AI AGENTS
& CHATBOTS
We build assistants that answer from your knowledge base, clarify customer requests and perform agreed CRM actions. They pass complex questions to an employee together with the context.
FROM THE FIRST QUESTION
TO A CLEAR NEXT STEP
A good agent knows where to find an answer and when to stop. We design conversations around your service: clarify the task, find current information, create a request or hand the conversation to a specialist. We connect only the actions the process needs.
CONVERSATIONS, KNOWLEDGE
& WORKFLOWS
Answers from your knowledge base
Company documents, instructions and terms become answer sources with accessible links.
Request qualification
The assistant clarifies the task, collects agreed information and helps choose the next step.
CRM actions
Create a request, book a consultation or check a status through authorized integrations.
Human handoff
Staff receive the conversation history, the reason for handoff and the information already collected.
FROM DATA
TO A WORKING PROCESS
Communication channels
Website, customer portal and agreed messaging apps. We check API availability and the terms of each channel.
Knowledge preparation
Document structure, freshness, access permissions and the source update process.
Workflows and permissions
Conversations, available actions, confirmations and limits for different roles.
Quality and cost
Test questions, answer logs, request limits and model usage estimates.
THE ASSISTANT CONVERSES.
YOUR TEAM STAYS IN CONTROL.
Workspace concept: customer conversation, retrieved sources and request details. These demo screens illustrate a workflow, not real client results.
FROM HYPOTHESIS
TO A WORKING AI SOLUTION
At every stage, we agree on the outcome and the next step.
Brief and workflow
We define the audience, common questions and the specific outcome of the conversation.
Outcome: agent scope
Sources and criteria
We review the documents and prepare questions to test the answers.
Outcome: knowledge base and test set
Conversation prototype
We build the logic for clarifications, answers and staff handoff.
Outcome: working prototype
Interface and answers
We design the widget, messages, source links and action statuses.
Outcome: approved conversation experience
Development and connections
We connect the CRM and channels and configure roles and confirmations.
Outcome: integrated pilot
Testing and launch
We check errors, train the team and enable monitoring.
Outcome: launch with quality controlCHOOSE THE RIGHT FORMAT
FOR YOUR GOALS
AI projects start at $11,780. The final estimate depends on the task, data and integrations. Recurring model and infrastructure costs are calculated separately.
AI audit
To choose a task and assess feasibility.
Custom quotefor the agreed scope- Process and data review
- Implementation priorities
- Pilot criteria and plan
Pilot solution
To test one practical hypothesis.
from $11,780for the agreed scope- Prototype based on your workflows
- Test set and evaluation
- Operating cost estimate
Implementation and development
To bring the solution into the team's workflow.
Custom quotefor the agreed scope- Integrations and roles
- Monitoring and quality control
- Training and ongoing development
ANSWERS TO
YOUR QUESTIONS
How is an agent different from a standard chatbot?
A scripted bot follows predefined branches. An AI agent can use context, search for information and call tools. Its level of autonomy is defined during design.
How much does a project cost?
An AI pilot starts at $11,780. We specify workflows, channels and integrations in the estimate; models and infrastructure are priced separately.
What data does it use to answer?
Approved documents, the knowledge base and connected system data. For each source we define its owner, access permissions and update procedure.
What happens if no answer is available?
The agent asks a clarifying question or hands the request to a staff member. We test this workflow and its behavior when integrations are unavailable before launch.
Can you connect our CRM?
We check the available API, required fields and permissions. We agree on actions such as creating a lead, updating a status or assigning a task.
Do we need to train our own model?
Not always. An existing model, search over your knowledge base and configured workflows are often enough. We choose the approach after testing your examples.
How long does implementation take?
Timing depends on knowledge preparation, channels and integrations. After the brief, we create a schedule with a pilot demonstration before the full launch.
Who oversees the agent after launch?
We assign owners for knowledge, complex requests and quality. Your team receives the logs, instructions and metrics.
A PROJECT HAS
A FACE AND A CHARACTER.
“I personally contribute to strategy and key decisions. A website should do more than impress — it should clearly and honestly explain why a customer should choose you.”
LET’S DISCUSS
YOUR AI PROJECT?
Tell us about the process and available data. We will define the pilot scope, quality criteria and budget.