Your finance team,
doubled overnight.

Six AI agents handle the work that keeps your team up late — categorizing transactions, reconciling bank feeds, chasing unpaid invoices, drafting reports. They read every line, show their reasoning, and ask before anything moves.

24/7

Always running

6

Specialist agents

99.2%

Decision accuracy

AI is analyzing
Decision ready in 1.2 seconds
Live
A new charge just hit your bank
PT NUSANTARA SUPPLIER Rp 6.800.000
14 Nov 2026 · 10:32 · via BCA
What the AI checked
It's your usual supplier — Nusantara
You've paid them 11 times before (avg Rp 6.4M)
Amount looks normal (within 6%)
Not a duplicate
Filed under
94% confident
Cost of Sales → Inventory & Supplies
Filed for you. Done.
0.4 seconds total

Six finance jobs. Done automatically.

Here's exactly what your AI team takes off your plate every day. Each one runs on its own — you only step in when something needs your call.

Sort every transaction

Every purchase gets put in the right category — supplies, rent, marketing, payroll. Asks before guessing on anything unusual.

Saves you ~12 hrs / month

Match your bank to your books

Every charge in your bank account gets paired with the right invoice or expense. If something doesn't match, it's flagged for you.

Saves you ~8 hrs / month

Chase the customers who haven't paid

Sends polite reminders for every overdue invoice, in your tone. Knows to stop the moment a customer pays.

Brings back avg Rp 87M / week

Catch the costly mistakes

Spots double payments, oddly large charges, and bills that don't fit your usual pattern — before any money leaves.

Saves you avg Rp 47M / quarter

Write your monthly report

Your profit and loss, cash position, and where your money went last month — written in plain English, ready by 8am on the 1st.

Saves you ~4 days / month-end

Get you ready for tax season

PPN summaries, tax-ready exports, and a clean record of every receipt — so when your accountant asks, the answer is two clicks away.

Saves you ~2 days / quarter
All six together: about 32 hours back every month.
That's 4 working days you spend on running your business instead of bookkeeping.

A Tuesday in November.

Here's what your team gets done while you're in meetings, on Slack, or asleep. Real timestamps, real actions.

06:00
Sorted overnight transactions
68 entries from BCA, Mandiri, Stripe — auto-tagged in 4 minutes
07:30
Matched bank statements to invoices
247 lines matched — 3 mismatches queued for your review
09:15
Sent polite payment reminders
3 polite nudges out the door — Sembrani Group, Pelangi Studio, Cikal Apparel
11:00
Flagged a possible duplicate payment
Same supplier billed twice this week — sent you a quick note to confirm
13:00
Sorted team lunch receipts
5 receipts came in via WhatsApp — filed under Client Meetings
15:30
Escalated an overdue invoice
Indra Catering — 17 days overdue, Rp 24M. Wrote a firmer follow-up for you to review
18:00
Drafted tomorrow's daily summary
Cash on hand, top 5 suppliers paid, where money went — ready in your inbox
23:00
Filed today's receipts and bills
68 invoices, 23 receipts, 14 bank statements — saved for 7 years if your accountant asks
End of day: 1,284 actions completed
Your input needed on 2 items — about 4 minutes of your time

Today at a glance

Live
Actions completed 1,284
Hours saved 6.4
Mismatches caught 3
Items needing you 2

24-hour activity

UTC+7
00040812162023

Currently active

Drafting payment reminder
For Indra Catering · 17 days overdue
Watching for unusual charges
All quiet so far today
Saved you today
6 hours
vs. doing this work manually. Roughly your full afternoon back.

One charge. One smooth flow. No clicks from you.

A new bill lands at 10:48. By 10:51 it's sorted, checked, matched to your bank, and on your books — without you touching a thing.

Step 1 — 10:48
Receipt arrives

Forwarded by ops via email. Office Mart Jakarta, Rp 555.000.

Step 2 — 10:49
It gets sorted

Tags it Cost of Sales → Inventory. 99% sure.

Step 3 — 10:49
Then verified

Checks supplier history. No duplicates, amount looks normal.

Step 4 — 10:50
Then matched

Pairs it with the BCA debit at 10:32. Your books are up to date.

Step 5 — 10:51
Then logged

Added to this month's report. Done.

From inbox to ledger in 3 minutes. You did nothing.

What you get back.

Real numbers from real teams running FluxyOS for six months or more.

32 hrs
saved per month
vs. manual data entry and reconciliation
99.2%
categorization accuracy
after one week of learning your books
4.2 days
faster month-end close
because the books are always current
Rp 47M
avg. recovered per quarter
duplicates caught + faster collections

Hiring two more accountants would have cost us Rp 480M a year. The agents do the same work, and they don't quit when payroll runs late. Honestly, our finance team is finally getting home before 8pm.

AP
Anita Prasetyo
CFO • Bumi Kreatif Group

Frequently asked questions

Quick answers to what people usually ask before signing up.

What are FluxyOS AI Agents?

FluxyOS AI Agents are six specialized AI workers that automate the most time-consuming finance tasks — bank reconciliation, transaction categorization, invoice collection, anomaly detection, monthly report drafting, and tax-ready exports. They run 24/7 and ask before any money moves.

Do the AI agents replace my finance team?

No — they hand off the routine work so your finance team can focus on judgment calls and strategy. Most teams need 4 minutes per day to review what the agents flagged. Hiring two more accountants would cost roughly Rp 480M/year; the agents do the same routine work without payroll.

How accurate is the AI?

After one week of learning your chart of accounts, the AI achieves 99.2% transaction categorization accuracy. Anything below 90% confidence is automatically flagged for human review, so silent mistakes don't end up in your books.

Will it work with my Indonesian chart of accounts?

Yes. The AI learns from your existing chart of accounts — including custom categories like 'Biaya Bahan Baku' or 'Operasional Outlet'. It adapts when you correct its tags, getting better over time.

Is my financial data safe?

FluxyOS uses bank-level encryption for all connections. Bank feed access is read-only, meaning the AI can see transactions but cannot move money without your explicit approval. All data is stored in compliance with Indonesian data protection requirements.

What languages does the AI support?

The AI works in both English and Bahasa Indonesia, including local vendor names and Indonesian business terms. Reports can be drafted in either language depending on your team's preference.

Hire your first six agents before lunch tomorrow.

No training, no onboarding, no payroll. Connect your bank, point them at your chart of accounts, and watch them get to work.