Your rules. Your knowledge.
Agent Studio brings company information, customer conversations and business actions into one workflow. Adapt it for sales, support or appointment booking.
Create an agent that knows your products and services, answers customers, collects requests and brings in a person when needed.
Follow customer requests and agent activity in one place.
Customer · Is size M available?
Agent Studio · Let me check the catalog.
Knowledge connected ✓Set a role, connect knowledge and define actions. Your agent helps with conversations while you control what it is allowed to do.
Agent Studio brings company information, customer conversations and business actions into one workflow. Adapt it for sales, support or appointment booking.
Use your connected company knowledge.
Continue conversations using their history.
Catalog cards with prices, photos and links.
Clarify needs and collect essential contact details.
Use configured services and schedules.
Retrieve data and send confirmed actions.
Hand conversations to your team when needed.
Keep conversations, requests and metrics in your workspace.
Start with one process, check the result and add more tasks over time.
Your team keeps answering the same questions.
Knowledge-based answers, saved context and human handoff for difficult questions.
Product and service requests get lost across channels.
Catalog recommendations, follow-up questions and requests with the contact details your team needs.
Agreeing on a service and a time takes too many messages.
Configured services and available slots help the agent guide a customer to a booking.
Employees have to find instructions across different documents.
Answers from connected procedures and onboarding materials for new colleagues.
Choose a role and channels, add knowledge and test your workflow.
Choose a use case and configure an agent with your business data.
Switch tabs to see how an agent uses knowledge, performs actions and holds a conversation.
The agent finds relevant document passages and uses them in replies. Products can appear as cards with a photo, price and link.
Estimate the cost of handling customer requests when an AI agent takes on part of the repetitive work.
Potential savings
per month · based on your inputs
NBU rates as of 11/14/2026 · 1 USD ≈ 45.3849 UAH
This is a cost model, not a savings guarantee. Formula: team expenses × share of AI tasks − service budget. Released time assumes 160 hours per employee per month. Actual cost reductions depend on workload, automation quality and changes to team operations. Paid plan prices have not been published; implementation and external service costs are excluded. Switching currencies converts amounts using the displayed reference rate, excluding bank fees.
A clear setup path without infrastructure work at the first step.
Start from a template or define the agent’s role and goal yourself.
Upload documents, frequently asked questions and a catalog with product photos.
Talk to your agent in the test chat, then enable the channel you need.
A template gives your agent a starting point. Edit instructions, choose a model, add company data and connect channels.
Answers common questions from company knowledge and hands difficult cases to a person.
Drafts ideas, short video scripts, captions and content plans in a conversation.
Compares and organizes information from your uploaded knowledge base.
The content assistant prepares drafts in chat. Automatic publishing and web search are not connected yet.
Website chat and Telegram run locally. Other channels are in beta and require platform accounts and live testing.
Start with free limits. Payments and self-service paid plans are being prepared for the public launch.
1 agent · 100 replies per month
Get started ↗5 agents · 2,000 replies per month
Learn more ↗20 agents · 10,000 replies per month
Learn more ↗Configure the role, instructions, knowledge and channels in your workspace. An external API requires an endpoint and access to your service.
The platform currently uses local Qwen through Ollama. Speed depends on the computer or server. Available models are shown in settings.
Yes. Use the test chat and response evaluation screen. Actions in the test chat are simulated.
Website chat and Telegram have been tested locally. WhatsApp, Instagram, Viber and Messenger require business accounts, public HTTPS and end-to-end testing.
Create an agent, upload knowledge and check replies in the test chat. Set up channel connections after testing.
Create your agent