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Custom conversational AI development

Conversational AI is changing how businesses communicate with customers and staff. Appfront designs and builds bespoke chatbots, voicebots and virtual assistants that hold natural conversations, answer questions and automate processes.

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What we build with conversational AI

Conversational AI goes well beyond a simple chatbot on your website. It covers any AI-driven interface capable of natural conversation: from a customer service assistant that handles complex enquiries, to an internal knowledge base bot that helps staff find information. Also discover our wider AI development services and AI chatbot expertise.

From conversation to action

Our conversational AI solutions don't just understand what a user says; they can also take action. Think of checking order statuses, booking appointments, routing enquiries to the right department or creating tickets in your existing systems.

We build step by step: first a working prototype, then refinement based on real conversations, and finally integration with your business processes.

1. Discovery & use case analysis
2. Conversation design & flows
3. Prototype & testing
4. Integration & deployment
5. Monitoring & optimisation

Our specialisms

We build conversational AI solutions across three core areas, each with its own technical requirements and conversation patterns.

External

Customer service chatbots

AI-powered chatbots that help your customers around the clock with frequently asked questions, order status, complaint handling and product advice. Connected to your existing systems so the bot can give up-to-date information rather than generic answers.

  • Natural language processing in Dutch
  • Integration with CRM, ERP and ticketing systems
  • Automatic escalation to human agents
  • Multi-channel: website, WhatsApp, social media
Internal

Internal knowledge base assistants

Virtual assistants that make your internal documentation, manuals and procedures searchable through natural language. Staff ask a question and get the right answer straight away, including a source reference. Built with RAG technology on your own data.

  • Trained on your own company documents
  • Source references with every answer
  • Integration with SharePoint, Confluence, Notion
  • Role-based access control
Omnichannel

Voice & omnichannel interfaces

Voicebots and voice-driven interfaces that work over the phone or through voice assistants. Combined with omnichannel logic so a conversation can move seamlessly from voice to chat and back again, without losing context.

  • Speech-to-text and text-to-speech integration
  • Telephony integration (IVR replacement)
  • Context retention across channels
  • Sentiment analysis and tone recognition

Applications of conversational AI

Conversational AI can add value in almost every department. These are the areas where we see the greatest impact.

Customer service

Customer service automation

Automate frequently asked questions, returns processes and status updates. The AI handles routine enquiries independently and brings in a human agent for complex situations. This reduces pressure on your service team and improves customer response times. See also our AI customer service automation service.

HR & recruitment

HR & recruitment bots

An AI assistant that guides applicants through the process, answers frequently asked questions about vacancies, and completes intake forms through a natural conversation. Internally, the same technology can handle employee HR queries about leave, benefits and procedures.

Sales

Sales & lead qualification

Conversational AI that proactively engages website visitors, identifies their needs and qualifies leads before they reach your sales team. The bot asks the right questions, collects contact details and, if required, books an appointment directly in your calendar.

IT & support

Internal support & IT helpdesk

An AI-powered IT helpdesk that handles password resets, software access and common technical issues without human intervention. Integrated with your ITSM tooling (ServiceNow, Jira Service Management) for automatic ticket creation and resolution.

Why choose Appfront for conversational AI?

Building conversational AI requires more than plugging in a language model. It calls for an understanding of conversation design, systems integration and the specific context of your organisation.

AI expertise with a software foundation

Our team combines knowledge of AI development with years of experience in custom software. This means we don't just build a clever bot; we also ensure reliable integrations, scalable architecture and an interface your users will want to use.

  • Experience with a range of LLMs and NLP frameworks
  • Strong background in systems integration
  • Focus on user experience and adoption

Bespoke, not off the shelf

We don't sell a off-the-shelf chatbot platform. Every conversational AI solution is custom built for your specific use case, with your data, in your tone of voice, and integrated with your systems. See our services or read more about our approach.

  • Fully bespoke: no vendor lock-in
  • Your data remains yours
  • Iterative: you test along with us after every sprint
Not yet sure about a large project?

Test your idea first: a working prototype in 1 day

With OneDayBuild, we turn your idea into something tangible in one day for €1,150, so you can see whether further development is worth the investment. Decide to go ahead with the full build? Then we credit the full cost.

Explore OneDayBuild →

Technology we use

For each project we choose the right combination of language models, frameworks and infrastructure. Not one-size-fits-all, but a stack that suits your requirements for performance, privacy and scalability.

Language models & AI frameworks

We work with the most suitable large language models for your use case, combined with frameworks for orchestration, retrieval and memory management.

GPT-4 / OpenAI Claude / Anthropic Gemini / Google LangChain RAG Vector databases Pinecone Weaviate

Backend & infrastructure

Robust backends that make your conversational AI reliable and scalable, with professional deployment and monitoring.

Python Node.js FastAPI Docker Kubernetes WebSockets Redis PostgreSQL

Privacy & security

Conversational AI often processes customer data and commercially sensitive information. This calls for a carefully considered approach to privacy and security.

  • Full GDPR compliance across all conversation processing
  • Option of on-premise or private cloud deployment
  • No data sharing with external AI providers, if preferred
  • Encrypted communication and storage of conversation data
  • Role-based access and audit logging
  • Data minimisation: processing only what is necessary

Read more about our information security policy and vulnerability disclosure policy.

Frequently asked questions about conversational AI

What exactly is conversational AI? +
Conversational AI is an umbrella term for AI systems that can hold natural conversations with people. This includes chatbots, voicebots, virtual assistants and other conversational interfaces that use natural language processing (NLP) and large language models to understand human language and give relevant responses.
What is the difference between a regular chatbot and conversational AI? +
A traditional chatbot works with fixed rules and decision trees: the user chooses from predefined options. Conversational AI, by contrast, understands free text and speech, can retain context within a conversation, and gives nuanced responses. The difference lies in intelligence: conversational AI learns and adapts, whereas a rule-based chatbot does not.
Which technologies are used for conversational AI? +
We work with large language models such as GPT-4, Claude and Gemini, combined with frameworks like LangChain for orchestration. For business-specific knowledge, we use RAG architectures with vector databases. The backend is built in Python or Node.js, with FastAPI or Express as the API layer. Deployment is via Docker and Kubernetes.
How long does it take to build a conversational AI solution? +
A first working prototype can be ready within a few weeks. A full production solution with integrations, training on your business data and thorough testing typically takes several months. We work in sprints, so you can test a working version after each iteration and give feedback.
Is conversational AI safe for sensitive business data? +
We build conversational AI solutions with privacy and security as a starting point. That means GDPR-compliant data processing, the option to run models on-premise or in a private cloud, and encrypted communication. Sensitive business data never needs to be shared with external AI providers if you do not wish it to be.
What determines the cost of conversational AI? +
The cost depends on several factors: the complexity of the conversations the AI must be able to handle, the number of integrations with existing systems, whether the AI needs to be trained on business-specific data, and whether you choose cloud or on-premise hosting. Get in touch for a no-obligation estimate based on your situation.

Ready to deploy conversational AI?

From a customer service chatbot to an internal knowledge base assistant, we build the conversational AI solution that suits your organisation. Browse our services, read about our approach, or get in touch directly for a no-obligation conversation.

✓ No-obligation advisory call • ✓ GDPR-compliant • ✓ Built to measure

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