Menu

Artificial Intelligence

AI applied where it actually earns its keep.

AI is genuinely useful and relentlessly oversold, usually at the same time. I help organisations find where it solves a real problem, and say no to the rest.

Where does AI actually help a digital organisation?

AI is at its best on work that is high-volume, repetitive and pattern-shaped: producing and maintaining content at scale, structuring messy data, surfacing relevant results, answering routine questions. That's less glamorous than the hype, and more valuable.

The distinction worth understanding is between traditional AI, which classifies and predicts from patterns in data, and generative AI, which produces new content. They suit different problems, and most organisations quietly need the first more often than the second.

What AI doesn't replace is judgement. It can't tell you what users need, whether a product idea is sound, or which output is safe to publish. The organisations getting real value keep a human in the loop wherever the decision matters.

Sound familiar?

Signs your AI effort needs grounding

The pattern behind most stalled AI initiatives is the same.

01

The use case starts with the technology

It begins with 'we should use AI' rather than with a problem anyone can name.

02

Every output needs checking

The tool produces work nobody trusts, so it adds a review step instead of removing one.

03

Pilots never leave the lab

Experiments impress in demos and never touch the real workflow.

04

The manual work is still there

AI was added; nothing was actually taken off anyone's plate.

How I work with AI

Start from the problem, keep humans where judgement matters, scale only what proves out.

01

Identify

Start from cost and friction in the real workflow, and find where AI genuinely fits.

02

Design

Shape the use case around users and failure modes, with people in the loop where judgement matters.

03

Prove

Test on real work at small scale, and judge outputs against what production actually requires.

04

Scale

Grow what demonstrably works into the workflow, and drop what doesn't.

Case studies

AI work in practice

Ready to act on it?

AI work runs through the digital transformation engagements: scoped reviews that establish where AI fits before anyone commits to building.

Go deeper

Frequently asked questions

What is artificial intelligence?

Artificial intelligence (AI) is the ability of computer systems to perform tasks that would normally require human intelligence, such as understanding language, recognising patterns, generating content or making predictions. For most organisations, AI isn’t about replacing people. It’s about helping people work more efficiently, make better decisions and automate repetitive tasks while keeping appropriate human oversight.

How can AI help my organisation?

AI can support many different areas of a business, from analysing large amounts of information and improving customer support to accelerating content creation and automating repetitive processes. The biggest opportunities usually come from improving existing workflows rather than introducing entirely new ones. Successful AI projects begin with a clear business problem rather than a desire to use AI for its own sake.

Should every organisation be using AI?

Not necessarily. AI is a tool, not a strategy. Some organisations can achieve significant improvements through AI, while others will see greater value from improving existing processes before introducing new technology. The most important question isn’t “How can we use AI?” but “What problem are we trying to solve?”

What’s the difference between generative AI and traditional AI?

Traditional AI is often designed to analyse data, recognise patterns or make predictions based on predefined objectives. Generative AI creates new content, such as text, images, code or audio, in response to prompts. Tools like large language models can accelerate many types of knowledge work, but they still require human judgement, review and oversight to ensure the output is accurate and appropriate.

Can AI replace user research, UX or product strategy?

No. AI can help analyse information, generate ideas and accelerate parts of the design process, but it doesn’t understand organisational context, stakeholder priorities or the lived experiences of your users. The strongest outcomes come from combining AI with human expertise rather than treating AI as a replacement for strategic thinking or user-centred design.

What’s a Human-in-the-Loop approach?

Human-in-the-Loop (HITL) means AI supports decision making rather than making important decisions on its own. People remain responsible for reviewing outputs, applying judgement and deciding how AI-generated recommendations should be used. This approach improves reliability, reduces risk and helps ensure AI is used responsibly, particularly where business-critical decisions are involved.

How do I know if AI is the right solution?

The best place to start is by understanding the problem. If AI can genuinely improve efficiency, reduce repetitive work or help people make better decisions, it may be the right choice. If the underlying process is already unclear or ineffective, introducing AI often makes the problem more complicated rather than solving it.

How should organisations get started with AI?

Start small. Focus on a specific problem where success can be measured, involve the people who will use the solution and build in appropriate human oversight from the beginning. Organisations that treat AI as part of a wider product and service strategy are far more likely to achieve meaningful, sustainable results than those adopting it simply because it’s new.

Why choose an independent consultant instead of an agency?

There are times when an agency is the right choice, particularly if you need a large multidisciplinary team working across multiple workstreams. If you’re looking for senior expertise, an independent consultant offers a different way of working. You’ll work directly with the person delivering the engagement from start to finish, without account managers, handovers or layers of communication. Decisions are made faster, the work stays consistent and you benefit from experienced advice that’s focused on solving your problem rather than managing a project. For many organisations, it’s a simpler, more flexible and more cost-effective way to access senior product, UX and user research expertise.

Where are you based?

I’m based in Manchester, UK and work with organisations across the UK, Europe and internationally. Most engagements are delivered remotely, although I’m always happy to travel when a project benefits from working together in person.

Do you work remotely?

Yes. Most engagements are delivered remotely using Microsoft Teams, Google Meet or Zoom. Working this way keeps projects flexible, efficient and cost-effective while making it easy to support organisations wherever they’re based.

Can you travel to our office?

Yes. While most projects are delivered remotely, I’m happy to travel throughout the UK and internationally for workshops, stakeholder sessions, discovery activities and key project milestones where needed.

Can you work alongside our existing team?

Absolutely. Most organisations I work with already have product managers, designers, researchers, developers or delivery teams in place. My role is to strengthen your existing capability by providing additional expertise, independent thinking or senior support where it’s needed most.

Do you work with startups as well as larger organisations?

Yes. I’ve worked with startups, scale-ups, SMEs, agencies, charities, public sector organisations and global enterprises. Every engagement is tailored to your goals, regardless of the size of your organisation.

Do you sign NDAs and work with confidential information?

Yes. Much of my work involves commercially sensitive products, confidential research and government services. I’m happy to sign NDAs and regularly work with organisations where confidentiality is essential.

What if my project doesn’t fit one of your fixed-price services?

The fixed-price services are designed around the most common types of engagement, but every organisation is different. If you need something broader or a combination of services, I’ll put together a bespoke proposal based on your goals and the support you need.

How quickly can you start?

Availability changes throughout the year, but many engagements can begin within one to two weeks. If you have a specific deadline or urgent requirement, let me know and I’ll always do my best to accommodate it.

How much involvement will you need from our team?

That depends on the engagement, but I always aim to make the best use of your team’s time. Most projects start with a short kick-off session, followed by regular check-ins as findings and recommendations are shared. Before any work begins, you’ll know exactly what’s expected and when.

How do we get started?

It starts with a conversation. We’ll discuss what you’re trying to achieve, where you’re experiencing challenges and whether one of the fixed-price services is the right fit. If not, I’ll recommend a more suitable approach based on your goals.

LET'S WORK TOGETHER

Ready to improve your product?

UX, research and product leadership for teams tackling complex digital services.

Previous feedback

I had a fantastic experience working with Andy. One of his most impressive achievements during our time at NHS HEE was masterminding a deeply complex information architecture for a new platform that brought together a large number of legacy websites.

Will Parkhouse

Senior Content Designer