Your close takes two weeks. Let agents take two days.

Agentic AI handles the reconciliations, close checklists, reporting, and audit-trail work that quietly consumes your finance team's time every single month.

The Finance Agent Loop

Reconcile

Matches transactions across ledgers automatically.

Posts routine entries and tracks the close checklist.

Report

Assembles management and board reporting packs.

Audit

Flags anomalies and keeps a continuous audit trail.

Not manual spreadsheets. Not just ERP software. Something else.

Click each one to see how they actually differ.

A finance analyst re-keys reconciliations in a spreadsheet, the close checklist lives in someone's inbox, and anomalies usually surface only when a reviewer happens to notice a number that looks off.

✕Reconciles accounts across systems automatically

✕Flags anomalous transactions before period close

✕Assembles board/management reporting packs automatically

✕Maintains a continuous, audit-ready trail

The ERP logs every transaction and keeps a system-of-record trail — but reconciliation, close-checklist tracking, anomaly detection and reporting still mean someone pulling reports and building the pack by hand.

✕Reconciles accounts across systems automatically

✕Flags anomalous transactions before period close

✕Assembles board/management reporting packs automatically

✓Maintains a continuous, audit-ready trail

Agents reconcile transactions across entities and systems, post routine journal entries, flag anomalies before they reach the board pack, and assemble reporting and audit evidence continuously — not the week everything is due.

✓Reconciles accounts across systems automatically

✓Flags anomalous transactions before period close

✓Assembles board/management reporting packs automatically

✓Maintains a continuous, audit-ready trail

Across multi-entity structures common in the UAE and wider GCC, multi-currency consolidation, VAT compliance, and DIFC/ADGM or onshore audit requirements add real complexity on top of a standard close — agentic AI absorbs that grind so finance teams stay focused on analysis, not re-keying.

How It Works

Five ways agentic AI shows up in finance.

Click any step to see it in more depth.

Agents auto-match bank, ERP and subledger records across entities, flagging only genuine breaks for an analyst to review instead of every line item.

Agents post routine and recurring journal entries and track close-task completion in real time, so the team walks into close week already ahead.

Agents scan management accounts against prior-period and budget baselines, flagging unusual swings and tracing them back to source before they reach a reviewer.

Agents assemble multi-entity management and board packs from live ledger data, cutting the days normally spent copying numbers between spreadsheets.

Agents maintain continuous, sample-ready documentation and chase down missing approvals directly, so an audit request doesn’t trigger a scramble.

See It In Motion

Watch a finance agent actually work.

Pick a scenario, then run it. This is a simplified illustration of the mechanism, not a specific client's real system.

Close the books two weeks early

See this built for your finance team →

Illustrative Example

The scenario below is a composite, illustrative example built from patterns Neural Horizons AI sees across finance engagements in the region — not a specific named client, and figures are illustrative rather than audited results.

A multi-entity group across the UAE and wider GCC

The challenge: The organization's month-end close routinely ran 12 working days, with reconciliations re-keyed by hand across four entities and anomalies usually caught only once they reached the board pack.

The approach: Neural Horizons AI deployed a close and reconciliation agent layer integrated with the group's ERP, handling transaction matching, routine journal postings, and anomaly detection before routing genuine exceptions to the finance team.

67%

reduction in close-cycle length

94%

of transactions auto-reconciled without manual review

5 weeks

from kickoff to first live agent in production

“We stopped losing the first two weeks of every month to re-keying and chasing exceptions. The agents surface what actually needs a human, and our team finally has time to look forward instead of backward.”
— Group Financial Controller

If your close is taking longer than it should, or exceptions are surfacing later than they should, talk to Neural Horizons AI about what agentic AI could take off your finance team's plate.