It can use approved company materials, recognize intent, ask for missing information and guide the conversation through a defined scenario. Depending on its configuration, it can then book an appointment, create a lead, open a support ticket, check an order or start another action in a connected system.
The scope is designed for each implementation. Available actions depend on granted permissions, connected systems and the processes agreed with the client.
Answers questions from approved pages, documents, instructions, price lists and procedures. It recognizes intent, remembers the current context and asks clarifying questions when information is missing.
FAQ · services · pricing · instructions · multilingual conversationsChecks connected calendars, suggests available times and collects the information required to create, move or cancel a booking.
Patient visits · consultations · demos · advisor callsCollects contact details, identifies the customer’s need and organizes qualification answers before handing a structured inquiry to the team.
Need · urgency · budget · timing · preferred contactCreates or updates contacts, leads and opportunities, saves the conversation summary and can start an agreed follow-up workflow.
HubSpot · Salesforce · Pipedrive · Zoho · Monday.comAccepts a case, gathers its description, checks status and routes it to the correct person or team with the conversation context attached.
Freshdesk · Intercom · Zendesk · Jira · ServiceNowHelps find products, compare variants and check orders. It can start a return or payment flow and sends the customer to a secure checkout instead of collecting card data in chat.
Shopify · order systems · Stripe · delivery statusThe same service logic can work on a website, in a web or mobile app, through WhatsApp, SMS and selected messengers, with a human handoff where required.
Web chat · WhatsApp · SMS · Slack · TelegramRuns defined multi-step processes across applications through APIs, webhooks, a custom backend or an automation platform.
REST API · MCP · webhooks · n8n · Make · ZapierA booking scenario illustrates the operating model. The same structure can support a sales inquiry, support ticket, order lookup or another approved process.
The customer asks to book a consultation. The chatbot identifies the intent and selects the correct scenario.
It queries the connected calendar or booking system and offers appropriate available times.
It asks for the fields required by the process and confirms important details before submission.
The booking is created only after the source system confirms success.
The customer receives the next step. An exception goes to the team with the conversation context.
Organizational information, patient visit booking, reminders and preparation instructions, without diagnosis or medical advice.
Consultation selection, available dates, qualification information and confirmed appointment requests.
Lead qualification, product demos, advisor calls and a structured summary for sales.
Product questions, variant comparison, order status, returns and a route to secure payment.
Information about programs or roles, collection of candidate data and booking the next conversation.
Preference gathering, offer routing and booking a viewing, test drive or service visit.
Service selection, quotation inputs, location and preferred date collected before team contact.
Issue categorization, ticket creation, status updates and transfer to the correct team.
Ready-made connectors can be combined with REST APIs, webhooks, MCP servers, a custom backend or the client’s database. Every operation receives only the permissions required by its scenario.
Availability, booking, rescheduling and cancellation.
Cal.com, Calendly, Google CalendarContacts, leads, opportunities, notes and follow-up tasks.
HubSpot, Salesforce, Pipedrive, ZohoTickets, statuses, comments, routing and customer history.
Freshdesk, Intercom, Zendesk, JiraProducts, orders, subscriptions, returns and secure payment links.
Shopify, Stripe, order systemsConfirmations, summaries, alerts and approved outbound messages.
E-mail, SMS, WhatsApp, Slack, TelegramMulti-application workflows and integrations with industry software.
n8n, Make, Zapier, API, MCPThe customer can get approved information or start a configured process whenever they visit the website.
Recurring questions and data collection can be handled before a specialist joins the case.
The team receives the need, contact details and qualification answers in agreed fields, not only a free-form message.
Unusual, sensitive and failed cases are transferred with context instead of being forced through automation.
The implementation defines approved knowledge, permitted actions, required data, retention and handoff rules. The chatbot does not receive unrestricted access to company systems.
MIA Preserve shows one possible implementation of the platform: an assistant based on the clinic’s approved information and configured around patient questions. Each deployment receives its own knowledge, scenarios, interface and integrations.