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AI agents · Virtual staff by QBIS

Hand the routine to virtual staff.
The decisions stay with you.

Virtual staff take a role, work on live data and report back: collecting receivables, chasing tour deposits, closing the day's numbers.

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On duty 24/7, 38% less repetitive manual work, 98% context accuracy, always within permissions.
How it works

Morning brief, evening report.

Each role has the data scope, script and approval thresholds you set.

Repetitive work? Let virtual staff do it.

Each role works on live data and reports results in numbers.

Virtual staff · today
RC
Receivables collectionReminded 24 customers on Zalo, collected $7,400, 3 promised to pay
Running
TD
Tour deposit reminders9 bookings near the deposit deadline, reminder with a link proposed
Awaiting approval
EOD
End-of-day closeRevenue $6,500, stock matches the books, report at 18:05
Done

Observe, reason, act, with a human sign-off.

Watches events, checks them against your rules, then acts; purchases and payments wait for your approval.

Activity log · Warehouse agent
Observe: iPhone 15 stock below thresholdStock data · 09:12
Detected
Reason: forecast to sell out in 4 days7-day sales velocity
Proposed
Act: purchase request PO 514 created120 units, 2-day delivery
Pending
Approve PO 514 before it goes to the supplierhuman-in-the-loop
Virtual staff roles

One virtual colleague per industry.

The first three run from day one on the data you already have.

01
Receivables collection Day 1

Reads overdue debt, reminds on Zalo, logs promises, updates accounting.

Overdue·Zalo·Promises·Report
02
Tour deposits and holds Day 1

Sends a pay link before deposits lapse, reconciles, confirms the seats.

Booking·Deposit·Link·Match
03
Delivery tracking Day 1

Spots late orders, checks with the warehouse, gives customers a new ETA.

Late·Stock·Carrier·Customer
04
Post-service surveys

Zalo survey after service, totals scores, flags bad reviews to managers.

Garage·Hotel·Spa·CSAT
05
End-of-day close

Totals store revenue and stock, matches the books, reports on time.

Revenue·Stock·Books·18:00
06
Stock alerts, reorders

Forecasts stock-out dates from sales velocity, drafts purchase requests.

Reorder·Forecast·PO·Approve
07
Lead scoring

Scores leads on interaction history and tells sales who to call today.

Leads·Calls·Offers·Follow-up
08
Role-based assistant

One assistant per department, answering within its process and permissions.

Accounts·Stock·Sales·Access
How it runs

Works alone, stops for you.

1

Observe

Watches real-time events in your QBIS data.

New ordersStock levelsPayments dueCustomer messages
2

Reason

Cross-checks the facts to choose the best course of action.

ContextHistoryBusiness rules
3

Act

Works within its permissions; above a threshold, it waits for approval.

Create tasksSend remindersCall APIsAwait approval
4

Learn and improve

Records results; the more it runs, the closer it fits how you operate.

ResultsScriptsSuggestions
Faster decisions

Managers receive recommendations backed by data instead of compiling reports.

Less delay between the front line and decision makers.
Automated routine work

Debt reminders, deposit reminders and the daily close run every day, with fewer manual steps and errors.

38% less repetitive manual work.
Connected departments

One event triggers the related workflow across sales, warehouse and accounting.

Runs on QBIS POS, Sales, Tour, ERP and HRM data.
Risk under control

Every action follows permissions, logging and approval thresholds, and can be paused at any time.

Safe to roll out company-wide.
Ready to deploy

No in-house AI team needed.

Three steps on the data you already have, with results measured in the first month.

Step 1Pick the priority problem

Choose the process with the most manual steps and set KPIs: hours saved, cash collected, fewer late orders.

Step 2Build and pilot the role

Describe the role in plain words, pilot it with approval steps, adjust the script from feedback.

Step 3Scale with control

Extend to other departments with full permissions and logs, tracking KPIs on a dashboard.

Give virtual staff their first job.

Try it free for 10 days, or let QBIS set up a pilot role on your own data. Hotline +84 24 7306 8956.

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Every question, answered.

How are virtual staff different from a chatbot?
A chatbot answers and stops. Virtual staff take a role and do the work: payment reminders on Zalo, the end-of-day close, a report back.
Can virtual staff send messages or spend money on their own?
No. Reminders from an approved script run on their own; bulk messages, payments and purchases wait for an authorised person to approve in the app.
What data do I need to prepare to get started?
Nothing special. Virtual staff work on the data already in QBIS: orders, receivables, stock.
Do I need an in-house AI team?
No. Describe the role in plain words, as you would brief a new hire; a QBIS specialist sets it up with you, no extra infrastructure.
How do I monitor and control virtual staff?
Every action is logged for audit; virtual staff see only the data their permissions allow, and you can pause them at any time.