Five AI questions we get asked most often

AI is everywhere. But clarity isn’t. In workshops, client calls and leadership briefings, we hear a lot of the same concerns repeated in slightly different ways.

This article collects the five most common questions we hear from business leaders and teams, along with the answers that have helped them move from hesitation to action.

1. How do I persuade my team to use AI if they’re sceptical?

Scepticism is a good sign. It means people are thinking critically. But it can also slow progress.

The key is to focus on useful, practical demonstrations. Not abstract hype. Show how AI can help with things they already find tedious: turning meeting notes into actions, summarising reports, speeding up admin.

Avoid defending “AI” as a concept. It’s too broad. Anchor it in tasks.

And remember: hands-on experience shifts perspectives faster than any slide deck. That’s why we run Power Hours and live demos as a first step.

2. In what ways could AI replace traditional software?

AI doesn’t just enhance existing software – it often replaces it, especially for knowledge work.

Think:

• Automatic transcription and summarisation replacing manual note-taking

• Smart assistants surfacing key insights from CRM tools

• AI features embedded in email, project management and reporting systems

Instead of buying a new app, AI layers onto the systems you already use—automating the routine and making space for strategic work.

3. How can I use AI to tackle a big, messy task?

Start by breaking the task into parts.

We recommend a three-step method:

Problem statement: What are we trying to solve?
Task breakdown: What are the individual steps?
Execution plan: What resources do we need? Where can AI help?

Rather than using AI to “solve everything”, this approach helps you spot where it can help most – usually with analysis, formatting, summarising or reusing existing material.

4. Can AI help with information overload?

Absolutely. AI is brilliant at reducing cognitive load. It can:

• Summarise long docs or threads

• Extract action points

• Reorganise and tag content for future use

• Draft messages, responses or reports

It won’t replace judgment. But it does mean your brain isn’t doing all the sorting and scanning. That alone can relieve a lot of the anxiety that comes with information-heavy roles.

5. What does AI literacy really mean?

It’s not just about knowing how the tools work. It’s about thinking differently.

Unlike traditional software, AI gives different answers each time. It behaves more like a collaborator than a machine. So AI literacy isn’t procedural, it’s closer to learning a language.

We define it as: The ability to understand, evaluate and use AI tools in a responsible, effective way.

That includes:

• Knowing when not to use it

• Understanding limitations

• Exploring new applications over time

This skillset is becoming foundational – just like digital literacy was a decade ago.

Final thought

These aren’t just FAQs—they’re signals. The same five questions are being asked across sectors, seniority levels and team types. If you're wondering about them too, you're not alone.

At the moment, we’re in a period where the uses of AI are still being discovered. So focusing on fluency in applying AI across various contexts rather than mastery of specific features. And if you're ready to move from questions to clarity, our AI Power Hours or AI-B-C Sprint Programmes are often the best place to start.