HYPE WITHOUT DIRECTION
AI sounds great, but unclear how to use it
Lots of noise, no clear direction
Artificial Intelligence
Artificial intelligence that solves real product problems.
Find practical AI opportunities, improve workflows, and shape AI features that are useful, trustworthy, and grounded in real product needs.
Sound familiar?
WORKFLOW MISFIT
Tools don’t fit your workflow
They create more work, not less
INCONSISTENT OUTPUTS
Outputs are inconsistent
You can’t rely on what it gives you
FORCED USE CASES
No clear use case
Feels forced, not valuable
LOW TRUST
You don’t trust the results
Everything needs checking
SCALING ISSUES
It’s not scalable
Doesn’t integrate or hold up over time
DISCONNECTED DATA
Your data is all over the place
Nothing connects or gives a full picture
MANUAL WORKAROUNDS
Too much is still done manually
AI adds steps instead of removing them
Can this be fixed? Yes.
01/12
When to bring me in
Bring me in when AI needs to solve a real product problem.
This is usually the point where there is pressure to use AI, but the value, workflow fit, and product direction are still unclear enough that the team needs a more grounded approach.
Good reasons to start
- You’re exploring how AI could create valueIdentify practical opportunities rather than following trends.
- Teams are experimenting without a clear directionDevelop an approach that supports real business goals.
- You want to automate repetitive workFree people to focus on higher-value activities.
- You’re unsure where AI fitsUnderstand where it can genuinely improve products, services and workflows.
What you get
- Practical AI opportunitiesFocus on problems AI can realistically solve.
- A human-centred approachKeep people involved where judgement matters most.
- Clear prioritiesUnderstand where to start and what to avoid.
- A strategy built around outcomesUse AI to improve decisions, efficiency and customer experiences rather than simply introducing new technology.
Selected case studies
Experience built through delivery.
Case study
Large-scale services needed scalable solutions
Explored AI for content and systems Improved efficiency and direction
Read case studyFrequently 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.
Related thinking
Whether you’re exploring where AI can add value, reviewing how it fits into an existing workflow or assessing whether it’s the right solution at all, let’s discuss how artificial intelligence can help.