Discovery before implementation,
not assumptions before scope.
Four phases: define the need, agree the scope, configure the tailored chatbot or AI assistant solution, then launch with clear service responsibilities. We assess fit before implementation begins.
Three lines that govern every configuration decision.
Four phases, four to eight weeks, a defined scope.
Each phase has a written deliverable. You see what is being configured, what is client-owned content, and what remains part of the managed service.
Discover
We start with the idea, need, workflow, or business problem. The map comes before implementation, and if the fit is weak, we say so before scope expands. One to two weeks.
Define
We define what the assistant answers, what it refuses, what data it uses, and where it hands over to a human. Written down and agreed before configuration. One week.
Implement
Configured on Qevinto's managed platform for tailored chatbot and AI assistant projects, with hosting, model, monitoring, and support responsibilities documented before launch. Two to four weeks.
Launch and support
Documented flows, testable conversations, clear control surfaces, and launch support. Your data, source material, and approved content remain yours; ongoing service terms are defined where applicable. One week.
From passive layer
to active customer interface.
The shift is structural, not cosmetic. The website stops waiting and starts guiding.
Passive layer
Presents information and waits. Visitors with specific questions either find the answer buried somewhere, or leave without asking.
Active customer interface
Guides visitors through their question, collects what your team needs, and hands over cleanly when judgement is required.
Engineering that takes both sides seriously.
Predictable behaviour
Controlled conversation logic means the chatbot does the same thing on Tuesday as it did on Friday. No drift, no surprise outputs, no quietly-changed behaviour after a model update.
Testable conversations
Every conversation flow is testable. We write the test cases as part of implementation, so regressions are caught before they reach a real customer.
Boundaries you can see
What the assistant will answer, what it refuses, and where it hands off to a human — all written down, visible to your team, and configurable as your source material or workflow changes.
Focused engineering, no layers
Few moving parts, direct lines of communication, and clear responsibility for configuration, hosting, maintenance, and support. The service stays understandable instead of disappearing into a black box.
Ready to scope a project? Let's start with a conversation.
The first conversation is free, takes about 30 minutes, and ends with a clear sense of whether and how we can help.