AI consultant, agency, or in-house: which pays off

When a company decides it is time to automate something, the first question is usually not “what” but “with whom”. Three common answers: hire your own person, buy an agency's service, or work with an independent specialist. Each fits a different situation, and the most common mistake is choosing by price rather than by what will still be in the company a year later.

The question itself has shifted in the last two years. Harvard Business Review argues that AI agents are becoming less a sidekick to a human worker and more a category of talent in their own right: digital teammates. McKinsey puts the same idea in terms of the org chart, which now holds both people and agents. The practical conclusion for a leader is simple. When you choose a supplier you are no longer only buying a system, you are deciding who will manage that system once it starts making decisions on your behalf. That is why the “what stays after the work” row in the table matters most.

How do the three options differ?

When should you hire your own person?

When you have a full day of work every day and know what you are looking for. That means at least a few processes to automate and maintain, and a manager who can judge the candidate's work. Without that, a new hire spends the first months looking for something to do, and you have no way to check whether they are doing the right things.

A common route: assess and build the first system with an outside specialist first, then hire once you see how much work there really is. The assessment document becomes the job description.

It helps to know where the market is moving before you write that description. The McKinsey Global Institute reports that demand for AI fluency in US job postings has grown sevenfold in two years, faster than for any other skill. The same research notes that more than 70 percent of the skills employers seek today are used in both automatable and non-automatable work. In practice that often means training someone you already have, who understands your processes, beats hiring an “AI specialist” from outside.

When should you choose an agency?

When you need many hands in a short time: a large integration project, several systems at once, a clear technical specification. An agency has a team and can work in parallel. The price for that is twofold: the team changes during the project, and after the project the knowledge usually stays with them, not with you.

Before signing, ask three things: who exactly will work on your project, where the system will run and who will own the code, and what a change will cost six months later.

When should you choose an independent specialist?

When you need one accountable person who will first assess whether it is worth doing at all, then build and hand over. This fits companies with one or a few clear processes that want the system to stay in their hands. The limitation is plain: one person cannot do everything at once, so the scope has to be realistic.

The most important question for a specialist: is handover part of the contract, and what exactly does it include. If the answer is “we will write documentation”, that is not enough. Handover is when your people maintain and change the system without them.

How do you decide in one conversation?

• Count how many hours a week people currently spend on the process you want to automate. If it is less than a few hours, you probably need none of the three.
• Ask yourself who will maintain the system in a year. If the answer is “I do not know”, choose the option where handover is mandatory.
• Check whether you have a person who can give time to a pilot on real data. Without one, no option will work.

If you want a second opinion before choosing, the consulting service exists for exactly that: to assess what to do and in which order, regardless of who ends up building it.

A note on the data: the studies cited are international, mostly US-market, from 2025 and 2026. The direction holds; exact figures in Lithuania may differ.