.
Variance explanations for management are drafted under pressure after the numbers finally settle.
Reconcile, adjust and report run in parallel instead of in sequence.
Bank, subledger and balance sheet reconciliations prepared continuously, with every difference explained or escalated.
Accruals proposed from open POs and contracts, and intercompany balances matched across entities before consolidation.
A real-time close tracker for every task and owner, and variance commentary drafted as soon as numbers settle.
A walkthrough of the agents at work: what they see, what they decide, and where people stay in control.
AITHENTIC demo · YouTube
Every agent follows the same five steps, so behaviour is predictable and every step leaves evidence.
General ledger, subledgers, bank statements, open POs, contracts, intercompany balances and the close calendar in Oracle Fusion.
Reconciles balances, identifies differences, matches intercompany and tests accruals against evidence.
Clears what matches within tolerance, and decides which exceptions need a controller and which journals to propose.
Posts approved entries, updates the close tracker in real time and drafts the variance commentary.
Learns recurring differences and accrual patterns so next month starts with fewer exceptions.
No single agent both proposes and approves. Each one has a narrow job, its own tools and its own permissions.
Runs the close calendar, tracks every task and owner, and escalates anything at risk of slipping.
Prepares bank, subledger and balance sheet reconciliations and flags unexplained differences.
Proposes accruals from open POs and contracts and matches intercompany balances across entities.
Explains movements against budget and prior period, citing the journals behind each one.
Speed comes from autonomy. Trust comes from the three things around it. This is how each is designed into Agentic Month-End Close.
Reconciliations, matching, tracking and commentary drafting run continuously through the month and the close window.
The close calendar, materiality, journal approval limits and segregation of duties mirror the existing Oracle controls.
Every reconciliation, proposed journal and commentary line links to the source transactions and supporting evidence.
Controllers approve journals and period sign-off stays with the CFO; tolerances are owned by finance.
Bands are agreed with the business before go-live and widened only on evidence from the pilot.
| Action | Autonomy | Accountable owner |
|---|---|---|
| Prepare reconciliations and flag differences | Acts autonomously | Financial controller |
| Match intercompany balances within tolerance | Acts autonomously | Group reporting lead |
| Track close tasks and escalate delays | Acts autonomously | Financial controller |
| Propose accrual and adjustment journals | Recommends | Financial controller |
| Post journals above the approval limit | Human approves | Finance manager |
| Sign off the period close | Assists | CFO |
Success metrics are agreed before build and signed off with the client after the pilot.
| Metric | Target | How we measure |
|---|---|---|
| Days to close | 5 → 1 | Last day of period to close sign-off |
| Reconciliations prepared automatically | Tracked | Share of accounts reconciled by agents |
| Intercompany differences at close | Down vs baseline | Unmatched balances on close day |
| Post-close adjustments | Down vs baseline | Journals posted after sign-off |
Pilot results are company-reported and engagement-specific. Figures and names in decision records are illustrative.
Agentic process reengineering, one workflow at a time.
Map how the workflow really runs today, with owners, data lineage and the tacit rules.
Agree the business outcome, the baseline and the success metrics before build.
Redesign for agent-first execution: agents, tools, rules and autonomy bands.
Pilot inside your controls, train owners and move bands only on evidence.
Measure against the baseline and report the result the business signed off.
One governed platform for a 13 + 1 entity group.
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View use caseBook a working session with our team in Dubai, Riyadh or the UK. We will map the workflow, agree the metric and show the agent running on data like yours.