Hi Dora,
This is an interesting and challenging scenario. Based on what other companies are doing, these could be some tentative steps:
Governance Model: As you mentioned, implementing a governance model is a crucial first step. It encourages the organization to think strategically about issues that were previously overlooked. You could start with an initial assessment to determine if your organization is ready to shift towards data-informed practices.
Focus on People: It's important to help your team understand how generative AI can benefit the company, rather than just individual needs. Together, you can prioritize tools and projects based on their potential positive impact on the business. Additionally, the business should be informed about how these projects align with their strategic goals.
Assess Impact: Consider whether a shift towards data will improve or fix current projects or the company as a whole. Any existing issues will likely become apparent in the early stages, allowing you to address them before fully implementing data-informed decisions.
IT Team and Tech Environment: Having a strong IT team is essential. Since you're in an IT company, this might not be the most challenging aspect. However, deciding on the right environment, tech platform, and approach can significantly impact the business.
I found these two resources very inspirational and useful, and they might be of help to you:
“Leading Projects with Data: Overcome Behavioral and Cultural Barriers to Unlock the Hidden Value of Data in Projects” by Marcus Glowasz
“A New Future of Work: The Race to Deploy AI and Raise Skills in Europe and Beyond” by McKinsey Global Institute, just launched
PMI Team Member
