Service

AI chatbot development services

Our AI chatbot development services help businesses build custom conversational AI solutions for customer support, internal teams and digital products. We design and develop AI chatbots, assistants and copilots that can integrate with existing software, business systems and company knowledge. From initial use case and architecture to development, testing and deployment, we support the complete AI chatbot development process. Our solutions are built around your specific users, workflows and business requirements.

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What Are AI Chatbots, Assistants and Copilots?

AI chatbots, assistants and copilots are AI-powered applications that use natural language to interact with users and support different tasks. While AI chatbots typically focus on conversations and answering questions, AI assistants can support a broader range of activities such as finding information, generating content or helping users complete specific tasks. AI copilots go a step further by working within existing software and workflows, providing contextual support while users perform their day-to-day work.

These solutions can be tailored to specific business processes, users and systems, allowing companies to provide more intelligent customer interactions, support employees and add conversational AI capabilities to existing digital products.

When Does Your Business Need a Custom AI Chatbot?

A custom AI chatbot can be valuable when your business handles a growing number of conversations, questions or repetitive requests that require fast and consistent responses. Unlike generic chatbot tools, a custom solution can be designed around your specific users, business processes, software and communication requirements.

Your Team Answers the Same Questions Repeatedly

Employees spend valuable time responding to recurring customer or internal questions that could be handled automatically.

Customers Expect Faster, Always-Available Support

Users need quick access to information outside normal working hours or without waiting for a member of your team to become available.

Generic Chatbots Do Not Fit Your Business

Off-the-shelf chatbot tools cannot provide the functionality, integrations or user experience required for your specific processes and use cases.

You Want AI Built Into Your Existing Digital Products

Your website, web application, mobile app or internal software could benefit from conversational AI that helps users find information, navigate features or complete tasks.

What Business Problems Can AI Chatbots Solve?

High Volumes of Repetitive Questions

AI chatbots can handle common and recurring questions automatically, reducing the amount of repetitive work handled by customer service or internal teams.

Slow Customer Response Times

Customers often expect immediate answers. AI chatbots can provide instant responses to supported requests and make information available outside normal business hours.

Overloaded Customer Support Teams

Routine conversations can take time away from more complex customer issues. AI chatbots can handle suitable first-line interactions while more complicated cases remain with human teams.

Difficult Access to Business Information

Users may struggle to find information across websites, help centres or digital products. AI chatbots can provide a conversational way to access relevant information.

Limited Personalisation in Digital Experiences

Custom AI chatbots can use available context and application data to provide interactions that are more relevant to the user and their current situation.

Customer Support That Is Difficult to Scale

As the number of users and conversations increases, expanding support capacity manually can become expensive and difficult. AI chatbots can help businesses handle a larger volume of suitable interactions without scaling repetitive work at the same rate.

Our AI Chatbot Development Services

Our AI chatbot development services cover the design, development and integration of custom conversational AI solutions for customer-facing and internal business use. We build chatbots, AI assistants and copilots around your specific workflows, users and existing software, from initial architecture to testing and production deployment.

Custom AI Chatbot Development

Our custom AI chatbot development services focus on building conversational solutions tailored to your business requirements, users, workflows and digital products.

AI Assistant Development

We develop custom AI assistants that can support users with tasks such as finding information, processing requests, generating content and interacting with business software through natural language.

AI Copilot Development

Our AI copilot development services add contextual AI support directly to existing applications and workflows, helping users access information, generate outputs and complete tasks within the software they already use.

AI Chatbot Integration

We integrate AI chatbots with websites, web and mobile applications, internal platforms, APIs and other business systems to create connected conversational experiences.

Knowledge-Based AI Chatbots

We build AI chatbots that can use approved business knowledge and connected information sources to provide more relevant, company-specific responses.

AI Chatbot Testing & Optimisation

We test conversational flows, response quality, edge cases and system behaviour, then refine the chatbot to improve reliability, consistency and the overall user experience.

What Types of AI Chatbots and Assistants Can We Build?

We develop AI chatbots and assistants for different business needs, from customer-facing support to internal tools that help employees access information and complete everyday tasks. Each solution can be tailored to specific users, workflows and existing business systems.

Customer Support AI Chatbots

We build AI chatbots that answer common customer questions, provide relevant information and handle suitable first-line support requests, with escalation to human teams when needed.

Internal Employee Assistants

We develop AI assistants that help employees find information, answer internal questions and support everyday work through a natural-language interface.

AI Knowledge Assistants

We build assistants that connect users with approved company knowledge, documentation and other relevant information sources, making business knowledge easier to access.

Sales & Lead Qualification Chatbots

We develop AI chatbots that engage potential customers, answer initial questions, collect relevant information and support lead qualification before human follow-up.

In-App AI Assistants

We integrate AI assistants directly into web, mobile and business applications to help users navigate features, find information and complete tasks within the product.

AI Copilots

We develop AI copilots that work alongside users within existing software and workflows, providing contextual assistance, generating outputs and supporting specific tasks while keeping the user in control.

Anthropic Claude

Azure OpenAI

Hugging Face

Google Gemini

LlamaIndex

LangChain

Mistral AI

Pinecone

PyTorch

TensorFlow

Caspar

Caspar Cloud is a case management system built for organisations that are looking after the elderly, sick or other people who cannot take care of themselves.

Custom Software Development • IT Staff Augmentation • United Kingdom • Healthcare

Fyld

Fyld enables fieldworkers to survey job sites with their smartphone or tablet, upload pictures, audio, and video content to the system.

