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It depends on what you need. We run 20 day AI prototype sprints. Or if you are looking for a well-considered website or app it might take around twelve to sixteen weeks for a well-scoped MVP. Some projects extend and we have some clients who have successful products that we have been developing for years. Equally, a discrete Proof of Concept may take one month.

By getting everyone in the room, ideally in person (although not always possible), in a kick-off workshop where we build understanding together and agree priorities. We have tried and tested workshop formats that help us extract and discuss what is important to the business and your customers.

All successful AI & digital products require ongoing TLC so the answer is yes. Some clients have monthly retainers which allow us to keep software updated and secure and others have retained team models where we continue to build out new features and develop their roadmaps. In some cases we even help our clients to build their own in-house teams and support them throughout the recruitment process.

We like to think of ourselves as tech-agnostic, and are firm believers in the right tool for the right job. We subscribe to a composable architecture point of view, and we also have our preferences. We love the JavaScript framework React, but also feel at home in most coding languages. With AI coding assistants, we have found that an experienced software engineer is able to work with most modern languages.

Yes, with a modern slant. Our focus is on Generative Engine Optimisation (GEO) - making sure your brand and content are visible, understood and cited across ChatGPT, Claude, Gemini and the other AI platforms that are fast becoming the new front door. That covers crawlability, structured data, schema, llms.txt and live benchmarking of how you show up in AI-generated answers, alongside traditional SEO fundamentals. We also keep close relationships with specialist SEO agencies and can introduce you when a project needs that deeper focus.

We have tools to help you understand what's important for your product, and with over 20 years' experience in building digital solutions, we can provide guidance on budgeting.

One of the advantages of working with an agency like Kyan is that we have all the disciplines needed to deliver a successful product, all working under one roof. A typical project team would be made up of a Product Manager, a UX/Product Designer, a Front-end Engineer, a Back-end Engineer and a QA Engineer, all used to working closely together.

We are well versed in working alongside other agencies and experts in their field. Some of our most successful partnerships have been working with internal product and tech teams, who are often too stuck in the day to day to be able to work on new initiatives or features.

We love to work with a range of different sized organisations and can bring the learnings of both sides to our project work, from the speed and pragmatism of a startup to the governance and process of a larger organisation.

We sit at the intersection of strategy, engineering and product. On the consultancy side we help you figure out where AI can actually move the needle in your business, rather than chase hype, mapping opportunities against value, risk and feasibility, and shaping a roadmap your team can run with. On the build side we design and ship the systems, AI products, agents and integrations that make that roadmap real, plugged into your existing platforms and ready for day-to-day use. A standard digital agency tends to specialise in marketing sites, content and campaigns. We go deep into business operations, data, agentic workflows, governance and the engineering required to make AI a reliable, measurable part of how your business runs.