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AI and automation

Practical AI for the work your team repeats every week.

We help you pinpoint where AI actually makes sense for your business, train your team to use it with confidence, and build simple automations around the way you already work.

How we can work together.

You don't need to jump in at the deep end. We offer four straightforward ways to work together, whether you're just scoping out the possibilities or ready to build. A simple review or team training is usually the best place to begin.

Practical AI Audit

A realistic assessment of your operations to spot repetitive bottlenecks. We map out where information is manually moved or repeatedly requested, evaluate your existing internal knowledge, and deliver a short report that cuts through the noise: what will save you time, what isn’t worth the hassle, and what to set up first.

Hands-On Team Workshops

Training focused on your staff’s actual workload, not hypothetical examples. We show your team what AI handles brilliantly, where it gets things wrong, and how to build daily habits that keep your client and patient information completely secure.

Custom Built Assistants

AI assistants that draw exclusively from your verified information. Designed for customer-facing sites or internal team platforms, they operate safely within set guardrails: acknowledging their limits and directing users to human support when needed.

Everyday Automations

We connect your internal platforms, software, and website so information flows smoothly without manual copy-pasting. We sort incoming enquiries to the right team member, draft initial replies for quick approval, and automate repetitive reporting tasks.

Examples

What it looks like in practice.

Assistants that answer from your own information, and automations that bring the right information to you, so nobody has to go looking for it or build it by hand.

Read the Western Rheumatology case study

Six examples

  • Clinic website patient assistant

    The clinic’s assistant answers patients’ common questions using the clinic’s own information, so fewer people need to ring the practice. Patients can also order repeat prescriptions online.

  • Lead management

    Every enquiry from your website, email and socials lands in one place, sorted by what it is and how urgent it is, with a reply drafted for checking. Follow-ups go out on time, and you can see at a glance which leads are new, waiting or booked.

  • Your morning to-do list, in your inbox

    Before the day starts, an email arrives with what needs doing: enquiries waiting on a reply, today’s meetings, upcoming deadlines and anything that’s been left too long. You know where to start before you open anything else.

  • A research assistant on your market

    A short research note, ready each morning or before an important meeting. What competitors are doing, news in your sector and what people are searching for, so you get the headlines without the hour of digging.

  • Live reporting on your website and socials

    Website traffic, enquiries and social media results in one place, updated automatically. A plain-English summary tells you what changed this week and what’s worth acting on, so nobody has to build the report by hand.

  • Answers on your social channels

    The questions people ask in comments and messages, answered from your own information, like opening hours, availability or how to book. Anything new or sensitive goes to your team to reply to themselves.

How we work.

No AI for the sake of it. We keep every project focused and measurable, so you can judge whether it actually saved the time it was built to save.

  1. Look first

    We map out where your team’s hours actually go before building anything. If a job doesn’t need AI, or just needs a simpler fix, we’ll tell you straight.

  2. One workflow at a time

    We start with the task that offers the clearest payoff. We keep the scope tight and measure it directly against the time it was meant to save.

  3. Built with your team

    The people doing the job test the system while we build it. Their feedback shapes how it behaves, and they decide when it’s genuinely ready to use.

  4. Handed over cleanly

    We document every workflow so it runs smoothly without us. If you’d prefer us to keep looking after it, we can do that too.

Safety & Privacy.

  • Human-in-the-loop control

    Routine answers can be automated, but anything new or sensitive is prepared as a draft so a real person always has final approval.

  • Full data visibility

    We lay out every provider and their privacy terms before building. Confidential data is always protected and excluded from model training.

  • Grounded in your facts

    Assistants operate strictly within the boundaries of your internal information. If an answer isn’t in your docs or needs a human touch, it passes the question straight to a team member.

Who leads the work

Susan Ryan leads our AI work. Before founding the studio she supported critical infrastructure systems for London Underground and utility companies across the UK. Since 2023 she has trained clients’ teams to use AI in their everyday work.

How we’re using AI in our studio

Most of our day-to-day AI work happens in Claude Team Projects. Each client and each website we look after has its own project, holding the briefs, documents and instructions that work needs, so every conversation starts from the right context rather than from scratch.

We use the Team plan rather than personal accounts because of how it handles data. Under Anthropic’s commercial terms, our conversations and the documents in our projects are not used to train its models by default, and projects are visible only to people inside our studio account. As owners, we control the data settings for the whole account, including whether conversations can be sent to Anthropic as feedback.