IT Staff Augmentation • United Kingdom • Infrastructure

Grandio

Grandio is a web and mobile application for a Hungarian asset management firm that provides secure access to portfolio values and related data, with RabIT delivering ongoing support, shared QA, and agile development packages.

Custom Software Development • Mobile Application Development • Web Application Development • Hungary • Advisory and Financial Services

Rentkey

Rentkey is a modern, scalable bilingual web application built for international markets, designed to efficiently manage complex business workflows, document handling, and automated processes within a single platform through Scrum-based development.

Web Application Development • Hungary • Real Estate

What Determines the Cost of Custom AI Assistant Development?

The cost of custom AI assistant development depends on what the assistant needs to do, which systems and data it needs to access, and the technical requirements of the final solution. A focused assistant designed for a specific task may require significantly less development than an enterprise solution with multiple integrations, complex workflows and advanced security requirements. The following factors typically have the greatest impact on the overall development cost:

Solution Complexity

The scope and complexity of the assistant’s capabilities directly affect development effort. A solution that handles a limited set of conversations is generally simpler to build than an assistant that supports multiple workflows, user roles and business processes.

Existing System Integrations

Connecting the AI assistant to CRM, ERP, internal platforms, APIs or other business software requires additional integration and development work. The number and complexity of these connections can significantly influence the overall project scope.

AI Models & Infrastructure

The choice of AI models, hosting environment, API usage and infrastructure architecture affects both development and ongoing operating costs. The appropriate setup depends on performance, scalability, privacy and business requirements.

Business Data & Knowledge Integration

If the assistant needs to work with company-specific documents, databases or knowledge bases, additional data processing and retrieval capabilities may be required to provide relevant and context-aware responses.

Security & Access Requirements

Authentication, user permissions, sensitive data handling, access controls and other security requirements can increase the complexity of an AI assistant, particularly in enterprise environments.

Testing & Ongoing Optimisation

Production-ready AI assistants require systematic testing and evaluation to assess response quality, reliability and behaviour across different scenarios. Monitoring and ongoing optimisation may also be required as usage, business requirements and AI models evolve.

Our AI Chatbot Development Process

Use Case & Requirements Discovery

We identify the users, business goals, conversations and tasks the AI chatbot needs to support and define the requirements for the solution.

Solution & Conversation Design

We define how the chatbot should interact with users, structure conversations, handle different scenarios and connect with the required business processes.

AI Architecture & Model Selection

We design the technical architecture and select suitable AI models, data sources and supporting technologies based on the use case, security and performance requirements.

Chatbot Development & Integration

We develop the chatbot and integrate it with the required websites, applications, APIs, business systems and knowledge sources.

Testing & AI Evaluation

We test functionality, integrations, response quality, edge cases and conversational behaviour to identify issues and improve the reliability of the solution.

Deployment & Continuous Improvement

We deploy the AI chatbot into the production environment and support monitoring, optimisation and further development as usage and business requirements evolve.

Frequently Asked Questions

Still have questions?

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AI chatbot development services involve designing, building, integrating and deploying AI-powered conversational applications for specific business needs. These solutions can support customer service, internal teams, knowledge access and other workflows while connecting with existing software and business systems.

A traditional chatbot typically follows predefined rules, decision trees or scripted responses, while an AI chatbot can use large language models and natural language processing to understand and generate more flexible responses. The appropriate approach depends on the use case, required level of control and complexity of the conversations.

An AI chatbot primarily handles conversational interactions, while an AI assistant can support a broader range of tasks such as finding information, generating content or processing requests. An AI copilot is typically embedded within existing software and provides contextual assistance while users perform their work.

Yes. Custom AI chatbots can be integrated with websites, web and mobile applications, CRM and ERP platforms, internal systems, APIs and other business software. The available integrations depend on the architecture and technical capabilities of the existing systems.

Yes. An AI chatbot can be designed to use approved company documents, knowledge bases, databases and other business information. Retrieval-Augmented Generation (RAG) is one approach that can enable an AI application to retrieve relevant information from connected knowledge sources before generating a response.

The cost of custom AI chatbot development depends on the solution’s complexity, required integrations, AI models, data sources, security requirements and overall development scope. A chatbot designed for a focused use case generally requires less development than an enterprise assistant connected to multiple systems and business processes.

AI chatbot development can take from several weeks to several months, depending on the scope and complexity of the project. Integrations, business data, security requirements, testing and the number of supported use cases can all affect the development timeline.

AI chatbot reliability is improved through appropriate model selection, clear system instructions, controlled access to business knowledge, systematic evaluation and testing across expected and unexpected scenarios. Because generative AI can still produce incorrect responses, production solutions should also include appropriate safeguards, monitoring and human oversight based on the use case.

AI chatbots can be designed with business security requirements in mind, including authentication, access controls, permissions and appropriate handling of sensitive information. The required security architecture depends on the data being processed, connected systems, users and regulatory requirements of the application.

When choosing an AI chatbot development company, consider its experience with software engineering, AI integration, system architecture, security, testing and production deployment, not only its ability to create an initial chatbot prototype. The development partner should also be able to evaluate whether a chatbot, assistant, copilot or another AI approach is appropriate for the business problem.

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Contact Information

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Sales

+44 20 3807 2835 - United Kingdom

+1 (424) 238-7060 - United States

+36 70 620 1660 - Hungary

[email protected]

California, 90401 Santa Monica, Santa Monica Blvd Suite 222.

Hungary, 6724 Szeged, Cserzy Mihály street 30/B

Hungary, 7623 Pécs, Tüzér street 13.

Hungary, 1065 Budapest, Bajcsy-Zsilinszky Blvd 57.