Your staff are already using AI.
In most businesses, someone is pasting client details into a personal ChatGPT account. Banning it rarely works. Giving people a business account with sensible settings and clear rules does.
A chatbot is rarely the right first project.
The best returns usually come from dull back-office work: reading emails and forms, keying data, chasing follow-ups, assembling reports. It's less impressive in a demo and pays back far sooner.
Projects stall on data access more than on the model.
Today's models are good enough for most business tasks. What holds projects up is getting clean, permissioned access to the data the AI needs. We check that in the first week, before anyone writes a prompt.
If it isn't tested on your examples, it isn't tested.
Before launch we run anything we build against a set of real cases from your business, and we leave you that test set. When a model is updated, you can rerun it and see whether anything got worse.
Usage costs are the ones that surprise people.
Seat licences are predictable. The bills that jump come from automations calling a model thousands of times a day. Everything we build has logging and a spending limit from day one.
Sometimes the answer is a spreadsheet fix.
Some problems that look like AI problems are really a missing field in the CRM or a process nobody wrote down. If that's the case, we'll tell you, and it'll cost you a lot less.