AI agents for finance and accounting,the key numbers checked.
AI for finance and accounting teams can take on the checking work of month-end. In Arclyx, Bank reconciler matches the bank to the ledger, KPI reporter compares the month with the last, and Finance desk hands both jobs out, builds a 30-day cash outlook and posts one summary. All three read your tables and change nothing.
Reconciled: 39 of 41 bank lines matched, 3 exceptions, closing balance $52,310.40.
Two entries to post and one cheque outstanding. Checked against the bank and ledger tables.
You · KPIs
MRR $84,200, up 3% on August. Churned customers up 56%.
Churn is the one to watch. Figures checked against the metrics table.
Key numbers checked against your tables · 3 decisions · assumptions noted
Bank reconciler#finance · 2nd of each month, 9:00
Bank reconciler · September close
Vendor A · In bank, not in ledger
Card payment of $270.00 on 18 Sep, ref 4471, has no ledger entry.
Suggested entry: debit an expense account, credit bank, $270.00. Pick the account from your chart of accounts.
Customer B · Amount differs
Deposit of $4,820.00 on 22 Sep. The ledger has $4,850.00 for INV-1042.
A $30.00 gap. Check the remittance before posting the difference.
39 of 41 bank lines matched · 41 ledger lines · 3 exceptions
KPI reporter#leadership · 1st working day, 8:00
KPI reporter · September
You · Churned customers
14 churned, up from 9 in August (+56%).
Flagged against last month. Probable cause: new customers rose sharply in July, and newer accounts churn first.
You · Trial-to-paid
Conversion 14%, down from 18% (−22%).
Flagged against last month and the 3-month average. Probable cause: it's why new customers fell 12%.
10 metrics · 3 flagged moves · no data gaps
Finance desk
Bank reconciler
KPI reporter
The agents
How can finance teams use AI agents?
On the recurring work that needs checking, not judgement calls. One agent reconciles the bank, one reports the month's KPIs and one pulls month-end together. They work from CSV exports uploaded as tables, so there is no accounting integration to set up first.
2nd of each month, 9:00
Finance desk
On the 2nd, one month-end summary: reconciliation, KPIs and a 30-day cash outlook, with invoices to chase, bills to pay and three decisions.
Finance desk runs the close and hands two parts to helper agents you add on its page. They work at the same time, each hands its result back, and Finance desk checks their key numbers against your tables before it writes the one summary.
01
Finance desk starts
On the 2nd of each month it finds your bank, ledger, KPI and cash tables.
02
Two hand-offs
Bank reconciler matches the bank to the ledger while KPI reporter compares the month.
03
Cash, built and checked
Finance desk builds the 30-day cash outlook and re-checks the helpers' totals.
04
One summary
Reconciliation, KPIs and cash in #finance, with what to chase, what to pay and three decisions.
Safe by design
Is it safe to give an AI agent your financial data?
These agents only read. They run read-only queries on the tables you upload, can't connect to your bank or accounting software, and can't post entries, pay bills or send invoices. Every run is recorded step by step, with a spend ceiling on by default.
Start with the checks you repeat every month and give each one an agent. Here is a finance team's month-end on Arclyx: each step is the sentence that built an agent, then what it posted in Slack. Try it runs a new agent once as a dry run on your real tables first.
The first working day, 8:00 · KPI reporter
“On the first working day of each month, compare last month's KPIs in our metrics table with the month before and the 3-month average, flag anything that moved more than 10%, and post a summary to #leadership.”
#leadership
KPI reporterKPI reporter · September
You · Churned customers
14 churned, up from 9 in August (+56%).
Flagged against last month. Probable cause: new customers rose sharply in July, and newer accounts churn first.
You · Trial-to-paid
Conversion 14%, down from 18% (−22%).
Flagged against last month and the 3-month average. Probable cause: it's why new customers fell 12%.
“On the 2nd of each month, reconcile last month's bank statement against the ledger in our tables, list every exception with a suggested journal entry, and post the reconciled balance to #finance.”
#finance
Bank reconcilerBank reconciler · September close
Vendor A · In bank, not in ledger
Card payment of $270.00 on 18 Sep, ref 4471, has no ledger entry.
Suggested entry: debit an expense account, credit bank, $270.00. Pick the account from your chart of accounts.
Customer B · Amount differs
Deposit of $4,820.00 on 22 Sep. The ledger has $4,850.00 for INV-1042.
A $30.00 gap. Check the remittance before posting the difference.
“On the 2nd of each month, run our month-end: have Bank reconciler reconcile the bank and KPI reporter report the KPIs, build a 30-day cash outlook from our tables, check every number, and post one summary to #finance.”
#finance
Finance deskFinance desk · September close
You · Reconciliation
Reconciled: 39 of 41 bank lines matched, 3 exceptions, closing balance $52,310.40.
Two entries to post and one cheque outstanding. Checked against the bank and ledger tables.
You · KPIs
MRR $84,200, up 3% on August. Churned customers up 56%.
Churn is the one to watch. Figures checked against the metrics table.
Software that takes a defined finance job, such as reconciling the bank or reporting the month's KPIs, works from your own data and reports back. In Arclyx each one reads your tables, checks its numbers with queries and posts one summary.
Does it work with QuickBooks or Xero?
Through exports, not a connection. Export the bank statement, ledger or metrics as CSV from QuickBooks, Xero, your bank or a spreadsheet, upload them to Arclyx, and each agent reads them as tables.
Can an AI agent post journal entries or pay bills?
No. Bank reconciler suggests each entry with the debit, the credit and the amount, and Finance desk lists the invoices to chase and the bills to pay. Posting, paying and chasing stay with you.
How do they check the numbers?
With queries on your tables, not a rough reading. Their instructions tell them to check each key number against the source tables, and to say so rather than invent an adjustment when something doesn't tie out.
Is it suitable for a small business?
Yes. It suits a small finance team, or a founder who does the books. Everything works from CSV exports, so there's no integration to set up before the first run.