Webshark is an AI development company and AI consultancy for UK businesses that want results from AI, not just experiments. We start with a short AI consultancy engagement to find the use cases with the clearest return, such as answering customer questions, processing documents, qualifying leads or forecasting demand. Then our engineers build secure AI agents, LLM and RAG applications, chatbots, document automation and machine learning models that connect to your CRM, ERP, SharePoint and other systems. We work with OpenAI, Anthropic, Google Gemini, open-source models and Azure or AWS AI services, with UK or EU data hosting where needed. As the team behind Webshark Health and Tender 9, we ship AI products ourselves. Want to explore generative AI in depth? See our AI development services.
Years of Software Engineering Experience
Projects Delivered Across Industries
Countries Served, Including the USA
Active Clients Trusting Our Engineering
Every AI project for UK clients follows ISO 27001 certified security and CMMI Level 3 processes, with UK GDPR-aligned data handling, the ICO's AI guidance, human oversight and clear audit trails for AI decisions.
From an AI readiness workshop to production AI agents, our AI development company covers strategy, build and support.
Strategy, data, engineering and change management delivered by one team.
Use-case discovery, business cases and AI roadmaps.
Agents that research, draft, update systems and complete tasks.
Chatbots and assistants grounded in your own documents and data.
Extract data from invoices, contracts and forms automatically.
Forecasting, scoring and recommendation models.
Add AI to your CRM, ERP, helpdesk and internal tools.
AI only creates value when it is useful, safe and adopted. We focus on all three.
Our AI consultancy starts with your processes and costs, not with the latest model. We estimate hours saved, revenue gained or errors reduced for each use case, build a small pilot to prove it and only then scale. Many UK clients see measurable results within the first 8 to 12 weeks.
We design AI with UK GDPR and ICO guidance in mind: data minimisation, UK or EU hosting where needed, access controls, human review for important decisions and evaluation tests that track accuracy. You get AI your compliance team can sign off.
A staged approach takes you from idea to AI in production, with low risk at every step.
Every engagement with our AI development company UK team begins with a consultancy workshop held during UK hours, usually over one or two half-day sessions. We map your processes, data sources and pain points with the people who do the work, then score possible AI use cases by value, effort and risk. You receive a shortlist of high-return opportunities with rough savings estimates, so leadership can choose where AI should start.
Next we review the data behind each shortlisted use case. We check quality, volume, access rights, where it is stored and any personal or sensitive information under UK GDPR. Our engineers test candidate models and approaches, such as retrieval-augmented generation, classification or document extraction, against sample data. Over one to two weeks you receive a feasibility report, a recommended architecture and an honest view of what AI can and cannot do here.
We then build a working proof of concept in 3 to 6 weeks. It might be an internal knowledge assistant, a document processing pipeline or an AI agent handling one workflow. Real users test it with real data, and we measure accuracy, response speed, cost per task and time saved. You receive the pilot, an evaluation report and a go or no-go recommendation, so you invest in production only when results justify it.
Once the pilot proves its value, we harden it for production. That includes single sign-on, role-based access, audit logging, encryption, rate limits and guardrails against prompt injection and incorrect answers. We add automated evaluation tests so accuracy is checked on every release, plus monitoring dashboards for cost and usage. You receive production-ready, documented code in your own repository, deployed to your cloud account in UK or EU regions where required.
We connect the AI solution to the systems your teams already use, such as Microsoft 365, SharePoint, Teams, Salesforce, HubSpot or your own databases, through secure APIs. Rollout happens in stages, starting with a pilot group before expanding across departments. We run training sessions, write short user guides and collect feedback in the first weeks. This careful approach builds trust with staff and makes sure adoption actually happens after go-live.
AI systems need ongoing attention, so we track accuracy, user feedback, response times and running costs every month. When answers drift or new documents and products appear, we update prompts, retrieval data and model choices, then rerun evaluation tests before each change goes live. You receive a monthly performance report with clear recommendations. This keeps the solution reliable, keeps cloud and API spend predictable and gives you evidence of return on investment.
When the first AI use case is delivering results, we help you extend it. That could mean rolling a knowledge assistant out to new departments, reusing the same retrieval platform for customer service, or automating the next workflow on your shortlist. Shared components such as security, logging and evaluation are reused, so each new project is faster and cheaper. You receive an updated AI roadmap that reflects real results rather than assumptions.
Use cases and business case.
Data and feasibility.
Working pilot with metrics.
Secure, integrated build.
Integration and training.
Ongoing evaluation.
Scaling across teams.
Our AI development company works with UK fintech, legal, healthcare, retail, property, education and professional services firms.
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Each industry has different data, rules and opportunities for AI.
Answers to the questions UK businesses ask before hiring an AI development company or AI consultancy: cost, data, risk and timelines.
