Foundation
an intent map based on real user questions

Multichannel assistants
We design conversation flows, a knowledge base, and enquiry routes for websites, VK, Telegram, and connected systems. The bot handles routine questions without hiding its limits or making decisions for the responsible employee.
This service is for support, sales, and service teams that need consistent terminology, links, and rules across one or more conversational channels.
We collect real questions, group them by intent and required action, and prepare concise answers, clarifying prompts, limits, and escalation routes. Approved sources are versioned separately from the channel copy. The bot is tested on successful, ambiguous, unsafe, and unsupported scenarios before launch.
The final configuration follows the approved brief, channels, source materials, schedule, and rights framework.
an intent map based on real user questions
conversation flows with clarifications, limits, and service or document routes
an approved knowledge-base structure and update process
channel setup, test cases, fallback behavior, and human handoff rules
Use these examples as a starting point. A producer will confirm the actual production route after reviewing the brief.
Scope, inputs, timeline, approvals, and usage rights are confirmed for the actual project.
Scope, inputs, timeline, approvals, and usage rights are confirmed for the actual project.
Scope, inputs, timeline, approvals, and usage rights are confirmed for the actual project.


Open a question to review the production boundary before briefing the team.
We design conversation flows, a knowledge base, and enquiry routes for websites, VK, Telegram, and connected systems. The bot handles routine questions without hiding its limits or making decisions for the responsible employee.
Depending on the brief, deliverables can include an intent map based on real user questions; conversation flows with clarifications, limits, and service or document routes; an approved knowledge-base structure and update process; and channel setup, test cases, fallback behavior, and human handoff rules.
Prices, deadlines, and links must come from approved data rather than model generation. The bot must explain when a message is stored or transferred and must not request unnecessary personal data. Free-form conversation and complex integrations require a separately secured server-side system; a menu, search, documents, and direct contacts remain the fallback.
Move from the current task to production, evidence, estimation, or project launch without losing context.
Chatbots with one answer logic and a clear handoff to a person
Define users, recurring questions and the actions the assistant is permitted to take. Assign a source and an update owner to each answer. Public information, internal documents and personal data need different access rules.
Test precise and ambiguous questions, stale sources and missing answers using examples without unnecessary personal data. The assistant should state its limits and route unresolved cases to the responsible person.
Agree a change log, source-review schedule and a way to disable faulty scenarios. Test search and navigation first, then external actions separately. A chat response alone is not evidence that an operation was completed.