Insights into Generative AI
The ARC Framework for AI Adoption
AI doesn’t fix organizational bottlenecks; it amplifies them. The ARC Framework moves beyond 'AI Theater' and vanity metrics to address the structural reality of transformation.
High adoption, low transformation.
Most AI pilots fail to return value. The top 20% measure something different: organizational readiness, not tool adoption. Here's how.
Finding the balance of Generative AI adoption
Adopting generative AI varies across organizations, with some adopting a conservative approach to prioritize stability and compliance, while others embrace a more risk-tolerant mindset to drive innovation. Success can be found in the balance between caution and innovation.
How AI Changes Business Creativity
Artificial intelligence isn't replacing human creativity—it's amplifying it. A new creative ecosystem is building where human intuition and computational power are creating what neither could achieve alone.
Goal-Setting for AI Transformation and Innovation
AI transformation is filled with challenges and opportunities. By setting a clear purpose, crafting well-defined implementation plans, providing leadership, continual learning and effectively communicating our goals, we can navigate this transformative landscape with confidence.
Preparing for the Age of AI
Employee training, effective leadership and meaningful engagement, unlocks the full potential of AI. It enhances job satisfaction, drives creativity, and propels innovation.
Embracing Gen AI Adoption
We aren't introducing new approaches - we’re leveraging the things we’ve learned from agile, from design thinking; it's all human-centered approaches that are proven and have delivered value. We are now applying it to gen AI Transformation.
Building Generative AI Guardrails
Many executives are optimistic but concerned about generative AI. But these publicly available AI tools are already being used at their companies, often without oversight or guidance. Having guardrails in place ensures that generative AI is operating safely and responsibly.
Getting Started with AI Transformation
One of the biggest obstacles to any transformation is the lack of organizational readiness. Specifically to AI adoption, companies often struggle with insufficient AI talent, data quality issues, difficulties in identifying applicable business use cases, and a corporate culture that doesn't recognize the value of AI.
Leadership’s role in GenAI Adoption
Many organizations approach AI as a technology problem rather than a business problem. This limits the strategic goals of the transformation. "AI is not a goal in itself. It is a means to achieve business objectives."
