DevIT Group is an AI development company helping UK and international businesses identify, build, and deploy practical AI that solves real operational problems. We work with companies that want concrete results, not slide-deck strategies. If you have a process that costs too much, takes too long, or breaks too often, there is likely an AI solution worth building.
Book a free 30-minute consultation and we will tell you honestly whether AI can help and what it would cost.
AI Consulting Services: What We Do
Our AI consulting services cover the full delivery cycle, from identifying where AI creates value in your business through to production systems running in your infrastructure. We do not hand you a report and disappear. We build.
AI Strategy and Opportunity Assessment
Before writing a line of code, we map your existing workflows, data assets, and pain points. The output is a prioritised list of AI use cases ranked by implementation cost and expected return. Most clients are surprised to find their highest-ROI opportunity is not the one they assumed.
Custom AI and LLM Application Development
We design and build bespoke applications on top of large language models, fine-tuned or prompted to match your domain. Whether that is a specialist internal tool, a customer-facing product, or a back-office automation, we own the full build in .NET or Python.
Generative AI Consulting and Solutions
Our generative AI consulting practice focuses on use cases where content generation, summarisation, classification, or reasoning creates measurable time or cost savings. We have delivered generative AI systems for legal document review, customer communications, technical report drafting, and operator decision support.
RAG Knowledge Systems
Retrieval-Augmented Generation (RAG) lets a language model answer questions grounded in your specific documents, databases, or knowledge bases, rather than relying on general training data. We build RAG pipelines that connect your internal knowledge to an AI interface your team can actually use.
AI Workflow Automation and Agentic AI
Agentic AI systems go beyond question-and-answer. They observe inputs, make decisions, call external tools, and take actions, all within defined boundaries. We have built agents that process incoming documents, route support tickets, trigger downstream API calls, and compile reports without human intervention at each step.
Model Selection and Integration
Choosing the right model matters. We evaluate options against your latency, cost, data sensitivity, and quality requirements, then integrate the selected model into your existing stack via clean APIs. We work with hosted and self-hosted models depending on what your situation requires.
How We Work: From Discovery to Production
Our process is structured to reduce risk and accelerate time to value. Each phase has a clear output so you always know what you are getting and what comes next.
Discovery Workshop
We spend one to two days with your team, in person or remote, working through your processes, data, and goals. The deliverable is a prioritised AI opportunity map with rough effort and ROI estimates for the top three to five candidates.
Proof of Concept
We build a working prototype of the highest-priority use case in two to four weeks. The goal is not a polished product. It is a real system processing real data that lets you and your stakeholders decide whether to invest in a full build. POCs start from $5,000.
Production Build
Once a POC is validated, we scope and build the production version. This includes proper error handling, logging, security review, user interface where needed, and documentation. Production projects typically run $15,000 to $60,000 depending on scope and complexity.
Integration with Existing Systems
AI tools only create value when they connect to the systems your team already uses. We integrate with your CRM, ERP, document management platforms, internal APIs, or databases so the AI fits into existing workflows rather than creating a new silo.
Monitoring and Iteration
Production AI systems need ongoing attention. Prompts drift, data changes, and user behaviour evolves. We offer monitoring retainers and iterative improvement cycles so your system continues to perform after launch.
Models and Technology We Use
We are model-agnostic. We select the right tool for each project rather than defaulting to a single provider because it is convenient for us.
Language Models
We work with OpenAI GPT-4o and o-series models, Anthropic Claude, and DeepSeek for hosted options. For clients with strict data privacy requirements, we deploy open-source models including Llama and Mistral on-premise or in a private cloud environment. Self-hosted deployment means your data never leaves your infrastructure.
Development Stack
Our engineering team works in .NET and Python, the two stacks that cover the majority of enterprise AI integration work cleanly. We deploy on Azure and AWS, and we can work within your existing cloud tenancy or set up isolated environments for sensitive projects.
For AI-adjacent integration work, see our AI integration services page.
Why Choose DevIT Group as Your AI Consulting Company
There are many AI consultancies operating right now. Here is what makes DevIT Group a different kind of AI consulting company.
Senior Engineers, Not Junior Rotation
The engineers who scope your project are the engineers who build it. We do not hand off to a junior team once the contract is signed. Our senior developers stay on the project from discovery through delivery.
