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It could be because you have a specific goal in mind. Maybe you want to get focussed, or perhaps you simply prefer a more individual space to learn new skills and techniques?
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They say managing a team is one of the hardest jobs you can do.
Making it effective and harmonious as well?…now that’s a tough one!
We know that by either recruiting for, or developing teams with 12 distinct Brave Traits will 100% help you lead an high performing team.
Check out this free downloadable resource, the 12 Traits of BRAVE Team Members, it’s super useful.
In the age of algorithmic everything managers are increasingly turning to AI to support decision making in anything from forecasting sales to streamlining hiring.
With our focus on well-formed decision-making, we think there’s a watch-out; AI is only as good as the guardrails around it.
Without a clear framework it can amplify bias, obscure accountability or lead teams astray with overconfidence in machine-generated outputs.
It’s so easy to simply take what AI says as correct but you only need to play around with it and feed in different information to realise the danger of automatic trust. Our favourite suggestions so far are using glue to make your pizza stick together, using petrol in cooking, eating rocks and the benefits of chewing tobacco 😱
Let’s pause here before we blame AI for all our crazy decision-making. We know it’s generative and it’s continually learning, it’s not a consistent recall system and it’s not meant to be so let’s not make it all AI’s fault!
We’d rather take a look at how a manager can get started on this journey to speed up some inputs and where we’d recommend slowing down, on purpose. For example; you could use AI in lower-risk areas to speed up automating reports or pulling together data but slow down the conversation about what that data means for you or your team.
What we think is exciting is it will give us more time to ensure there is plenty of cross-functional chat between the various data teams and frontline leaders. Less time spent in the gathering of data means it would be common sense to spend the remaining time in better conversations.
The most important outcome of AI is managers need to treat it not as a shortcut or a quick fix but as an assistant for deeper thinking.
So, let’s focus on how to help managers harness AI for derision making, without outsourcing their judgment? It starts with those five failsafe parameters we mentioned. They are simple, sturdy, and most importantly, non-negotiable.
Managers Must Use The Five Failsafe Parameters
Decisions need to be well formed, and well informed.
Managers need to be skilled in making decisions. This needs a structure to move from discussion and debate, through to an outcome. Structure provides support for managers to make the right choice, not the easiest one.
Human Oversight Is Mandatory
AI can suggest but it must never decide alone. Managers should treat AI as a strategic advisor not a final authority. Every recommendation needs a human checkpoint especially when decisions affect people, ethics, or long-term strategy.
Transparency Over Black Boxes
If you can’t explain how the AI reached its conclusion don’t act on it. Managers should prioritise tools that offer clear logic, traceable data inputs, and understandable outputs. This builds trust and enables well informed scrutiny.
Bias Audits Are Routine Not Optional
AI systems inherit the biases of their training data. Managers must regularly audit for skewed outcomes especially in areas like hiring, performance reviews, or data gathering. If the system favours one group over another it’s not just a tech issue, it’s an input error and the biased decision becomes a leadership failure.
Context Is always King
AI thrives on patterns but it doesn’t understand nuance. Managers must layer in context, market shifts, team dynamics, cultural factors; in fact anything that AI can’t grasp. A good decision blends data with lived experience, intuition, and strategic foresight.
At We Are BRAVE we know that paying attention to your team’s critical decision-making and discussion skills, alongside proper insight and those sturdy parameters or guard rails means AI can assist you with better human decision making.
Our Decide BRAVE module works perfectly as that elusive piece of the puzzle to offer the human input to support an artificial process.
If you’d like to learn more, then reach out and start the conversation.
We’d love to help.
Rhi
If you strip away the constant ‘skills shortage’ noise, the tech hype, the AI takeover, the endless upskilling lists you’ll fine what remains are a handful of human capabilities that will quietly but powerfully shape the future of work over the next 12-18 months.
These aren’t just “nice to have” traits, they’re fast becoming the difference between being replaceable and irreplaceable.
