AI chatbots and integrations

Sound familiar?

• You answer the same twenty customer questions every week.
• You tried a chatbot and it confidently made things up.
• Your team pastes the same context into an AI tool by hand all day.
• You want AI in the product and cannot tell which parts are worth automating.

What you get

• An assistant grounded in your own content, so its answers come from your documents rather than from guesswork.
• A clear line between what it answers and what it hands to a human.
• Limits and fallbacks, so a failed call or a rate limit does not break the page.
• Usage and cost visible from day one, with a ceiling you set.
• Honest scoping: we will tell you which parts of your idea AI does badly.

FulfilQ is the clearest example. Logan, its AI advisor, talks with brands about what they need, builds a profile from that conversation and explains why each suggested provider fits.

How it works

We pick one workflow, the one with the most repetition and the least judgement, and build that first. You see it working on your real content before we scope anything wider.

Questions

Which AI model do you use?

Whichever suits the job and the budget, and we explain the trade-off. Keeping the model swappable matters more than the specific choice.

How do you stop it inventing answers?

By grounding it in your own content, constraining what it is allowed to answer, and having it say it does not know.