For a first, small AI project, doing it yourself is often the smarter choice - cheaper, faster to start, and far more instructive. Consultants earn their fee on scale and complexity, not on a two-week pilot you could run with off-the-shelf tools. The trick is knowing where that line sits for you.
When DIY is the right call
- Your first use case is small, clear and low-risk
- Off-the-shelf tools already cover it
- You want to build internal understanding, not dependence
- Budget is tight and you can afford the learning time
Running your own first pilot teaches you more than any slide deck - the best way to start using AI.
When to bring in help
- The problem is complex, regulated or high-stakes
- You genuinely lack the time to run even a small pilot
- You need an outside challenge to your assumptions
- You are scaling something already proven
The middle path
If you do hire, insist that they teach your team as they deliver, so capability stays when they leave - the same logic as hiring a consultant versus building internal expertise. Rent speed, but own the knowledge.
The bottom line
DIY your first small AI project to learn cheaply; hire for complexity, scale or a needed outside view - and always keep the knowledge in-house. Building that capability is what the Strategic Application of AI in Business course at London School of Business UK provides. Enquire today.