• Internal AI champions play a vital role in helping teams explore and adopt new ways of working.
• But being a champion can be isolating, especially when everyone assumes you have the answers.
• Coaching provides a safe space for champions to reflect, navigate ambiguity, and build influence without needing to be “the expert.”
• Support isn’t just about skills — it’s about confidence, connection, and clarity.
• If you want adoption to spread, invest in the people carrying the message.

Who Are Your Internal AI Champions?

They’re usually the ones who lean in during early workshops. The ones who say:

“I gave it a go over the weekend and it worked!”
“Could we try this in our team?”
“I showed it to a colleague and they loved it.”

We’ve written before about what makes a great AI champion. They’re not always the most senior. They’re not always in tech.

But they’re often the spark that moves an organisation from talk to action.

Why Champions Need Coaching, Not Just Tools

Once a champion is identified, the temptation is to give them some training, access to AI tools and maybe a toolkit — and ask them to go forth and share what they know.

But here’s the thing:

They’re still figuring it out, too.

They often feel:

• Uncertain — “Am I doing this right?”
• Exposed — “Will people think I’m the expert now?”
• Stuck — “This would work, but we’d need buy-in from above.”
• Frustrated — “There’s interest, but no one is making space for it.”

Coaching gives them a space to say these things out loud — and work through them.

What Does Coaching Actually Offer?

It’s not about training. It’s about thinking.

A well-timed coaching conversation can help a champion:

• Reflect on what’s working (and what isn’t)
• Reframe challenges in a more constructive way
• Make sense of internal dynamics or politics
• Prepare for conversations with leaders or sceptics
• Stay connected to their own curiosity and motivation

And sometimes, it’s just a space to say:

“This is harder than I thought — and I’m not sure what to do next.”

That’s where confidence grows.

When Everyone’s Figuring It Out, Champions Feel the Pressure

One of the most common patterns we see?

Champions are excited at first — but after a while, they start to doubt themselves.

Why? Because as interest in AI grows, so do the questions… and expectations.

People start turning to the champion for answers. For reassurance. For direction.

And the champion’s internal voice often says:

“I was just experimenting. I don’t really know.”

Without support, that doubt can quietly shut things down.

Champions Don’t Need More Content — They Need Coaching

Of course they’ll benefit from shared resources, toolkits, or prompt guides.

But if you want them to grow as confident, influential enablers of change?

What they really need is:

• Space to reflect
• Somewhere to bring questions
• Encouragement to be curious, not certain
• A place to test ideas without the pressure to perform

That’s what coaching offers.

Why This Matters for the Whole Organisation

Supporting your champions isn’t just about them. It’s about momentum.

Because champions who feel:

• Heard → are more resilient
• Equipped → are more influential
• Supported → are more consistent
• Connected → are more likely to stay engaged

And champions who keep going help others keep going, too.

Let’s Explore AI Together

In our Explore AI Together programme, we coach internal champions through the messy middle — not just with tools, but with time to think.

We create space for reflection, support decision-making, and help build confidence in the face of uncertainty.

If you’re developing champions inside your organisation, let’s talk about how to support them in a way that lasts.

• AI can support more than quick ideas — it can help test, challenge, and develop your thinking.
• By asking the right kinds of follow-up prompts, you can use AI as a strategic thinking partner.
• Techniques like SWOTs, oppositional thinking, mapping impacts, and stakeholder analysis help structure reflection.
• Treat AI like a sounding board, not a solution — its real value comes from dialogue, not direction.
• Deeper prompts = deeper insight.

AI Isn’t Just for Idea Dumps

The first time most people use AI for creativity, it’s often to brainstorm:

“Give me 10 ideas for a campaign…”
“What are some ways to solve this problem?”
“List possible business names…”

And yes, it’s great for that. But that’s just the starting point.

If all you’re getting is a list, you’re leaving value on the table.

What happens next — the exploration, reframing, and questioning — is where the real thinking happens.

Here Are 4 Ways to Use AI to Go Deeper

These techniques can be used for strategy, planning, facilitation, or creative work. The key is to slow down and ask AI to think with you.

1. Ask for the Opposing Viewpoint

“What would someone who disagrees with this idea say?”
“What are the risks or weaknesses in this approach?”

