culture
culture at Beyond Market Intelligence is a file of 8 stories. The newest of them: “Empowering Collaboration: How Shared Standards Transform Engineering at [Bank Name]”, “Shape Your Engineering Teams: Systems Thinking for Sustainable Growth”, and “How human-led teams can thrive with AI agents as collaborators”. Platform teams often get treated like infrastructure, but they're really the cultural backbone of engineering. Systems thinking isn't a buzzword; it's a practical lens for shaping how engineering teams actually work. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every culture story on Beyond Market Intelligence, newest first.
![Empowering Collaboration: How Shared Standards Transform Engineering at [Bank Name]](https://res.infoq.com/news/2026/09/collaborative-platform-culture/en/headerimage/generatedHeaderImage-1790072552423.jpg)
Empowering Collaboration: How Shared Standards Transform Engineering at [Bank Name]
Platform teams often get treated like infrastructure, but they're really the cultural backbone of engineering. At [Bank Name], shared standards aren't just process; they're the structure that lets open support sessions and super user awards take root. Developers depend on the platform, and the platform depends on them. That's a mutual loop, and it only moves forward when everyone commits to common ground. It's a practical, human way to build an engineering mindset.
Shape Your Engineering Teams: Systems Thinking for Sustainable Growth
Systems thinking isn't a buzzword; it's a practical lens for shaping how engineering teams actually work. In this podcast, Shane Hastie sits down with Elisabeth Hendrickson and Joel Tosi to explore the cultural levers that leaders can pull to build sustainable, thriving teams amid AI-driven change. It's a grounded conversation about moving beyond quick fixes. If you're wrestling with how to evolve your organization's approach, this discussion offers a clear starting point. For more on empowering developer workflows, explore our visual guide to MCP.
How human-led teams can thrive with AI agents as collaborators
The next teammate on your startup's roster might not be human. At TechCrunch Disrupt 2026, Gusto, Insight Partners, and Leland will break down how early-stage companies are building teams where humans and AI agents work side by side. The focus is practical: how do you do it without losing speed, accountability, or culture? That's the right question to ask. For more context on who else is shaping the conversation, check out our piece on Mark Wahlberg joining Disrupt to talk investing.
Why More Incidents Can Mean Stronger System Reliability
A rising incident count is easy to read as a red flag, but Great Circle's recent analysis suggests otherwise. More reports often mean your team is actually getting better at surfacing problems, a compelling case in itself. That is a sign of health, not decline. It reframes how we should interpret operational noise. For engineering leaders wrestling with this tension, it is worth exploring how a mature incident culture changes the metrics you trust.
Explore the 2026 culture and methods trends shaping collaborative work
The InfoQ Culture and Methods editorial team has mapped where software delivery is heading in 2026, and the picture is less about tools and more about trust. The report digs into how teams are reshaping workflows around human outcomes, not just throughput. It's a grounded read, especially when so much tech commentary leans on hype. For practical context on how these cultural shifts play out in daily work, the related guide on unlocking ChatGPT for work offers a useful, hands-on starting point.
Unlock AI's true ROI by empowering teams, not just individuals
Atlassian's research points to a truth most organizations haven't caught yet: AI delivers value at the team level, not just for individuals. Dr. Molly Sands and her team found that while 89% of executives see individual speed improving, only 6% can name clear ROI. That gap is telling. The teams that succeed share context, redesign workflows, and build a learning culture. It's a practical, human-centered approach. For more on questioning AI's limits, see "Talking to My AI Clone Taught Me to Question the Tech."
Stop optimizing individuals and start designing AI for teams
Most companies treat AI as a personal productivity hack. Atlassian's Dr. Molly Sands argues that's the wrong lens. Her team's research found 89% of executives see individual speed improving, yet only 6% can point to clear ROI. That gap isn't a technology problem. It's a collaboration problem. The winning 14% of teams shared context, redesigned workflows, and built cultures that encouraged experimentation. AI doesn't create new management issues; it exposes old ones. That's a bracing, useful insight for any leader.
Explore how Current AI builds an accessible future for every culture
Current AI is racing to build the World Wide Web of AI, free for all, and its progress across devices and chat is genuinely encouraging. We like that this nonprofit is pushing to ensure no culture gets left behind in the AI wave. It is a bold, human-centered goal. For a deeper look at how we interact with these tools, check out "Talking to My AI Clone Taught Me to Question the Tech." That piece pairs well with the big-picture mission here.