AI guide
Should a business buy an AI product or have a custom AI tool built?
Buy an AI product such as ChatGPT Business and Enterprise when a general assistant and a few shared custom GPTs cover what your staff need. Have a custom AI tool built when the tool must read live data from your systems, follow your permissions or take actions, because products stop at that point and per-seat or per-credit pricing grows fastest there.
| What you are comparing | A product | A custom build |
|---|---|---|
| Cost over five years | A fee for every seat every year, or credits billed with every response, plus the higher plan that carries admin controls. The total grows with headcount or with use. | A one-time build scoped in writing, then running costs such as hosting and model usage. No licenses, so the total does not grow with headcount. |
| Per-seat fees | Per-seat fees are common. ChatGPT and Claude publish per-seat prices, and Copilot Studio bills by credits used. | None. Every employee can use the tool without a fee per person. |
| Fit to your process | A general assistant shaped with instructions, connectors or knowledge sources. It works inside the vendor's app and within its limits. | Built around your own data, roles and steps, and placed inside the systems where the work already happens. |
| Time to launch | Seats can be bought and used almost at once. Shaping the product to your business and settling the data terms takes longer. | Starts with discovery and a written scope. You see the tool working on your own data during the build, and the schedule is set in that scope. |
| Data control | Set by the vendor's plan and terms. Some vendors itemize the controls and others leave them to a sales conversation. | The tool runs in accounts you own, so storage, access and retention are your decisions. The model provider and its terms are named in the scope. |
| Actions inside your systems | Possible where the vendor has a connector or an agent feature for that system, and limited to what it supports. | Built for the specific actions you approve, with your rules, a log of each action and a person in the loop where you want one. |
| Who maintains it | The vendor maintains the product. Your staff maintain the GPTs, agents and knowledge sources they set up. | Any competent developer, since Black Badger writes the code to be read and extended and sets up every account in your name. |
When buying an AI product is the right answer
Buy when the need is general. Drafting, summarizing, answering questions from written material and helping people think are what assistant products do well, and a published per-user price makes the decision easy to size.
Buy first even if you expect to build later. A period of real use shows which questions staff ask, and that is the best input a custom build can have.
When building a custom AI tool is the right answer
Build when the tool has to know what is true right now. If the answer depends on the orders placed today, the balance of one customer or the state of a job, the tool must read your systems at the moment of the question. It must also respect who is asking.
Build when the tool has to act. Creating a record, sending a document or moving a job forward needs rules, limits and a log that are specific to your company.
How to compare the cost of an AI product with a custom build
For the product, take the seat price on the plan with the controls you need and multiply by everyone who will use it, over five years. Where billing is by credit or usage, run a pilot and scale it.
For the custom tool, the number is a one-time build plus running costs, which include model usage. Black Badger does not publish a price, because the figure depends on what the tool has to do and which systems it must work with. A written scope gives you the number to set beside the product total.
What a custom build involves, and how to ask about one
Questions buyers ask
Is a custom AI tool more expensive than ChatGPT seats?
Yes, a custom AI tool is more expensive than ChatGPT seats for a general assistant, and you should buy the seats. The comparison changes when the tool does a specific job across many staff for years. Then a recurring fee per person is set against a build you pay for once, plus its running costs.
Can a company use an AI product and a custom AI tool together?
A company can use an AI product and a custom AI tool together, and most should. Give staff a general assistant for everyday work, and build a custom tool only for the few jobs that depend on your own data and systems.
Which AI model does a custom tool use?
The AI model for a custom tool is chosen during scoping, based on the job, the data terms and the running cost. The tool is built so the model can be changed later without rebuilding everything around it.