Outsourcing versus offshoring: what is the difference, and where does AI fit? 

Outsourcing means another company runs a job for you. Offshoring means the work happens in another country. The first is about who is in control, and the second is about location. A business can do either one without the other, or both at once.

How do they compare?

People use these two words as if they mean the same thing, which makes comparing two quotes harder than it needs to be. A local firm that runs your payroll is outsourcing only. An overseas company that runs your support desk is both. A dedicated overseas accountant who works inside your software, under your review, is offshoring without outsourcing. The last of these is how our Extended Team works.

How do you choose?

• If the job is occasional and can be clearly defined, outsourcing is simple to start.
• If the work is steady and depends on knowing your customers, a dedicated person is usually stronger.
• If you want to see every step and keep the knowledge, keep control of the work.
• If the work involves personal data, check the rules on sending it abroad before you start.

What does AI change?

For decades, a costly manual process had two possible destinations: another company or another country. AI adds a third. Some of the work no longer needs to move to anyone, because software can now do it.

The change is largest in language work, which earlier automation could not touch. An AI front desk can hold a conversation with a caller. AI can read a pile of varied invoices. It can even keep an older person company. We have built AI front desk systems and AI companions for elderly people, and neither would have been practical a few years ago.

So look at the whole process before you decide where to send it. Let AI take the repetitive reading, typing and first replies. Give people the review, the exceptions and the customer relationships. The people who remain matter more, so choose them with care, and not on price alone.

What should you settle before you start?

1. Write down the work as it is done today, including the exceptions.
2. Mark which steps AI can do, which rules can do, and which need a person.
3. Decide who will direct and review the work.
4. Confirm how data will be accessed, stored and removed.
5. Start with one piece of work, then measure quality and turnaround.

Tell us what is giving you headaches. If we are not the right people, we will try our best to find who is, and connect you to them.

Frequently asked questions

These are the questions business owners ask most often about the two models.