Direct answers for owners researching AI partners—also available on our general FAQ page.
- What is AI consultancy at Shoreline Systems?
- We help UK small businesses and startups decide where artificial intelligence genuinely helps—then design and build the software around it. That includes discovery workshops, feasibility reviews, integration planning, and hands-on development of assistants, automations, and AI features inside your existing web apps or sites.
- Do you build custom AI products or only advise?
- Both. Consultancy covers strategy, vendor choice, data readiness, and risk framing. Development covers production features: retrieval-augmented search over your content, workflow automations, admin copilots, classification and extraction pipelines, and APIs wired to models you control or host in the UK/EU where required.
- Which AI tools and models do you work with?
- We are model-agnostic and choose based on your constraints: OpenAI, Anthropic, Azure OpenAI, open-weight models, and embedding providers. We favour clear boundaries—what runs in your app, what calls an API, what is logged—and architectures you can maintain after launch rather than one-off demos.
- How do you handle UK data protection and AI risk?
- We map personal data flows early, minimise what leaves your environment, document purposes and retention, and align with UK GDPR expectations and sensible AI governance (human review for high-impact decisions, testing for bias and failure modes, opt-outs where appropriate). We do not promise legal advice—we work alongside your policies and counsel when needed.
- How much does an AI project cost?
- A focused discovery or proof-of-concept often starts in the low thousands of pounds; production integrations and custom apps scale with scope, model usage, and ongoing monitoring. After a short brief we provide a written estimate with assumptions about data, hosting, and API costs so you are not surprised by run-rate fees.
- Can AI work be combined with a new website or web app?
- Yes. Many clients want search-friendly marketing sites plus embedded assistants, lead qualification, or internal tools. We use the same engineering discipline—Angular front ends, .NET APIs, MongoDB where persistence matters—so AI features are not bolted on as an afterthought.