Search "AI chatbot development company" and you'll find hundreds of firms with near-identical websites, identical promises, and wildly different actual capability. Separating builders from resellers takes maybe five questions — if you know which five.
We're one of the companies you might be evaluating, so treat this as a checklist you can use on us too. Everything below is a question we're happy to be asked.
Builders vs. resellers
A large share of "chatbot companies" are agencies configuring a white-labelled platform and marking it up. That's not inherently bad — but you should know which you're buying, because it determines your ceiling on integrations, data control, and ownership.
The tell: ask what happens if you stop paying. If the answer is "the bot stops working", it's a platform under the hood. If it's "you keep the code and infrastructure", it's a build.
The five questions that reveal capability
One: "How do you measure answer accuracy before launch?" Real builders describe an evaluation set and a testing process. Resellers talk about how smart the model is.
Two: "Who owns the code, prompts, and data?" Three: "How does the bot behave when it doesn't know an answer?" — you want confidence thresholds and escalation, not improvisation. Four: "Which model providers can you work with, and how do we switch later?" Five: "Show me how a handoff to a human looks, with context."
Any firm that answers all five crisply — with specifics, not adjectives — is worth shortlisting.
Red flags to walk away from
Guaranteed deflection or conversion numbers before anyone has seen your data. Case studies with impressive percentages and no named client or verifiable detail. Pricing that's suspiciously low for "custom" work — that's a template with your logo on it.
The subtler one: no discussion of failure modes. A vendor who never mentions hallucinations, escalation, or knowledge maintenance either doesn't know or hopes you don't ask.
What a good engagement looks like
Discovery call, then a written architecture and fixed-scope proposal — before money changes hands. A working prototype inside a few weeks so you're judging behaviour, not slideware. An evaluation pass with accuracy numbers before launch, and a handoff that includes runbooks or an honest retainer.
Fixed scope matters more than people realize: open-ended hourly AI projects have a way of staying open-ended.
Does US-based matter?
For most projects, working hours and communication quality matter far more than office location. What you actually need: calls in your timezone, responsive communication on Slack or email, and clarity on where your data is hosted (which you can require to be a US region regardless of where the team sits).
We're transparent about this ourselves: our team is not US-based, we work US hours for client calls, and we deploy to your cloud in your region. Vendors who imply a US office they don't have are showing you how they handle inconvenient facts.
Frequently asked questions
Conclusion
The US chatbot market has excellent builders and confident-sounding middlemen, and their websites look the same. The five questions above separate them in a single call.
Ask us the same questions — the discovery call is free, and "interrogate us" is a use of it we actively encourage.