With Webshark, an AI consultancy workshop and roadmap usually costs £3,000 to £10,000, a proof of concept £8,000 to £25,000, and production AI agents or LLM applications £25,000 to £120,000. The main cost drivers are the number of use cases, data preparation effort, integrations with systems such as Microsoft 365 or Salesforce, security and compliance requirements, and expected usage volumes, which affect model API costs. As an AI development company UK firms work with remotely, we offer fixed-price phases, so you can approve budget step by step rather than committing everything upfront.
Our AI consultancy engagement covers a review of your processes and data, use-case discovery workshops with your teams, and business cases with expected savings or revenue impact. We then recommend models and vendors, assess risks including UK GDPR, bias and accuracy, and produce a phased AI roadmap with costs and timelines. Typical engagements take two to four weeks and cost £3,000 to £10,000. You end with a clear, prioritised plan that your board can approve, whether you build with Webshark, another supplier or your in-house team.
A proof of concept usually takes 3 to 6 weeks, and production AI agents or LLM applications typically take 2 to 4 months, delivered in stages. A focused tool, such as a document summariser or internal knowledge chatbot, sits at the shorter end. Multi-step AI agents that update several systems, or solutions handling regulated data, take longer because of integration, security and testing work. Our AI development process includes a weekly demo, so you see working software early and can adjust priorities as results come in.
Yes. We use enterprise AI services from providers such as Azure OpenAI, AWS Bedrock and Anthropic that do not train on your data, and we host in UK or EU regions when data residency matters. We apply role-based access controls, encryption, audit logs and data minimisation, and follow UK GDPR, Data Protection Act 2018 and ICO guidance on AI and data protection. We can support your data protection impact assessment. Webshark is ISO 27001 certified, so information security is built into how our teams work every day.
We work with OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral and Azure or AWS AI services. Model choice depends on accuracy, cost, speed and data residency for your specific task. A customer-facing assistant may need a frontier model for quality, while high-volume document classification can run on a smaller, cheaper model. Open models such as Llama or Mistral can be self-hosted when data must stay in your own environment. We benchmark options on your data before deciding, and design the system so models can be swapped later.
Webshark has delivered 580+ projects for 280+ active clients across 18+ countries over seven years, under ISO 27001 and CMMI Level 3 certified processes. We build and run our own AI products in production, including Webshark Health, a Gen-AI powered health record app, and Tender 9, so our advice on accuracy, cost and reliability comes from real experience rather than slide decks. As an AI development company UK businesses can reach during their working day, we combine consultancy, engineering and support in one team, with fixed-price phases, weekly demos and full ownership of everything we build.
Yes. We build generative AI products including LLM applications, RAG chatbots that answer from your own documents, content and drafting tools, and AI agents that complete multi-step tasks across your systems. Typical UK use cases include contract review for legal teams, policy and procedure assistants for financial services, product description generation for retailers and tenant enquiry handling for property firms. Each product includes guardrails, citations and human review where accuracy matters. See our generative AI development page.
Yes. We integrate AI with Microsoft 365, SharePoint, Teams, Outlook, Salesforce, HubSpot, Dynamics 365, Zendesk and custom systems through secure APIs. Common examples include a Teams assistant that answers staff questions from SharePoint documents, AI that drafts email replies in Outlook, and CRM automation that summarises calls and updates records in Salesforce or HubSpot. Integrations respect your existing permissions, so users only see information they already have access to. This approach to AI integration keeps data secure and makes adoption easier for staff.
Our AI solutions are mainly built with Python, including frameworks such as LangChain and LlamaIndex, alongside vector databases for retrieval. Front ends and admin dashboards use React, Next.js or Angular, back ends use Node.js, Java Spring Boot or .NET, and mobile AI features use Flutter or React Native. We deploy on AWS, Azure or Google Cloud, often in UK regions. The stack is chosen to fit your goals, budget and in-house skills, so your own team can maintain the AI system after handover.
You do. All source code, prompts, evaluation datasets, fine-tuned model weights, designs, documentation and infrastructure scripts from your AI project belong to you once paid for. We sign an NDA before discovery starts and include clear IP assignment terms in the contract. Your data stays your data, and it is never used to train models for other clients. Code lives in a repository you control, and deployments run in your own cloud accounts, so you can move providers or bring the work in-house at any time.
Yes. Instead of a fixed-price project, you can hire dedicated AI engineers, Python developers and full-stack developers on monthly contracts. Teams range from one engineer to a full squad with a project manager, data engineer and QA, working in your sprints and tools with overlap across the UK working day. This model suits companies building an internal AI capability, running several AI projects at once, or extending an existing product with AI features over many months. See our hire full-stack developers page.
Yes. Our AI support plans cover model and accuracy monitoring, regular evaluation reviews, prompt and retrieval data updates, provider and model upgrades, security patches and new features. We watch API and cloud costs closely and recommend changes when cheaper or better models appear. Support tickets have agreed response times, and our team overlaps with the UK working day. You receive a monthly report on usage, accuracy, costs and work completed, so your AI solution keeps improving long after launch.