How to break the Time-Skill-Money rule with AI

If you've never heard of this "rule," here’s how it works.

Time. Skill. Money. → Pick two to get the third.

Hold up your hands and touch your index fingers together. Now connect your thumbs to make a triangle. Imagine that each edge of the triangle represents an important aspect of your work life: one edge is “time,” another is “skill,” and the third stands for “money.” In order to get any one of these things, you need to give up the other two.

To earn money, you need to share your skills and give up some of your time. This can be as simple as going to work each day or as complex as spending your time researching investments and purchasing stock.

To gain a skill, you need to spend time learning and practicing that skill. This will cost you money, whether that’s for a course or a tutor, or simply the cost of money lost while not working as you focus on practicing a new skill.

To get back time, say for a vacation or other activity (or no activity at all), you need to use your skills and spend some money–or simply reduce your money-earning capacity by not working–so you can gain back time for yourself.

Finance AI breaks the rules?

Finance AI allows you to reverse the pattern by trading money for the skill of an experienced team member (or several) to gain back time for more strategic, high-value work.

Like all automation systems, finance AI costs money to set up. Unlike legacy systems, however, an AI that’s been trained for a decade with deep finance knowledge can mirror the skills of an experienced finance team member. It can make decisions and take independent action. It can process complex expense reports or invoices all the way through, without you needing to touch anything. Its ability to do both mundane and complex document processing tasks in seconds gives you back hours of your time.

2 for the price of 1? Not a bad return on investment.

We think that’s a rule worth breaking.

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