To You
-
FLASH INTERVIEW
Common Ground
Different perspectives driven by a common purpose
Call to Collaboration
—
Sep 2026
To You
-
FLASH INTERVIEW
Common Ground
Different perspectives driven by a common purpose
Call to Collaboration
—
Sep 2026
EDITION EDITORIAL & OVERVIEW
Common Ground
#
70
Call to Collaboration
-
Sep 2026

Meet Bruno Monteiro

What can strong partnerships make possible that organisations would struggle to achieve on their own?

I firmly believe that there is only so much you can achieve alone. And this is at the core of what a partnership is. Two parties working together toward a shared goal, even if their purposes differ.

What partnerships enable is closely tied to their purpose, with go-to-market and innovation among the most common. But above all, a partnership should complement or augment a company's strengths or, if you prefer, address its areas for improvement.

Partnerships rely on collaboration, but so do successful teams. What separates teams that truly collaborate from those that simply work alongside each other?

The main difference will probably show in the output produced by the team. This doesn’t mean that a team that is weaker in collaboration won’t achieve the expected result. The result might be there, but something was compromised along the way. It may have taken longer to get there, or the team may have spent more energy than necessary. Depending on the personalities of the team members, even their satisfaction could have been affected.

Looking back on my own experience, a team that truly collaborates resembles an orchestra: a group of people with different skills and personalities who know what to do and when to do it, each focused on their own part but committed to the result. This might be a romantic view of the world, but even the smallest contributors are key to the final performance.

With AI becoming increasingly present in our daily work, is it time to stop calling it a tool and start calling it a partner too?

In today’s world, it’s essential to see AI as a partner. AI should be incorporated into everything we do, not substitute for what we do.

Finding the right balance of where and how to use it is the tricky part. But there is one thing we cannot compromise on: as we navigate this daily turmoil of AI innovation, our creativity, individuality, and ability to judge and form opinions must be preserved, regardless of how we partner with AI.  

Whether we're collaborating with a partner, a colleague or even AI, what is the one thing that will always matter most in any partnership?

No items found.

For partners and colleagues, the backbone of collaboration is trust and consistency, while taking into account each other’s boundaries, motivations, and goals. A good partnership is one where both benefit from working together. It can’t just be about what you receive… it’s also about understanding and acting on what drives the other.

Although trust and consistency are also key when we use AI as a partner, they need to be seen from a different perspective. In this partnership, we are always on the receiving end of the equation. We need to be able to trust the results we get with the support from AI, knowing that this requires the right guidance and context from our side.

In a world that values speed and constant action, are we giving collaboration the time it deserves?

Collaboration shouldn’t be measured in time, but in outcomes. I can build a good collaboration with an individual, a team, or even an external organization without dedicating much time to it. Where we sometimes fall short is in taking the time to understand the other side of the equation. Simple, direct questions can help lay the foundations for good collaboration: “What’s in it for you?”,  “What does success look like for you?”, “Where can I support you?”. Equally, being clear about what we expect from others is a very good starting point. We can’t assume everyone knows what we expect from them… and the worst thing that can happen is discovering there is no common ground for collaboration.

‍

‍

Check out Bruno's cinema recommendations and get inspired here!

No items found.

Meet Bruno Monteiro

Whether we're collaborating with a partner, a colleague or even AI, what is the one thing that will always matter most in any partnership?

No items found.

For partners and colleagues, the backbone of collaboration is trust and consistency, while taking into account each other’s boundaries, motivations, and goals. A good partnership is one where both benefit from working together. It can’t just be about what you receive… it’s also about understanding and acting on what drives the other.

Although trust and consistency are also key when we use AI as a partner, they need to be seen from a different perspective. In this partnership, we are always on the receiving end of the equation. We need to be able to trust the results we get with the support from AI, knowing that this requires the right guidance and context from our side.

In a world that values speed and constant action, are we giving collaboration the time it deserves?

Collaboration shouldn’t be measured in time, but in outcomes. I can build a good collaboration with an individual, a team, or even an external organization without dedicating much time to it. Where we sometimes fall short is in taking the time to understand the other side of the equation. Simple, direct questions can help lay the foundations for good collaboration: “What’s in it for you?”,  “What does success look like for you?”, “Where can I support you?”. Equally, being clear about what we expect from others is a very good starting point. We can’t assume everyone knows what we expect from them… and the worst thing that can happen is discovering there is no common ground for collaboration.

‍

‍

Check out Bruno's cinema recommendations and get inspired here!

No items found.

Meet Bruno Monteiro

What can strong partnerships make possible that organisations would struggle to achieve on their own?

I firmly believe that there is only so much you can achieve alone. And this is at the core of what a partnership is. Two parties working together toward a shared goal, even if their purposes differ.

What partnerships enable is closely tied to their purpose, with go-to-market and innovation among the most common. But above all, a partnership should complement or augment a company's strengths or, if you prefer, address its areas for improvement.

Partnerships rely on collaboration, but so do successful teams. What separates teams that truly collaborate from those that simply work alongside each other?

The main difference will probably show in the output produced by the team. This doesn’t mean that a team that is weaker in collaboration won’t achieve the expected result. The result might be there, but something was compromised along the way. It may have taken longer to get there, or the team may have spent more energy than necessary. Depending on the personalities of the team members, even their satisfaction could have been affected.

Looking back on my own experience, a team that truly collaborates resembles an orchestra: a group of people with different skills and personalities who know what to do and when to do it, each focused on their own part but committed to the result. This might be a romantic view of the world, but even the smallest contributors are key to the final performance.

With AI becoming increasingly present in our daily work, is it time to stop calling it a tool and start calling it a partner too?

In today’s world, it’s essential to see AI as a partner. AI should be incorporated into everything we do, not substitute for what we do.

Finding the right balance of where and how to use it is the tricky part. But there is one thing we cannot compromise on: as we navigate this daily turmoil of AI innovation, our creativity, individuality, and ability to judge and form opinions must be preserved, regardless of how we partner with AI.  

Whether we're collaborating with a partner, a colleague or even AI, what is the one thing that will always matter most in any partnership?

No items found.

For partners and colleagues, the backbone of collaboration is trust and consistency, while taking into account each other’s boundaries, motivations, and goals. A good partnership is one where both benefit from working together. It can’t just be about what you receive… it’s also about understanding and acting on what drives the other.

Although trust and consistency are also key when we use AI as a partner, they need to be seen from a different perspective. In this partnership, we are always on the receiving end of the equation. We need to be able to trust the results we get with the support from AI, knowing that this requires the right guidance and context from our side.

In a world that values speed and constant action, are we giving collaboration the time it deserves?

Collaboration shouldn’t be measured in time, but in outcomes. I can build a good collaboration with an individual, a team, or even an external organization without dedicating much time to it. Where we sometimes fall short is in taking the time to understand the other side of the equation. Simple, direct questions can help lay the foundations for good collaboration: “What’s in it for you?”,  “What does success look like for you?”, “Where can I support you?”. Equally, being clear about what we expect from others is a very good starting point. We can’t assume everyone knows what we expect from them… and the worst thing that can happen is discovering there is no common ground for collaboration.

‍

‍

Check out Bruno's cinema recommendations and get inspired here!

No items found.
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