AI Development & AI Agents

AI Development Services for UK Businesses

Artificial intelligence has moved from research demos into production systems that real businesses depend on. The organisations getting genuine value out of it are not the ones chasing every new model release — they are the ones building deliberately, with engineering discipline, on top of capabilities they actually understand.

Dev Team Solutions is a UK AI development consultancy based in Dolgellau, Wales, working with organisations across the country. We bring more than 25 years of production software experience to AI projects, with long-standing clients including Network Rail and RNIB. Whether you need a custom AI agent, a generative AI feature inside an existing product, or a development partner that uses AI to ship faster than a traditional agency, we can help.

Custom AI Agent Development

The shift from chatbots to agentic AI is the defining change in business software in 2026. An AI agent is more than a chat interface — it is a software entity that understands a goal, reasons about how to achieve it, and takes action by calling tools, querying data, and coordinating with other systems. Done well, an agent replaces categories of repetitive work and unlocks experiences that were not previously possible.

We design and build custom AI agents tailored to your business and grounded in your data:

• Customer service agents that triage tickets, resolve common issues end-to-end, and escalate to humans with full context
• Internal productivity agents that answer staff questions from internal knowledge bases, summarise documents, and automate report generation
• Operational agents that monitor systems, react to events, and orchestrate workflows across CRMs, ERPs and bespoke applications
• Sales and marketing agents that qualify leads, personalise outreach, and surface insights from CRM data
• Recruitment agents that screen applications, match candidates to roles and assist hiring teams — drawing on our deep job board and recruitment experience
• Vertical AI agents built around the specific terminology, regulations and workflows of your sector rather than a generic horizontal assistant

Every agent we build is constrained by your business rules, observable so you can see exactly what it is doing and why, and engineered for reliable behaviour in production rather than impressive demos.

Multi-Agent Orchestration

For more complex problems we design multi-agent systems where specialised agents collaborate — for example, a research agent that gathers information, a planning agent that decides what to do with it, and an execution agent that takes the action. We use frameworks such as LangGraph, CrewAI and the Microsoft Agent Framework to build these systems, choosing the right tool for the job rather than committing to any single ecosystem.

MCP Server Development

The Model Context Protocol (MCP) has become the standard way to expose your systems, data and tools to AI agents and AI-powered IDEs. We build custom MCP servers that let agents — whether ours, your own, or third-party tools like Claude Code — interact with your APIs, databases and internal services securely and consistently. If you want your applications to be first-class citizens in the agentic AI ecosystem rather than locked behind bespoke integrations, MCP is the route.

Generative AI and RAG

Not every problem calls for a full agent. Many of the highest-value AI features are simpler integrations of large language models into existing applications:

• Natural-language search that understands what users actually mean rather than matching keywords
• Document summarisation for long contracts, meeting notes, technical reports or customer interactions
• Content generation for product descriptions, job adverts, marketing copy and personalised communications
• Intelligent data extraction from CVs, invoices, forms and unstructured sources
• Conversational interfaces that let users interact with complex systems in plain English

For AI features that need to draw on your own knowledge — internal documents, product data, customer records, regulations — we implement retrieval-augmented generation (RAG) pipelines. RAG combines the reasoning power of modern LLMs with the accuracy and privacy of your own data, using vector databases such as Pinecone, Qdrant or pgvector. For more sophisticated requirements we build agentic RAG, where an agent decides what to retrieve, evaluates the quality of what it gets back, and iterates until it has a good answer. This is the right architecture when an off-the-shelf chatbot is not enough and you need an AI feature that genuinely knows your business.

AI-Augmented Software Delivery

The second half of our AI story is how we use AI to deliver the rest of our work — websites, applications, integrations, modernisations — faster and more reliably than a traditional agency.

AI-Augmented Planning and Context Engineering

Discovery and scoping used to consume weeks of stakeholder workshops and document reviews. With modern AI in the toolkit that timeline compresses sharply. We use AI to summarise existing documentation, surface inconsistencies in requirements, generate first-draft user stories and explore architectural options in parallel. Good outcomes here depend less on prompt tricks and more on context engineering — feeding the right information to the model at the right moment — and that is an engineering discipline our team has built up over many AI-assisted projects.

Rapid Prototyping With AI

Once we know what we are building, AI tooling lets us produce working prototypes in hours rather than days. We generate code skeletons, test scaffolding and UI mockups, then iterate with the client in near real-time. A working prototype unlocks better feedback than any specification document ever will, and AI makes that prototype affordable to throw away and rebuild as understanding improves.

For existing systems, AI helps us read large legacy codebases quickly, identify safe refactoring opportunities and propose targeted modernisation rather than risky wholesale rewrites.

Quality Without the Bottleneck

AI also strengthens quality assurance. Automated code review, intelligent test generation and security scanning all benefit from current AI tooling. Our engineers stay accountable for what ships, but they spend less time on routine checks and more time on the judgement calls that matter.

Production-Ready, Not Demo-Ware

Many AI projects look impressive in a sandbox and quietly fall over in production. We build for the opposite outcome. Everything we deliver sits on the engineering foundations we have refined over more than 25 years:

• Secure by design, with proper authentication, authorisation and data protection
• Observable and testable, using OpenTelemetry and agent-aware tracing so you can monitor model behaviour and catch regressions
• Cost-aware, with prompt caching, careful model selection (Claude Opus 4.7 where reasoning matters, Haiku for high-volume routine work) and predictable AI running costs
• Reliable in production, with sensible fallbacks for when an AI call fails, returns unexpected output, or hits a rate limit
• Built on familiar platforms including C#, .NET, Python, Azure and SQL Server — no exotic stacks no-one else can maintain

Responsible and Compliant AI

We take a pragmatic, grown-up approach to AI safety and governance. That means honest conversations about what AI can and cannot do reliably, clear data-handling practices that respect GDPR and your customers’ trust, and a strong preference for transparent, auditable systems over black-box magic.

For UK organisations, regulation is moving fast. The high-risk obligations of the EU AI Act come into force in August 2026, the FCA expects human-in-the-loop oversight for AI use in regulated financial services, and sector-specific guidance is tightening across healthcare, recruitment and the public sector. We build to those standards from day one — including human-in-the-loop design for decisions that matter, audit logging of agent actions, and guardrails that constrain what an agent can do and to whom.

Why Work With Dev Team Solutions

Plenty of agencies discovered AI six months ago. We are not one of them, and we bring engineering maturity to AI projects that pure AI-native shops often lack:

• Realistic scoping that distinguishes genuine AI opportunities from hype-driven distractions
• Senior engineers who have shipped production systems for over two decades and know how to make AI features behave in the real world
• End-to-end delivery from discovery through development, integration, hosting and ongoing support — not a hand-off after the proof of concept
• UK-based team in Wales, easy to reach, accountable, and a refreshing alternative to London agency rates
• Strong fit for SMEs and mid-market — we build serious AI without the enterprise consultancy overhead, while still meeting the standards our enterprise clients (Network Rail, RNIB) expect

Get Started With AI

Whether you are exploring where AI might add value in your business, ready to build a specific AI agent or generative AI feature, or simply want a UK development partner who uses AI tooling to ship faster than the competition, we would be glad to talk. Contact us to start the conversation.