A custom AI assistant acts as a digital colleague or customer service agent. It understands your data, responds in natural language, and supports people across departments or customer touchpoints.
Where to apply:
Customer Support: Automate responses, resolve FAQs, and deliver consistent 24/7 service.
Sales and Marketing: Generate personalized offers, summarize leads, and analyze customer feedback.
eCommerce: Help shoppers find products, and track orders through a conversational interface.
Operations and Logistics: Retrieve order data, track deliveries, and automate reporting.
Finance: Answer inquiries about invoices, budgets, or policies using secure internal data.
HR and Internal Knowledge: Help employees access company policies, onboarding materials, and process guides.
Compliance and Quality: Assist teams in checking procedures and documenting regulatory steps.
Education and Training: Support learners with context-aware tutoring, reminders, and progress tracking.
Built with secure data handling and deep system integration, it becomes a reliable extension of your business.
Recognized by Microsoft for expertise in Azure AI and data services, delivering secure and scalable AI implementations.
Every AI project starts with understanding your business processes, data, and goals to define a solution that delivers measurable impact.
More than 300 specialists, 20 years in software development, ISO 27001 certification, and a record of stable, long-term partnerships in Europe and the US.
Every AI assistant project starts with understanding your goals, processes, and technology stack. Together, we define a clear scope, delivery plan, and technical approach. Most projects are completed within 4–10 weeks, depending on complexity and integrations.
We begin with a feasibility study to identify where AI can add measurable value to your process.
Our team connects your assistant to internal systems such as your data warehouse, knowledge base, CMS, and other business platforms.
We design the interface, integrate models like GPT-5, and deploy your assistant securely within your infrastructure.
With usage-based models such as GPT-5, you pay only for what you use. Current pricing is approximately $1.25 per million input tokens and $10 per million output tokens, which means smaller requests typically cost only a few cents each. UKAD can deploy your AI assistant on your existing cloud or provide full infrastructure management for a smooth, scalable rollout.
We help you compare model costs and choose the best option for your usage volume.
Run your assistant on your infrastructure or let UKAD manage hosting, monitoring, and compliance end-to-end.
Once live, we help you track usage and optimize performance as adoption grows.
"The ecommerce platforms have expanded significantly in a short period, resulting in success for the company. A steady partner in this multiyear engagement, UKAD has provided consistent dedication and enthusiasm to the project."
"We've been working for five years and we never missed the deadline. I want to keep these guys forever working with me."
"The product has been a resounding success. UKAD’s openness complemented their collaborative and professional management style. Their dedication and responsiveness to the project were also noteworthy. Expect a team that provides quality work and is willing to take on any challenge."
"UKAD’s efforts have increased user engagement and improved conversion rates. The team demonstrates strong organizational skills and adheres to the project timeline meticulously. They have a clear understanding of the client's business needs, ensuring that goals are aligned."
"The team at UKAD has widespread in-house expertise. Their ability to scale and adapt to changing projects makes them stand out. They will work weekends to ensure deadlines are met, and consistently go the extra mile."
"Prompt and helpful in software development projects. High skills in .Net and web development. Very professional."
"Satisfaction guaranteed - is definitely something that is fulfilled by the team we've worked with at UKAD. They are committed and eager to deliver a product that one can be proud of by close communication and tight debriefs - regardless of the distance."
"UKAD has shown flexibility, rapidness, professionality and they are available when needed!"
"No doubt, UKAD has a team of strong developers capable of performing very well. UKAD’s app is flawless, stable, and easy to use on any device. The team was able to create a unique trading experience and a new way to interact with music. The process was seamless between companies and the cooperation was executed smoothly."
"Through the years, UKAD has remained a reliable and competent software partner. Their work is technically sound, their project management is efficient, and their communication is fluid and thorough. The team excels at finding effective, customized solutions."
A chatbot delivers scripted responses to predefined questions, while an AI assistant uses natural language processing and large language models to understand context, retrieve data, and perform actions. Unlike basic chatbots, a custom AI assistant can integrate with business systems, automate tasks, and provide adaptive, data-driven support.
Yes. Every assistant is tailored to your workflows, terminology, and business goals. Whether you need it for internal operations, customer service, or industry-specific automation, we adjust behavior, integrations, and tone to fit your exact needs. Our AI assistant development services are designed to adapt to diverse industries and processes.
An AI assistant can securely connect to a wide range of internal and external data systems, including CRMs, data warehouses, knowledge bases, and document repositories, through APIs and retrieval-augmented generation (RAG). Your data always stays within your environment, ensuring security across all AI assistant software integrations.
Most projects are completed within 4 to 10 weeks, depending on the number of integrations, workflow complexity, and model selection. We start with a discovery phase to define goals, data access, and measurable outcomes.
Yes. When properly implemented, large language models (LLMs) do not store or learn from your company data. In a retrieval-augmented generation (RAG) setup, your data remains within your secure environment and is only used temporarily to generate context for a single response. Neither OpenAI, Gemini, nor any other model provider gains access to or retains this information.
At UKAD, we ensure all data transfers are encrypted, API access is protected by roles, and deployments can run entirely within your infrastructure for full governance and compliance.
Absolutely. We can deploy your AI assistant software within your preferred cloud or on-premise environment, ensuring full compliance with your IT, security, and access control policies.
With usage-based models like GPT-5, you only pay for what you use. Pricing starts at around $1.25 per million input tokens and $10 per million output tokens, so typical queries cost just a few cents. As your AI Developer Company, UKAD helps you select the most efficient configuration for your workload and budget.
We support GPT-5, GPT-4o, GPT-4.1, and other models such as Mistral, LLaMA, DeepSeek, and Gemini, depending on your performance, data sensitivity, and budget requirements. Our expert team helps you select the right model architecture for your AI-powered virtual assistant or automation use case.
Yes. AI assistants can connect to workflow automation tools such as n8n or internal APIs to trigger actions like sending notifications, updating records, or starting approval flows. These capabilities make AI assistant software an effective solution for automating business processes and reducing manual work.
Our blog shares real-world advice on AI assistant development, LLM use cases, RAG pipelines, fine-tuning, and integrating AI with enterprise data systems.
UKAD has been named a Microsoft Solutions Partner for Data & AI (Azure). In this post, we explain what this recognition means, how it reflects the way we approach AI development, and what kind of support businesses can expect when working with us, like building AI tools or integrating machine learning into real operations.
Thinking about building an AI assistant but unsure what it actually involves or how much it might cost? This guide breaks it down in plain terms. You’ll learn what affects the price, how long development takes, and what technologies are involved. We’ll also look at hosting options, ongoing costs, and smart ways to keep your AI budget under control.
Learn how n8n enables efficient automation of AI workflows through a low-code interface, 420+ integrations, and support for custom logic. Discover how teams can quickly build, deploy, and manage AI-driven processes while maintaining complete control over data and infrastructure. Ideal for DevOps engineers and business leaders integrating AI into real operations.
Artificial intelligence (AI) is revolutionizing industries, but many business owners think they need to build custom models from scratch to benefit. In reality, by customizing existing large language models (LLMs), businesses can automate tasks, improve efficiency, and access specialized knowledge without the time and expense of developing their own AI solutions. In this article, we’ll explore how techniques like prompt engineering, fine-tuning, and embedding retrieval can help your business tailor AI to meet its unique needs.
The UKAD team explores how AI is being used across the B2B ecommerce lifecycle to quietly improve the way things already work. It covers real-world use cases, practical benefits, and what teams should know before getting started, including search and demand forecasting, pricing, support, and content management. If you’re dealing with scale, complexity, or growing expectations, this guide is written for you!