UK-Registered with Eastern European Delivery
DevIT Group is registered in the UK, so you get a familiar contractual relationship, straightforward invoicing, and a team that operates in your time zone overlap. Our engineering team is based in Eastern Europe, which means our rates are competitive without compromising on technical quality.
Transparent Rates and Full IP Ownership
We quote fixed prices or clearly defined time-and-materials rates before work begins. There are no hidden costs. Every system, codebase, and model configuration we build for you is yours. You own 100% of the intellectual property from day one.
Direct Communication
You communicate directly with the engineers and project lead. No account managers translating between you and the technical team. No ticket queues for questions that need a real answer. Direct Slack channels, regular video calls, and honest updates when something changes.
Real Results from Our AI Development Work
These are outcomes from projects we have delivered, not projections.
Operator Dashboard with AI Decision Support
A client running a monitoring-intensive operation used a team of two operators per shift to watch dashboards, interpret alerts, and decide on responses. We built an AI operator assistant that aggregates signals, surfaces relevant context, and recommends actions with explanations. The result: one operator per shift handles the same workload with greater consistency and fewer missed events.
Document Processing Automation
An operations team was manually re-keying data from incoming supplier documents into their internal system, a process that took several hours per day and introduced frequent errors. We built a document ingestion pipeline using a vision-capable LLM to extract structured data and map it directly to their database schema. Manual entry dropped by more than 80%.
Customer Support Chatbot
A SaaS business was routing all inbound support queries to a human team, including a high volume of questions answered in their existing documentation. We built a RAG-powered chatbot trained on their knowledge base and connected to their helpdesk platform. Within six weeks of launch, the bot was handling over 60% of routine queries without human involvement, freeing the support team for complex cases.
AI Development and Consulting Pricing
We believe you should know what things cost before committing to anything. Our pricing structure is straightforward.
AI opportunity assessment: included in a paid discovery workshop, typically one to two days.
Proof of concept: from $5,000 for a working prototype against your real data, delivered in two to four weeks.
Production AI build: $15,000 to $60,000+ depending on complexity, integrations required, and model infrastructure.
Ongoing monitoring and iteration retainer: available monthly after production launch.
Every engagement starts with a free 30-minute call. We will tell you what we think before you spend anything.
Frequently Asked Questions
Do we need large amounts of data to get started with AI?
Not always. Many valuable AI applications, including document processing, Q&A systems, and workflow automation, work well with the data you already have. We assess your data situation in the discovery phase and tell you what is realistic. Some use cases do require data preparation or collection first, and we will be direct about that.
How do you handle data privacy and security?
Data handling depends on the model and infrastructure we select for your project. For sensitive data, we recommend self-hosted open-source models deployed in your own cloud environment or on-premise, so no data leaves your control. Where hosted APIs are appropriate, we work within the data processing agreements of providers like OpenAI and Anthropic and advise on any additional contractual steps you may need.
How long does an AI project take from start to finish?
A proof of concept typically takes two to four weeks. A production build, depending on scope and integration complexity, usually takes six to sixteen weeks. We scope each project individually after the discovery phase so you get an accurate timeline, not a generic estimate.
Can you integrate AI into our existing software?
Yes. Most of our projects involve connecting AI capabilities to existing platforms, whether that is a CRM, ERP, internal database, document management system, or customer-facing product. We work via APIs and direct database connections and can build within your existing cloud tenancy. We do not require you to replace existing systems to add AI capability.
What is the difference between a proof of concept and a production build?
A proof of concept is a functional system built for validation. It processes real data and demonstrates the core capability, but it is not hardened for scale, full security review, or end-user polish. A production build takes the validated concept and builds it to the standard required for live use: error handling, monitoring, documentation, security review, and a proper user interface where needed.
Do you work with businesses outside the UK?
Yes. We work with clients across Europe, North America, and further afield. The majority of our engagements run remotely with scheduled video calls and direct messaging channels. For UK clients, in-person workshops in London or other locations are available.
Start Your AI Project with DevIT Group
If you have a process that wastes time or a problem that repeats, there is a good chance a well-built AI system can address it. DevIT Group has the engineering depth to build it and the honesty to tell you if it is not the right answer for your situation.
Book a free 30-minute consultation and get a direct, honest assessment of where AI can create real value for your business.