AI & websites / AMEY & CO
AI websites: more for your budget, built to last.
AI can make website development faster and more ambitious. Here is where the value comes from, what still needs expertise, and how to understand the costs beyond the first build.
Amey & Co · 5 min read ·
A better starting point for your website
AI has opened up useful possibilities for businesses commissioning a website. Ideas can become working prototypes sooner. Repetitive development tasks can take less time. A team can explore different ways of presenting a product or explaining a service before committing to the final approach.
For a business owner, that should translate into a better use of the budget. Depending on the brief, it might mean a lower production cost, more scope for the same investment, or more time spent refining the customer experience. We believe those gains should be visible in what you receive.
Two different ways a website can use AI
First, AI can help the people building your website. They might use it to explore a layout, draft code or organise content. The finished website can then run as an ordinary website, without calling an AI service each time someone visits.
Second, AI can be a feature inside the website: a product adviser, a search assistant or a tool that answers questions. That brings a different set of requirements, including the information it can access, the quality of its answers, its running costs and what happens when it cannot help. A website built with AI does not automatically need an AI feature.
Where the extra value should show up
Consider an independent retailer moving online. AI might help accelerate the initial page build and explore variations of product copy. The time released can go into clearer photography, easier collection browsing, better mobile layouts and helpful post-purchase emails. Those are improvements customers can experience.
Or take a service business. A faster first build could create room to explain its services properly, show relevant work and make an enquiry form easier to complete. The value comes from finishing those connections. Adding pages or features only helps when they make the site more useful.
Creative direction matters throughout. We need to understand the customer, choose the right message and judge whether the result belongs to your brand. AI can produce options quickly; experience helps turn the right option into finished work.
A working preview still needs a proper build
A convincing demonstration is a useful milestone. Before a business relies on it, the website needs to work with real content, real customers and the systems behind the scenes. A shop may need stock, delivery rules, payment handling and order emails. A service business may need enquiries routed to the right person and recorded correctly.
This is where implementation time goes: connecting systems, handling missing or invalid information, testing on different devices and checking that the team can manage the site. An attractive form is only useful if the enquiry reaches someone. A checkout needs to handle an unsuccessful payment as carefully as a successful one.
GitHub’s guidance for its AI coding assistant says generated code can be inaccurate or contain security weaknesses and should be reviewed and tested. A tool producing code quickly does not establish that the complete system is ready for customers.
Security is part of the work
Every website needs protection appropriate to what it does. A simple public information site has different needs from a customer portal holding private records. For an account-based site, testing should include whether one customer can access another customer’s information. Secret access keys belong on the server, outside the code sent to a visitor’s browser. Updates, backups and recovery arrangements also need an owner.
A website with a live AI assistant adds another consideration. A visitor might try to persuade the assistant to ignore its instructions or reveal information. This is commonly called prompt injection. The assistant’s access must therefore be limited by the application itself; a sentence telling it to behave is not a substitute for permissions. OWASP’s GenAI security guidance covers these types of risks.
The aim is a proportionate approach. Keep the data and actions available to the feature limited to its actual job, check its responses and give customers a useful route to a person when it cannot resolve their request.
What are you paying for?
The cost of an AI tool is one part of a website project. The full investment includes understanding the brief, designing the experience, preparing the content, implementing the site and making sure it works. A clear proposal should separate the initial work from ongoing costs.
Running costs depend on the choices made. Hosting, software subscriptions, email services and maintenance may be relevant. An AI feature can add usage charges and monitoring; a site simply built with AI may have no ongoing AI usage bill. Some infrastructure is billed by use, so expected traffic and sensible spending controls matter.
Ask what is included, which accounts you own, what happens if you change supplier and how costs might grow. You should be able to distinguish essential running costs from optional improvements. There is no single meaningful price for an AI website without knowing its purpose and scope.
Example of usage-based infrastructure costs: Cloudflare Workers ↗
SEO still needs something worth finding
AI can help structure a page or develop a first draft, but useful search content starts with what your business knows and what customers need. Service explanations, accurate product details, genuine case studies and answers to real questions give the website substance.
Google’s guidance focuses on accuracy, quality and relevance. Generating many pages without adding value can breach its spam policies. We would use the time saved in drafting to improve the evidence, clarity and connections between pages, with claims checked before publication.
The questions worth asking before you start
What will the website help customers do? Where will AI make the work more efficient? How will that saving benefit the project? Which parts still need specialist attention? These questions keep the conversation focused on value.
Also ask how the site will be tested, who will maintain it and whether your team can update it. If there is an AI feature, ask what it can access, how usage is charged and what customers see when it fails. A clear answer should make the project easier to understand.
Our approach: make the tools earn their place
At Amey & Co, we see AI as a way to bring more creative and practical possibilities to a brief. We combine it with design judgement, an understanding of the business and the work needed to make a website useful after launch.
The contribution of a growth partner is to join those parts together: a recognisable brand, a website people can use, marketing that brings relevant visitors and a way to understand the results. We want the gains from AI to show up in that finished experience. Faster production gives us an opportunity to deliver more; a clear brief and careful implementation make that opportunity count.