AI Services We Build for You
From chatbots and automation to custom LLM pipelines — we build AI that fits your business, not the other way around.
LLM Integration
Connect OpenAI, Anthropic Claude, Google Gemini, or open-source models directly into your product. We handle prompt engineering, API integration, context management, and cost optimisation.
Process Automation
Identify repetitive workflows and replace them with AI-powered pipelines. From document processing and data extraction to multi-step agent workflows using n8n, Make, and LangChain.
AI Chatbots & Agents
Custom chatbots and autonomous AI agents that handle support, lead qualification, onboarding, and internal knowledge queries — trained on your data, not generic internet content.
RAG & Knowledge Bases
Build retrieval-augmented generation (RAG) systems that let your AI answer questions from your own documents, PDFs, databases, and internal wikis — accurately, with cited sources.
AI Analytics & Insights
Predictive models, anomaly detection, and intelligent dashboards that surface the signals hidden in your data — helping teams make faster, better-informed decisions every day.
Custom AI Development
Need something that doesn't fit a template? We design and build custom AI pipelines, fine-tuned models, and multi-agent systems tailored exactly to your use case and infrastructure.
How We Deliver AI
A structured approach that goes from identifying the right problems to shipping AI that actually works in production.
Discover & Audit
We map your existing workflows, data sources, and tech stack to identify where AI adds genuine value — and where it doesn't.
Strategy & Design
A clear AI roadmap with use cases prioritised by impact, a model selection recommendation, and a data and integration plan before any build starts.
Build & Integrate
We integrate the chosen models and pipelines into your product or internal tools — with clean APIs, proper error handling, and full test coverage.
Train & Evaluate
Prompt engineering, fine-tuning where needed, RAG setup, and quality evaluation — we make sure the AI performs reliably before it goes live.
Deploy & Monitor
Production deployment with logging, cost monitoring, performance tracking, and ongoing iteration — so your AI keeps improving after launch.
Built for Agencies & AI-Driven Businesses
Choose How We Work Together
Whether you need a one-time AI build or an ongoing AI partner — we have a model that fits your team and budget.
AI Retainer
Best for teams that need ongoing AI development, iteration, and support — a dedicated AI partner month to month.
- ✓Continuous feature development
- ✓Monthly model evaluations & fine-tuning
- ✓Priority support & dedicated engineer
Project-Based
A fixed-scope AI build with clear deliverables, timeline, and price. Ideal for chatbots, integrations, and automation pipelines.
- ✓Defined scope & fixed timeline
- ✓Full handover with documentation
- ✓Post-launch support period included
Hire AI Engineer
A dedicated AI engineer embedded in your team — working in your tools, your timezone, and your codebase.
- ✓Full-time or part-time available
- ✓Works in your Slack, Jira & Git
- ✓Scale up or down monthly
No lock-in contracts · No retainer pressure · Switch models anytime.
Work We're Proud Of
AI projects we've designed, built, and shipped for agencies and businesses across industries.
AI Support Agent
Built a Claude-powered support agent for a SaaS platform — handles 65% of all incoming tickets autonomously, with human escalation for complex cases. Reduced support costs by 40%.
Order & Fulfilment Automation
Designed an AI-driven automation pipeline that processes orders, handles returns, and updates inventory across 4 platforms in real-time — eliminating 22 hours of manual work per week.
Internal Knowledge Base AI
Built a RAG system over 6,000 internal documents for an enterprise client — employees now get instant, cited answers from company policy, product specs, and SOPs in seconds.
What Our Clients & Partners Say
Agencies, business owners, and engineering teams who trusted us to bring AI into their products and workflows.
“Our AI support agent went live in six weeks and now handles two-thirds of our tickets without any human input. The quality of the responses is better than what our junior agents were writing manually.”
“DevriX built our entire AI pipeline in eight weeks — document ingestion, vector search, LLM response, and a clean API. What would have taken our team six months to figure out, they shipped and handed over with full documentation.”
“We saved 22 hours of manual work per week with the automation pipeline DevriX built. No off-the-shelf tool could have connected all our systems the way they did. It pays for itself every two weeks.”
Technologies We Work With
The AI toolchain we use to build, deploy, and maintain intelligent systems that are fast, reliable, and cost-efficient.
Frequently Asked Questions
Do I need a large dataset to get started with AI?
Not necessarily. Many of the most impactful AI solutions — chatbots, RAG systems, LLM integrations — work with existing documents, databases, and APIs rather than requiring a custom-trained model. We assess your data situation in the first technical call and recommend the right approach.
Which AI model should I use — OpenAI, Claude, or Gemini?
It depends on your use case, latency requirements, cost budget, and data privacy needs. We are model-agnostic — we evaluate the options objectively and recommend what genuinely fits, not what we have a commercial relationship with.
Can you integrate AI into my existing WordPress or Shopify site?
Yes. We have deep experience integrating AI into WordPress and Shopify — chatbots, product recommendation engines, automated content tools, and smart search. It's one of our most common project types.
How do you handle data privacy and GDPR?
We design AI systems with privacy from the start. This includes options for on-premise or private cloud model deployment, data minimisation, no training on customer data without consent, and GDPR-compliant logging and retention policies.
What is the difference between a chatbot and an AI agent?
A chatbot responds to inputs within a conversation. An AI agent can take autonomous actions — browsing the web, calling APIs, reading files, sending emails, or triggering workflows — without a human in the loop for each step. We build both, and often combine them.
What is RAG and when do I need it?
RAG (Retrieval-Augmented Generation) allows an AI to answer questions based on your specific documents, databases, or internal knowledge — not just its general training data. You need it whenever you want the AI to be accurate about your products, policies, processes, or proprietary information.
How long does an AI project typically take?
A focused integration — chatbot, automation pipeline, or RAG system — is typically 4–8 weeks from brief to launch. A custom AI product with model training and a full API layer is 10–16 weeks. We scope precisely in the first call.
What happens after the AI is launched?
We include a post-launch support period on all projects. For ongoing clients, we provide monitoring, cost tracking, model performance evaluation, and iterative improvements. AI needs maintenance — we make sure it keeps performing.
Ready to Build Your AI-Powered Product?
Tell us what you're trying to automate or build — we'll tell you exactly how AI can help and what it would take.