The cost hides between your systems
Most companies already pay for a CRM, an ERP, email, a messenger and a few spreadsheets. Each one works. The cost sits in the gaps: a person reads an order email, copies it into the ERP, checks the customer in the CRM, confirms stock, then messages the warehouse and replies to the customer.
None of those steps needs judgment. All of them need someone’s time, every day, and every copy is a chance to get a number wrong. That is the work AI automation is good at.
Every container here is an order that passed through several systems, and several people, before it moved.
Put a price on one workflow
Before you talk about tools, price the work. Pick one workflow and count four things.
| What to count | How to get it | Example |
|---|---|---|
| Hours a week | Ask the people who do it, or time it for a week | 2 people × 10 hours |
| Cost of an hour | Salary plus overheads, divided by working hours | ₩25,000 |
| Errors a month | Wrong orders, missed updates, re-sent invoices | 4 |
| Cost of one error | Rework, refunds, a lost customer | ₩300,000 |
In this example the handoffs cost 20 hours × ₩25,000 × 52 weeks, which is ₩26,000,000 a year, plus 48 errors × ₩300,000, another ₩14,400,000. The figures are only an illustration; yours will differ. The point is to have a number you agree with before anyone builds anything.
What automation takes over, and what stays with people
Hand over the handoffs
- Reading incoming orders, requests and documents, and pulling out the details.
- Looking up the customer, price, stock and delivery date in the systems you already have.
- Creating and updating records in the CRM and ERP.
- Sending confirmations, reminders and status updates.
- Chasing missing answers and moving the process on.
Keep the decisions
- Approvals above a limit you set, such as orders over ₩3,000,000.
- Payments, refunds, contracts and complaints.
- Anything unusual. The system flags it and waits for a person.
Good automation doesn’t remove people from the process. It removes the copying, so people spend their time on the cases that need them.
Is your workflow ready?
Good signs
- It happens often and in volume: dozens of times a week, not twice a month.
- People move the same data between systems by hand.
- It runs on digital data and fairly clear rules.
- Mistakes are costly or embarrassing.
- Most cases could run on their own, apart from a few exceptions.
Not ready yet
- The data is chaotic or nobody owns the process. Automation will copy the chaos faster.
- Every case is different and needs an expert’s judgment.
Measure before you start
Write down the baseline while the work is still manual: hours spent, cost per order, errors, how long a customer waits for an answer, and how many cases the team handles a day. Then agree what success means, for example halving the hours or answering within ten minutes. Without the baseline, nobody can say whether the automation paid for itself.
Where the savings come from
- Time back. The hours spent copying go to customers, sales and the exceptions.
- Fewer errors. Data is entered once and checked against your systems, not retyped.
- Faster answers. Orders are confirmed while the customer is still waiting, not the next morning.
- Growth without hiring for handoffs. More orders don’t automatically mean more people moving data around.
A first step you can take this week
- List three workflows your team repeats every week.
- Write down which systems each one touches.
- Price the one with the most hours, using the table above.
- Agree the baseline and what success looks like.
- Start with that one workflow as a pilot. Expand only once the numbers hold.
If you want a second opinion on which workflow to start with, tell us about it. We’ll say honestly whether it is worth automating.
