LLMs and Generative AI in the enterprise.
Inspire, develop, and guide a winning organization.
Understand the unique values and behaviors of a successful organization.
Create visible workflows to achieve well-architected software.
Understand and use meaningful data to measure success.
Integrate and automate quality, security, and compliance into daily work.
An on-demand learning experience from the people who brought you The Phoenix Project, Team Topologies, Accelerate, and more.
Learn how to enhance collaboration and performance in large-scale organizations through Flow Engineering
Learn how making work visible, value stream management, and flow metrics can affect change in your organization.
Clarify team interactions for fast flow using simple sense-making approaches and tools.
Multiple award-winning CTO, researcher, and bestselling author Gene Kim hosts enterprise technology and business leaders.
In the first part of this two-part episode of The Idealcast, Gene Kim speaks with Dr. Ron Westrum, Emeritus Professor of Sociology at Eastern Michigan University.
In the first episode of Season 2 of The Idealcast, Gene Kim speaks with Admiral John Richardson, who served as Chief of Naval Operations for four years.
Exploring the impact of GenAI in our organizations & creating business impact through technology leadership.
DevOps best practices, case studies, organizational change, ways of working, and the latest thinking affecting business and technology leadership.
The debate over in-office versus remote work misses a fundamental truth: high-performing teams succeed based on how they’re organized, not where they sit.
Leaders can help their organizations move from the danger zone to the winning zone by changing how they wire their organization’s social circuitry.
The values and philosophies that frame the processes, procedures, and practices of DevOps.
This post presents the four key metrics to measure software delivery performance.
May 12, 2025
The foundation of any effective business-IT partnership is shared understanding and mutual trust. Without these elements, attempts at collaboration will falter regardless of processes or structures. In the second part of our series on bridging the business-IT gap, we provide concrete approaches to create this foundation based on proven practices from high-performing organizations.
According to “Winning Together,” technology leaders must go beyond surface-level business knowledge and develop true fluency in the business context. This means conducting structured deep dives into:
Market Analysis: Flow Engineering suggests creating visual maps of your competitive landscape, identifying not just direct competitors but also adjacent players and potential disruptors. Map their strengths, weaknesses, and trajectories.
Customer Journey Mapping: Work with business colleagues to document the end-to-end customer experience. Be sure to identify pain points, moments of delight, and opportunities for improvement that technology could address.
Financial Model Understanding: Technology leaders should understand revenue streams, cost structures, and profitability drivers. As “Winning Together” notes, “If you cannot explain how technology investments connect to financial outcomes, business leaders will see technology as a cost center rather than a value driver.”
Practical Action: Schedule monthly sessions where business leaders teach technology leaders about specific aspects of the business model, competitive landscape, or customer needs. Reciprocate with sessions where technology leaders explain technical concepts relevant to business strategy.
Research from Dr. Nicole Forsgren and colleagues cited in Accelerate shows that high-performing organizations deliberately build shared mental models between business and technology teams.
Joint Value Stream Mapping Sessions: Bring cross-functional teams together to visually map how work flows from idea to customer value. Flow Engineering provides a structured approach:
Visualization of Dependencies: Create visual representations of technical and business dependencies. These visualizations expose hidden constraints and help both business and technology leaders make better decisions about prioritization and sequencing.
Shared Language Development: Intentionally create a common vocabulary. “Winning Together” suggests creating a shared glossary of terms where business and technology concepts are explicitly connected.
Practical Action: Conduct a half-day value stream mapping workshop with equal representation from business and technology. Ensure the workshop produces a large visual that can be displayed in common areas to reinforce the shared understanding.
Dr. Ron Westrum’s research, cited in “How to Thrive in Building a Learning Culture,” demonstrates that high-performing organizations cultivate psychological safety. Leaders must actively create environments where both business and technology professionals feel safe to:
Express Concerns Early: “Measuring Leadership” shows that organizations where people can raise concerns without fear of blame detect and solve problems much earlier.
Admit Knowledge Gaps: When business leaders can admit they don’t understand technical concepts, and technology leaders can admit they don’t understand business implications, it creates space for genuine learning.
Challenge Assumptions: Both groups need to feel empowered to question long-held assumptions without it being seen as resistance or lack of team spirit.
Practical actions from “How to Thrive in Building a Learning Culture” include:
Flow Engineering emphasizes that visibility creates trust. When work, progress, and impediments are visible to everyone, suspicion is eliminated and opportunities for collaboration are created.
Visible Work Boards: Create physical or digital boards that show the flow of work from concept to customer, making status, blockers, and dependencies visible to all.
Information Radiators: Display key metrics in common areas where both business and technology teams can see them. “Winning Together” suggests including both technical metrics (like deployment frequency) and business metrics (like customer adoption) side by side.
Decision Records: Document key decisions, including the context, options considered, and rationale. This creates transparency about why certain paths were chosen and builds trust in the decision-making process.
Practical Action: Create dashboards that display both technical and business metrics side by side, updated in real-time. Position these in areas where both business and technology teams will see them regularly.
“Measuring Leadership” highlights how formal and informal interactions between business and technology teams build the relationships necessary for trust.
Regular Gemba Walks: Business leaders physically visiting technology teams (and vice versa) to observe work in progress, ask questions, and offer help.
Cross-Functional Communities of Practice: Creating forums where business and technology professionals can share knowledge and solve problems together.
Job Shadowing and Rotations: Temporary assignments where business people work within technology teams and technology people work within business units.
Joint Problem-Solving Sessions: Bringing mixed teams together to tackle specific challenges, leveraging diverse perspectives.
Practical Action: Implement a monthly “Day in the Life” program where business and technology staff shadow each other for a full day, followed by a debrief session to share insights and identify collaboration opportunities.
“Winning Together” shares how American Airlines transformed the relationship between business and technology teams:
Within a year, this approach not only improved the technical metrics (deployment frequency increased by 70%) but also dramatically improved business outcomes (customer satisfaction increased by 20%) and team morale.
The true foundation of business-IT partnership isn’t found in processes or tools, but in the shared understanding and trust between people. By deliberately building this foundation through the practices outlined above, you create the conditions for deeper collaboration and joint ownership of outcomes, which we’ll explore in Part 3 of this series.
Managing Editor at IT Revolution working on publishing books and guidance papers for the modern business leader. I also oversee the production of the IT Revolution blog, combining the best of responsible, human-centered content with the assistance of AI tools.
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