Here’s what the team at We Are BRAVE are seeing emerge based on the conversations we’re having across industries, leadership circles and with our brilliant partners. These six skills aren’t just trending, they’re likely to be truly transformative.
Emotional Intelligence: The Quiet Power That Changes Everything
Forget the soft skill label. Emotional intelligence is widely and continually acknowledged as the backbone of effective leadership, especially in hybrid and high change environments. It’s not about being agreeable, it’s about being attuned. To us this looks like:
Give it a go.
Try this: For one week, practice listening with zero agenda. No fixing, no advising just full presence. You’ll be surprised how quickly trust deepens.
Creative Problem-Solving: What AI Still Can’t Touch
AI can optimise but humans are still the ones who can reimagine. The real edge lies in asking better questions and using creative, maybe even off the wall solutions; not just solving the ones handed to us.
We recently delivered a creative thinking session with a client and in the moment, we flipped how they usually approach the discussion. That small, unrehearsed shift unlocked a whole new experience for that team and as an outcome, some new ideas.
Give it a go.
Try this: When faced with a familiar problem write down 10 wild, impractical ideas. Then ask: what’s the thread that connects them? What have we not tried yet? That’s where innovation lives.
Systems Thinking: Seeing the Whole Picture
In a world of silos and dashboards the ability to zoom out and see the patterns, dangers and interdependencies is a golden nugget. It’s not just about knowing your function, it’s wider than that. This is about understanding the ripple effects.
We are already observing that those with hybrid skill sets that blend technical fluency with strategic insight are already commanding higher salaries and showing more resilience in downturns. Coincidence? We don’t think so.
Give it a go.
Try this: Pick an industry you know little about. Study how one change (say, a supply chain hiccup) affects everything from marketing to morale. What does that tell you and how might you look at your own industry with that perspective? Look up, look out, look forward. The dots are often there you just have to look for them and connect them.
Human-Centric Communication: The Skill People Forget We Need.
We’ve all mastered the art of sending messages but have we lost the art of communicating to be understood?
We have already spotted that leaders who stand out often aren’t the ones with the slickest slide decks or the best presentation patter; no, the people you really need to watch are the leaders who can:
Give it a go.
Try this: Explain your work to a 15 year-old, then try your grandmother or an older friend. If both understand it and actually care about what you said you’ve likely nailed both clarity and relevance.
Ethical Decision-Making: The Skill that will Shape AI’s Future
Here’s a curveball. It’s predicted that by the end of 2026 most large organisations will have AI governance teams. That means someone, likely you or someone like you, will need to decide how AI gets used and where the line gets drawn. This isn’t just a tech issue. It’s a human one. Every sector will need people who can ask:
Give it a go.
Try this: Build your Decision-Making Skills. Learn how to create a true commitment versus just simple consensus and take the considered route instead of the easiest and fastest. This helps your decision-making to be more ethical and therefore creates more conviction in any next steps. Upgrading your skills will drive better ethics and brave decision making.
Building and sustaining workplace boundaries.
The blurring of work and life already dances a very fine line. As technology advances the obvious impact on humans is the ever pressing need to play catch up. One way to ensure your balance doesn’t tip the wrong way as you do this is to focus on workplace boundaries, creating them and importantly keeping them strong.
Give it a go.
Try this. Get a sense of your boundaries by answering these questions. No need to further action yet simply start by spotting them.
As we wrap up our views on what will be needed in 2026 it’s important to note that these 6 skills aren’t abstract ideals. We believe that they’re lived skills, slightly messy. often nuanced but deeply human and the great news is, these are skills that can be learned. They’re already shaping the kind of leadership that doesn’t just survive change but bravely steers through it.
If you need help getting started with any of our 6 recommendations for 2026 then start the conversation today.
You can even download our beautiful guide to help you as you plan for 2026.
We’d love to hear from you.
Sara
