WhatsApp Business
WhatsApp Business API integration for support, bookings, incidents, reminders, notifications and automated conversations.
We develop conversational assistants that can support customers, answer questions, recommend products, query data, manage bookings, create requests and hand off to a human agent when needed.
A good chatbot should not stop at basic FAQs. It should understand context, query real information, integrate with your systems, keep conversation history and know when to escalate to a person. At Digitup we build assistants for WhatsApp, Telegram, web or your own platform, sharing the same conversation logic and backend.
The same assistant can live on WhatsApp, web, Telegram or inside your product, sharing logic, data and history across channels.
WhatsApp Business API integration for support, bookings, incidents, reminders, notifications and automated conversations.
Embeddable widgets for any website with AI, context, history, forms, human handoff and backend connection.
Telegram bots for support, notifications, internal ops, automations, queries and conversational flows.
Assistants inside SaaS products, mobile apps, backoffices, internal panels or corporate tools.
Answers FAQs with your business context and escalates when unsure.
Looks up live catalog, stock or booking data in the moment.
Suggests options from history, preferences or the live conversation.
Classifies, prioritizes and logs incidents for the right team.
Sends guides, PDFs or clear steps inside the same chat.
Tags chats by topic, urgency or intent for cleaner ops.
Summarizes the thread so humans do not start from zero.
Passes the case with full context when a person is needed.
Review, audit and improve answers from a backoffice.
Reads and writes your systems for real actions, not just text.
Alerts customers or teams on the channel they already use.
Tracks usage, limits and quality to keep cost under control.
Handles questions before, during and after the stay: availability, check-in, check-out, keys, rules, parking, WiFi, incidents and handoff to staff.
Learn moreRecommends products or services, answers questions, qualifies leads and routes opportunities to the sales team.
Learn moreResolves FAQs, queries documentation, drafts answers, classifies incidents and reduces team workload.
Learn moreHelps search options, compare availability, recommend services and guide the user through booking.
Learn moreWe can build the system with Python/FastAPI or Node.js/NestJS backends, PostgreSQL or MongoDB, LLM integrations, admin panel, logs, conversation control, business rules and external APIs.
API and dialogue logic ready to connect channels, rules and models.
Identity, permissions and profiles for customers, agents and admins.
History, status and operational control for every live thread.
Official channel wired to the same backend and business rules.
Embeddable chat on your site with the same intelligence as WhatsApp.
Backoffice to review, intervene and operate conversations.
Content and FAQs the assistant uses to answer accurately.
Query your own PDFs and docs without retraining the model.
Conversation memory for coherent answers over time.
Escalation to a person with full context when needed.
Usage, quality, errors and cost under control from day one.
Specialised services
It depends on the channel and the work it has to do: answering on WhatsApp, running tasks in your systems, answering from your documents, handling calls or adding AI to the software you already use. Each case has its own page with features, costs and limits.
My customers write to me on WhatsApp
An assistant on the official WhatsApp Business API, connected to your CRM, calendar or ERP and with handover to a person. Where it fits, we start from AlisaBot, our own chatbot platform.
View serviceI want the AI to do tasks, not just answer
An AI agent reads your email, your documents and your CRM, prepares the work and carries it out following your rules. Anything that needs judgement is approved by a person.
View serviceI need answers based on our documents
An assistant that searches your manuals, contracts or catalogue and cites the source of each answer. We applied it to the Mundomar Cruceros catalogue.
View serviceI want the AI to answer the phone
A virtual receptionist that handles calls, resolves frequent questions, manages appointments and passes anything that needs judgement to your team. It connects to your line through providers such as Twilio or Telnyx.
View serviceI want AI inside the software we already use
We connect models from OpenAI, Gemini, Anthropic or others to your CRM, ERP, website or app, and choose the model by task, cost and privacy.
View serviceYes. We integrate WhatsApp Business API with a conversational backend, business rules, history and, when needed, RAG over your documents or data.
Yes. We design handoff flows with context and conversation summaries so your team does not start from zero.
Yes. We can share the same logic and backend across channels while adapting each interface.
An AI assistant understands natural language, queries data, keeps context and can run real actions. A classic bot usually sticks to menus and static answers.
In most projects yes: conversation panel, metrics, knowledge base and LLM cost control.
A chatbot converses with your customers: it answers, looks up data, handles simple tasks such as a booking and hands over to a person when needed. An AI agent works towards goals: it reads and writes in your systems, chains several steps (read an email, query the CRM, create a task) and follows your rules, with human approval for the steps that require it. Many projects combine both. If what you need is for the AI to carry out tasks, see AI agent development.
Yes, with RAG: before answering, the assistant searches your manuals, policies, contracts or catalogue and writes the answer from what it finds, indicating which document it comes from. If you change a document, the answer updates without retraining the model, and you can limit which documents each user can query according to their permissions. We applied it, for example, to the Mundomar Cruceros catalogue. We explain it in RAG for business.
Digitup Studio projects start at €1,000, with delivery from 2 weeks. A web chatbot with your company information is close to the minimum; integrations with CRM, calendar or ERP, more channels or more volume of information raise the price. Usage costs are separate: the AI model consumption and, on WhatsApp, what Meta charges for the messages the company sends. Depending on the project, you can pay as a fixed project, over 6 or 12 months, or with Build & Run, a monthly fee; we explain it in ways of working and in WhatsApp AI chatbot.
We can help you create an assistant connected to your data, channels and real processes.
Create an AI assistant