Custom AI Assistant and Chatbot Development

Domain-specific AI agents for businesses across the UK and Isle of Man. Customer support, internal knowledge, and process guidance - grounded in your data, with appropriate guardrails.

Book a Free Consultation

AI Assistants That Actually Work

We build custom AI assistants and chatbots for businesses across the UK and Isle of Man. Domain-specific AI agents that handle customer queries, guide users through complex processes, support your internal team, and perform tasks within your specific business context - reliably, with appropriate escalation when they reach the limits of their competence.

The gap between an AI chatbot that works in a demo and one that works reliably in production is significant. General-purpose chatbots trained on internet data do not know your products, your policies, your processes, or the specific context of your customer relationships. Chatbots without appropriate guardrails will confidently answer questions they cannot answer correctly. We build AI assistants that are grounded in your specific knowledge, honest about what they do not know, and designed to escalate to a human when the situation requires it.

Every AI assistant we build is designed and delivered personally by Owen Jones, OLXR's founder and lead engineer. We use AI assistants extensively in our own work and bring practical experience of what makes them reliable and useful rather than impressive in demonstration but frustrating in daily use.

Who This Is For

Businesses with high volumes of repetitive customer queries that follow predictable patterns
Organisations that want to provide 24/7 support capability without proportionally increasing headcount
Teams that need an internal AI assistant with access to company knowledge
Businesses with complex onboarding or guidance processes that would benefit from conversational delivery
Companies that want to add AI-powered assistance to their existing platforms
Businesses where customer-facing communication needs guardrails, escalation, and grounding in verified information rather than general AI output

What We Deliver

Customer-Facing Assistants

Chatbots grounded in your product knowledge, policies, and FAQs.

Internal Knowledge Assistants

AI agents with access to your documentation, policies, and historical data.

Process Guidance Agents

Conversational AI that guides users through complex processes step by step.

Retrieval-Augmented Generation

AI responses grounded in your specific knowledge base.

Escalation Logic

Clear pathways to human agents when AI reaches its limits.

Conversation Analytics

Visibility into what users are asking and how the AI is performing.

Platform Integration

Embedding AI assistants into your existing website, application, or tools.

Multi-Language Support

Assistants that handle queries in multiple languages where your customer base or team requires it.

Our Approach

1
Ground Responses in Your Knowledge

A general-purpose AI model knows a great deal about the world but nothing specific about your business, your products, or your customers. We implement retrieval-augmented generation - a technique that gives the AI access to your specific knowledge base and grounds its responses in that information rather than general training data. This dramatically improves the accuracy and relevance of responses for your specific domain, and reduces the hallucination risk that makes general-purpose AI assistants unreliable for customer-facing use.

2
Design Appropriate Guardrails

AI assistants without appropriate guardrails will attempt to answer questions they cannot answer correctly, will stray into topics they should not address, and will occasionally produce responses that are embarrassing or harmful to your business. We design explicit guardrails that define what the assistant is and is not authorised to discuss, how it should respond when it encounters questions outside its competence, and when it should escalate to a human rather than attempting an answer.

3
Monitor and Improve

AI assistants in production need ongoing monitoring and improvement. Conversations need to be reviewed to identify failure patterns, new questions that are not being handled well, and responses that need to be improved. We build the monitoring and review tooling that makes this possible and work with you after launch to improve the assistant's performance over time.

Why Choose OLXR

We use AI assistants extensively in our own work, which gives us practical insight into what makes them genuinely useful versus merely impressive. The difference is reliability, appropriate boundaries, and graceful handling of uncertainty.

Senior-Led

Built by someone who uses AI assistants daily

Guardrails Built In

Honest about limitations, escalates appropriately

Knowledge-Grounded

Responses based on your data, not general internet

Ongoing Improvement

We monitor and improve after launch

The gap between an AI chatbot that works in a demo and one that works reliably in production is significant.

OJ
Owen Jones
Founder & Lead Engineer

Technologies We Use

OpenAI
Claude
Vector Databases
Embeddings
C#
ASP.NET Core
Python
AWS
Azure
REST APIs
n8n

Don't see your stack? Get in touch.

Frequently Asked Questions

We use retrieval-augmented generation to ground AI responses in your specific knowledge base, implement output validation to catch responses that fall outside acceptable parameters, design escalation pathways for questions the AI cannot answer with appropriate confidence, and build human review workflows for consequential responses. No AI assistant is correct 100% of the time - the goal is a system design that handles uncertainty gracefully rather than confidently presenting incorrect information.

Yes - AI assistants that can access your live data are significantly more useful than those that only know about historical documentation. We integrate AI assistants with your existing databases, APIs, and platforms so they can retrieve current information, check account status, access order history, and take actions within your systems where appropriate.

Escalation to a human agent is a first-class feature of every AI assistant we build. We design the escalation triggers - situations where the AI should proactively hand off rather than continuing - and integrate with your existing customer service platform so handoffs preserve the conversation context. The customer should never have to repeat themselves when transferred to a human agent.

Ready to Build Your AI Assistant?

Tell us what you need your AI assistant to do. We will give you an honest view of what is achievable, what the limitations are, and what it would take to build it properly.

Book a Free Consultation