Why it helps:

• Challenges your assumptions
• Encourages more robust planning
• Useful in team discussions or pitch prep

2. Use a Familiar Framework (like SWOT)

“Here’s our new idea. Can you help me run a quick SWOT analysis?”
“Summarise the strengths, weaknesses, opportunities, and threats of this plan.”

Why it helps:

• Adds structure to fuzzy thinking
• Gives you something concrete to reflect on
• Makes it easier to bring others into the conversation

3. Map Out Stakeholders or Impact

“Who would be affected by this idea?”
“How might different teams or roles respond?”
“What questions might this raise for our customers?”

Why it helps:

• Helps you anticipate reactions and build buy-in
• Reinforces empathy and user-centred thinking
• Perfect for internal change work

4. Turn the Idea Into Steps or Milestones

“Break this down into 5 practical steps.”
“What would be the first 3 things to try if we wanted to test this idea?”
“Draft a simple action plan for this concept.”

Why it helps:

• Moves thinking from concept to action
• Reduces overwhelm by chunking tasks
• Supports early experimentation and prototyping

The Shift: From Output to Interaction

When you treat AI like a tool, you expect a final answer.

But when you treat it like a thinking partner, you open up a conversation.

The goal isn’t to get a perfect solution. It’s to think more deeply — with help.

Let’s Explore AI Together

At Maine Associates, we help leaders and teams get more from AI — not by rushing to answers, but by making space for better questions.

Want to explore how AI can support your team’s thinking, not just their tasks? Let’s start with a conversation.

• AI tools don’t “know” your situation — they only respond to what you give them.
• Many weak outputs are the result of unclear or missing context, not poor technology.
• You can dramatically improve results by giving your AI tool a simple background brief.
• Framing matters: tell the tool what role it’s playing, who it’s helping, and what you’re trying to do.
• Good prompts are generous with information — not just clever with words.

Why Does AI Sometimes Miss the Mark?

Ever had an AI response that felt:

Too generic?
Off-target?
Like it didn’t “get” what you were trying to do?

Chances are, it wasn’t the tool — it was the lack of context.

AI doesn’t come with a memory of your business, your team, or your preferences. It works with what you give it — and if you don’t give it enough, it fills in the blanks with something average.

What Do We Mean by Context?

In a conversation with a colleague, you don’t have to re-explain:

• What your business does
• Who your customers are
• What tone you like
• Why you’re working on this task in the first place

But with an AI tool, you do.

Think of it like working with a smart intern on day one.
If you don’t brief them, they’ll guess — and get it wrong.

Examples: How Context Changes Output

❌ Basic Prompt:

“Write a welcome email for our new subscribers.”

✅ With Context:

“You’re writing a welcome email for a new subscriber to our monthly business strategy newsletter. They’re mostly time-pressed SME owners who want practical advice in a warm, informal tone.”

Result:
The second version isn’t just better written — it feels closer to your voice and intent.

❌ Basic Prompt:

“Summarise this meeting.”

✅ With Context:

“You’re a team assistant creating a summary of a cross-functional product meeting. Focus on decisions made, questions raised, and next steps. Keep it to three bullet points per topic.”

Result:
Less ramble, more relevance.

What Kind of Context Should You Include?

Here’s a quick framework you can drop into almost any prompt:

1. Who’s the audience?
   • “This is for my client / board / junior team / newsletter subscribers…”
2. What’s the purpose?
   • “I’m trying to clarify, simplify, persuade, or explore…”
3. What role should AI play?
   • “Act like a strategist / editor / facilitator / analyst…”
4. What output do you want?
   • “Summarise in bullet points / give step-by-step actions / suggest three options…”

Try This Prompt Template

“You are [role]. You are helping me [goal]. The audience is [description]. Please format the output as [structure or style].”

Example:

“You are a strategist helping me plan a team workshop. The audience is senior leaders who are curious but sceptical about AI. Please format the output as 3 high-level talking points followed by 2 actionable suggestions under each.”

Why This Matters

When people say “AI isn’t very good,” what they often mean is:

“AI didn’t read my mind.”

But it’s not supposed to.

AI is at its best when it’s treated as a smart assistant with zero context — and given what it needs to succeed.

