Clients who come to us about AI often start with a big goal: hand all customer service over to AI, or have it process every contract. There's nothing wrong with the goal. But we usually suggest starting smaller.
Pick one step
A good starting point tends to have three things going for it: it happens every day, people do it by hand today, and you can say clearly whether it was done well. The few dozen questions customer service hears most often, say, or one kind of invoice with a fixed layout, or the follow-up notes a sales team writes every day.
Test with real examples
Before building anything, we sit down with the client and put together a set of examples from their actual work, along with a clear description of what a correct result looks like. Every time we change a prompt, swap a model or adjust a step, we run the whole set again. Whether things got better or worse is there in the results, not left to gut feeling.
Scale once it works
A focused prototype usually takes a few weeks. Once it holds up in real use, we connect it to more steps and more teams. And if the results aren't good enough, stopping at that point costs very little.
After launch
Launching an AI application isn't the end. The business changes, models get updated, and users ask new things. After launch we keep watching the results, retest with fresh examples and keep tuning.
If you'd like to talk about a project, have a look at our services, or just write to us.