Around those projects we have built workflows for the jobs that repeat: replying to enquiries, drafting quotes and proposals, writing care reports for the sites we maintain, and the admin behind each project. Each one produces a draft for one of us to check before anything goes out.

We are now setting up Hermes, an open-source agent that can carry out longer, multi-step tasks on its own, and running AI models locally on our own machines. Local models mean some work never leaves the studio, which matters for clients whose information should not go to an outside provider.

Susan’s AI work since 2023

  1. Early 2023ChatGPTGPT-3.5Drafting, research, and mostly just marvelling at this incredible new tech!
  2. Late 2023ChatGPT imagesDALL·E 3More wow moments. Type a few words, and a picture appears.
  3. Mid 2024Claude ProjectsAnthropicA project for each client and site, holding the documents and instructions the work needs.
  4. Early 2025AI CertificationTU DublinFoundations in AI, completed with distinction.
  5. 2025Claude CodeAnthropicBuilding websites and automations in code, this site included.
  6. 2025CodexOpenAIA second coding agent, used alongside Claude Code.
  7. Late 2025Skills and connected toolsAnthropicWe started building our own skills for the work we repeat, and connecting Claude to the tools we already use through MCP.
  8. Summer 2026Video and motion graphicsClaude, CodexExperimenting with Claude and Codex to make video and motion graphics.
  9. NowClaude TeamAnthropicOne shared workspace for the studio, with our projects, documents and ways of working in it.
  10. NowOur own second brainHermes Agent, Nous ResearchA longer-term project, running on our own local hardware. Free local LLMs handle most tasks, while we switch to Claude Opus for more complicated workflows. The future!

Questions.

Usually in the repetitive, text-heavy work: answering the same questions, summarising documents, drafting first versions and moving information between systems. The AI audit pinpoints where that time goes in your business, and where it doesn’t make sense at all.
We talk to the people doing the work, look at where information is moved, chased or retyped, and review what you already have written down. You get a short report on what’s worth doing, what isn’t, and where to start.
Yes. Plenty of teams start with a workshop to get comfortable with the tools before deciding whether to build anything. There’s no obligation to go further.
Anyone who will use AI in their work, from the front desk to management. We tailor each session to the group, so a reception team and a leadership team get different examples.
It’s very common, and it isn’t a problem in itself. The risk is client or company information going into tools nobody has checked. A workshop and a simple set of ground rules give your team clarity on what’s fine and what isn’t.
If your team uses AI at work, the Act expects you to take steps so they understand it, known as AI literacy. Our workshops are built with that in mind. If anything you’re planning needs a closer look under the Act, we’ll tell you before we build it.
It can be, with the right provider, settings and agreements in place. We check that before anything is built, and we will tell you if something you want to do is not a good idea.
Not on its own. It’s very good at first drafts, summaries and sorting, but it can still get facts wrong with complete confidence. That’s why we build in checks, keep assistants to your own information, and teach your team to review what it produces.
It depends on the size of the project and the business. Whatever the scale, we always advocate for a dedicated product owner when a new tool is brought in, someone who owns how it’s used and makes the calls. Enthusiastic champions within the team matter just as much. They’re often the difference between a tool your team actually takes up and one that gets quietly left behind. Every workflow is documented and handed over with training, and if you’d prefer us to keep looking after it, we can.
Yes, but it doesn’t need to be perfect. Start small, with a list of the repetitive tasks your team does every week. Any standard operating procedures (SOPs) you already have are a good starting point, along with access to the data behind the work, such as sales figures, marketing results and website traffic. The AI audit will show you what’s ready to use and what’s missing.
Usually, yes. It does not need a new site. We look at what the site runs on and what the assistant would need to draw from, and tell you if anything has to change first.
Before we build anything, we record a baseline: how often the task comes up, how long it takes and who does it. For example, 40 enquiry emails a week at six minutes each is four hours of someone’s time. Once the workflow is live, we measure the same task again after the first month and show you the difference in hours saved, response times and how often a person had to step in.

Not sure where AI fits yet?

Tell us what takes up your team’s week. We will tell you honestly whether AI would help, and where we would start.

Tell us about your project

What are you interested in?

Pick one and we'll ask the right questions.