Better inputs = better outcomes.

Let’s Explore AI Together

At Maine Associates, we help teams build real-world confidence with AI — not through theory, but through hands-on learning.

If your team’s been disappointed by AI results, it might be a context problem — not a capability one. Let’s explore how smarter prompts can unlock better thinking.

• Confidence with AI grows from small wins using approachable tools
• Early experiences with AI should feel useful, relevant, and rewarding
• Simple tools are powerful gateways to curiosity and deeper capability
• Introducing AI as a thinking partner reduces fear and builds trust

In our last post, we explored why successful AI adoption starts with mindset—curiosity, experimentation, and a willingness to think differently.

But once that mindset is sparked, the next step is key:

Give people a simple tool, a small win—and watch their confidence grow.

We’ve seen it time and again: the right tool, introduced at the right moment, flips the switch.

Suddenly, AI isn’t abstract or intimidating. It’s useful. Approachable. Even empowering.

What Does That Confidence Moment Look Like?

It usually starts with a raised eyebrow. Then a smile.

Someone sees an AI tool complete a task in seconds—something they usually dread—and says:

“I didn’t know I could do that.”

That moment signals more than just convenience. It’s a shift in belief. A rethinking of what’s possible.

We’ve seen it happen with tools like:

• Otter or Fathom for meeting summaries
• ChatGPT for transforming rough ideas into polished writing
• Canva’s AI tools for simplifying creative work

They may seem basic. But that’s the point. These tools lower the barrier and invite people in.

How Does Confidence Change Behaviour?

After that first positive experience, we often see:

• People try the tool again—this time for a more ambitious task
• They share it with a colleague
• They begin asking more strategic questions, like:
  

  “Could this help with that client report?”
  “What else can I automate?”

This is how confidence grows—from relevance, not theory.

It starts with a tool that works in a way they understand, on a task that matters to them.

Why Introduce AI as a Thinking Partner, Not a Threat?

One of the biggest barriers to AI adoption is fear—fear of doing it wrong, being judged, or being replaced.

That’s why we frame AI tools as thinking partners.
Not as decision-makers, but as:

• Problem-solvers
• Idea-expanders
• Creative collaborators

It’s not about replacing human thinking. It’s about extending it—with control and clarity.

Are Simple Tools Really Enough to Build Capability?

Yes—but not because they’re simple. Because they’re relevant.

We don’t teach tools as an endpoint. We teach them as gateways to:

• A stronger sense of agency
• A willingness to experiment
• Deeper curiosity about what’s possible next

Real capability grows from small, supported steps—especially when those steps feel meaningful.

Want to Help Your Team Build Confidence with AI?

If you’re looking to introduce AI in a way that builds confidence—not confusion—we can help.

Our AI Training & Skills Development programmes meet people where they are, using practical tools to:

• Spark new thinking
• Build trust
• Encourage experimentation

Let’s start with what your team is already curious about.

• Great AI prompts start with clarity, not cleverness.
• Before asking ChatGPT anything, ask yourself: What’s the job to be done?
• Prompts work best when they reflect your actual goal — not just what you want written.
• Whether you’re exploring, deciding, or creating, the key is to think before you prompt.
• Clarity in = clarity out.

Why Do Some Prompts Work Better Than Others?

If you’ve ever thought:

“This AI output isn’t what I wanted…”
“That’s not how I would’ve said it…”
“It feels generic or off…”

You’re not alone.

But it’s usually not the model — it’s the framing.

Before diving into prompt hacks or fancy structures, start with this question:

What’s the job I want AI to help with?

That simple shift unlocks better results — and better thinking.

Think Like a Designer, Not Just a User

When you approach AI with vague instructions like:

• “Write me a plan”
• “Give me some ideas”
• “Summarise this”

…it’s a bit like asking a colleague to “just do something with it.”

But when you clarify what you’re trying to achieve, the prompt becomes much more useful.

What Does “Job to Be Done” Mean in Prompting?

It’s about the real outcome you want.

For example:

• Do you want ideas you can act on today — or just a list of possibilities?
• Are you trying to structure your thinking — or get an actual draft?
• Do you need help seeing blind spots — or confirming what you already know?

