Tag: Organizational Agility

As organizations deploy generative AI technologies, they face challenges including lack of expertise, fragmented governance, unclear accountability, and immature tooling—issues that can be addressed through an integrated framework of governance mechanisms, repeatable processes, and embedded safeguards.

Driving successful innovation quickly is a major challenge for many organizations, even in the generative AI era. Only 21% of organizations achieve their innovation goals.1 The typical concept-to-launch journey still takes about 22 months, and 82% of engineers say they’re “constantly looking” for ways to speed it up.2 Slow go-to-market timelines mean missed opportunities and […]

Organizations can bridge the widening gap between exponential technological advancement and slower organizational change by implementing three key practices: elevating operations through simplification and autonomy, energizing employees through curiosity and education, and envisioning clear business goals that connect technology initiatives to meaningful outcomes.

In response to CFOs demanding returns on technology investments, CTOs must measure software development productivity across four dimensions—business value, speed to market, delivery reliability, and team health—to effectively demonstrate how their teams create measurable impact and business growth.

Software development teams have always struggled to deliver features within the timeframe that businesses and customers expect. A recent BCG study found that over a third of respondents’ internal software development projects were delayed. Late delivery delays ROI and frustrates everyone involved. Organizations face numerous challenges when accelerating software delivery, but one stands out for its outsized […]

Dive deep into individual experiences beyond data metrics to uncover blindspots and build lasting trust by focusing on customer needs – a compelling case study on embracing change while preserving core values.

With AI’s rapid evolution, boards face multi-faceted risks requiring diverse oversight, technical expertise, agile risk-mitigation, clear values guiding deployment, and robust cybersecurity – proactively managing uncertainties while capturing AI’s transformative potential.

Unlocking innovation demands aligning talent strategy with organizational aspirations; an oil company’s overlooked compensation model discouraged risk-taking, undermining its transformation goals until leadership revised employee stock rewards.

In my conversations with hundreds of enterprise executives worldwide, I have found that they like the idea of moving fast and innovating but find it difficult to accomplish within their corporate legacy and constraints. Innovating quickly is especially urgent in light of generative AI’s potential. But to increase innovation, you need to build a culture […]

Communication is a sign of dysfunction. It means people aren’t working together in a close, organic way. We should be trying to figure out a way for teams to communicate less with each other, not more. —Jeff Bezos, Executive Chairman of Amazon Traditional organizations focus on optimizing efficiency, trying to specialize and maximize the use […]