In the early 2000s, the software industry underwent a seismic shift with the advent of web applications and the Software as a Service (SaaS) model. This revolution necessitated a move away from traditional, linear development approaches to more iterative and flexible methodologies, giving birth to Agile. Agile was not just a change in project management; it was a comprehensive transformation that encompassed business models, delivery methods, and product features. Agile methodologies enabled teams to deliver continuous value, adapt to changing requirements, and maintain a competitive edge in an increasingly fast-paced market.

Today, we stand on the precipice of another monumental shift: the integration of Artificial Intelligence (AI) into product development and delivery. AI is redefining what users expect from software, emphasizing intelligent features and conversational interfaces over traditional graphical user interfaces. Just as the web and SaaS models demanded Agile, the pervasive influence of AI calls for a new development paradigm. This paradigm will have far-reaching implications for organizational design, staffing levels, project management, and more. It is imperative that we adapt our methods to incorporate AI, not only as a feature but as a fundamental component of the development process.

This emerging landscape presents a tremendous opportunity for consulting services focused on AI Transformation, Product Development, and Product Management. Much like the early days of Agile, there is currently no definitive playbook for integrating AI into existing workflows. This uncertainty opens the door for research and the development of new methodologies. We need to explore critical questions such as which AI tools to use, how to phase them into development cycles, and how to balance proprietary and non-proprietary use cases. Understanding these factors will be crucial for organizations looking to stay ahead in a rapidly evolving market.

To capitalize on this wave, we must not only conduct thorough research but also actively pursue engagements that allow us to build practical expertise. Leveraging our existing knowledge and client relationships can help us secure projects that focus on AI integration. These projects are likely to be more complex and larger in scope than what we've tackled before, but they offer the potential for significant growth and innovation. By positioning ourselves as leaders in AI-driven product development, we can attract clients willing to invest in our expertise, even funding some of the necessary research.

Just as Agile was the right response to the challenges and opportunities presented by web applications and SaaS, a new approach centered around AI is essential for today's market. By embracing this change and positioning ourselves at the forefront of AI integration, we can drive the next wave of innovation in product development and delivery.