Let’s Look at an Example

❌ Vague Prompt:

“Write a social media strategy for my business.”

✅ Purposeful Prompt:

“Help me outline three different social media strategies based on my goals: brand awareness, lead generation, and community engagement. I’ll choose one and ask you to expand it.”

Why it works:

• It frames the job — to compare strategic approaches.
• It gives context — the desired outcomes.
• It sets up a two-part conversation — instead of a one-shot reply.

Common AI Prompt Jobs We See

Here are a few jobs your next prompt might be doing — whether you realise it or not:

• Clarify my thoughts
• Help me explain this
• Surface blind spots
• Offer structure
• Generate examples
• Reframe a challenge
• Help me compare options
• Find gaps or risks
• Create a first draft

The more intentional you are about the job, the better the outcome.

Try Starting with These Questions

Before prompting ChatGPT or any other AI, pause and ask:

• “What am I really trying to do here?”
• “What would success look like from this prompt?”
• “Is this about speed, support, insight, or structure?”

Then write the prompt as if you’re asking a thinking partner — not a magic machine.

Let’s Explore AI Together

At Maine Associates, we help teams move beyond templates and tools to build confidence, capability, and curiosity with AI.

Our AI workshops and coaching sessions focus on thinking with AI — not just using it.

Ready to write better prompts by getting clearer on what matters? Let’s start with a conversation.

• True AI capability starts with mindset, not mechanics
• Curiosity, confidence, and exploration fuel deeper learning
• Treating AI as a thinking partner encourages meaningful engagement
• Mindset-first training leads to longer-lasting adoption and greater relevance

When organisations begin exploring AI, the instinct is often to start with tools — which platforms to use, what features to try, and how to get the most from the latest tech.

But real capability doesn’t begin with mechanics. It begins with mindset.

At Maine Associates, we’ve found that the most effective AI training starts by building curiosity, confidence, and a willingness to think differently.

Before diving into prompt writing or tool demos, it’s worth asking:

“How are we helping our team think differently about AI?”

Why Do We Focus So Much on Tools Instead of Thinking?

There’s no denying that tools like ChatGPT bring a powerful “wow” factor. Starting with a demo often grabs attention—and that can be a great hook.

But tools alone don’t unlock capability.

That moment of surprise needs to be followed by a moment of reflection—and that’s where mindset comes in. It’s not just about what the tool can do; it’s about what people could do differently with it.

What If You Introduced AI as a Thinking Partner?

The real opportunity with AI isn’t just speed or automation (though those are nice bonuses). It’s about using AI to think better, explore more, and unlock fresh perspectives.

This shift happens when we stop treating AI as a task-doer and start engaging with it as a thinking partner.

Instead of a manual, people need a spark of curiosity. Start by asking:

• “What do you wish you had help thinking through?”
• “Where do you get stuck when writing or planning?”
• “What would you ask if you had a super-smart, judgment-free assistant?”

These kinds of questions open up new, creative ways to engage—not just with the tool, but with the thinking it supports.

How Can Training Invite Exploration Instead of Instruction?

In our foundational AI training, we lead with real-world frustrations and curiosities that people can relate to.

We create space for:

• Exploration
• Trial and error
• Even a little laughter when things go off-script

When people feel safe to explore, they’re more likely to take risks, play, and ultimately learn.

What Does Mindset-First Learning Look Like in Practice?

A small shift in how we frame an exercise can make a big difference.

❌ Instead of:

“Here’s how to prompt ChatGPT to write a job description.”

✅ Try:

“What questions would you ask if you wanted help thinking through a new role in your team?”

The second approach starts with the person’s thinking. The tool simply follows.

Why Is Mindset the First Foundational Skill?

Before prompt design, tool selection, or governance frameworks, the real foundation is mindset.

A mindset of:

• Curiosity over control
• Play over perfection
• Reflection over rush

When that mindset is in place, the rest follows naturally.

Ready to Build Real Capability?

If you’re looking to equip your team with the skills and mindset to use AI meaningfully—not just mechanically—we’d love to help.

Our AI Training & Skills Development programmes build confidence, unlock new thinking, and make foundational tools feel relevant, practical and even a little fun.

Let’s start with a conversation.