Many executives tasked with AI initiatives receive an unspoken expectation when they take on their role. Within the first ninety days, they are expected to demonstrate progress. Boards want to see momentum, executives want evidence of value, and teams want clarity about direction.
These early months often determine how the rest of the AI strategy unfolds. If leaders can show measurable progress quickly, they build confidence and support for future initiatives. If progress stalls, skepticism can grow.
Donna Medeiros understands the significance of this window.
“Organizations expect a lot to be accomplished in three months. Many leaders are given ninety days to show results.”
This timeline may seem ambitious, but it reflects the urgency many organizations feel around AI adoption.
Why Early Wins Matter
Early quick wins serve an important purpose in AI transformation. They demonstrate that AI initiatives can produce tangible results in practice rather than theoretical potential. These wins build credibility and momentum for the leaders responsible for AI strategy.
Early wins create a launching pad for other use cases. Perhaps even more important, the early use cases present learning opportunities for the organization. Teams gain experience working with AI tools, build capabilities and understanding how they affect workflows not to mention informing AI and data governance aspects, such as AI usage policies. These lessons help shape future initiatives.
When organizations identify the ‘right’ opportunities (e.g use cases) early, they can demonstrate value without taking unnecessary risks. This balance is essential for building momentum.
What Leaders Should Focus On First
Leaders responsible for AI strategy should begin by understanding the specific challenges their organization faces and particular use cases that can be prioritized to gain value from using AI. This includes identifying pain points, operational inefficiencies, reduction of time and manual processes and areas where data insights could improve decision making.
Donna emphasizes the importance of honest conversations during advisory engagements.
“We want leaders to come to us and talk about their goals, challenges, where they see their organization having both short and longer term success. What’s keeping them up at night often leads to identifying key opportunities.”
These conversations help advisors and leadership teams prioritize initiatives that will produce meaningful outcomes.
Quick wins often come from targeted projects that are often termed proof of value rather than large transformations. Leaders identify opportunities where AI can improve existing processes and demonstrate measurable improvements, especially when workforce are upskilled as part of the process.
Connecting Early Success to Long-Term Strategy
While quick wins are important, they should always support and evolve a broader strategy. Organizations that pursue isolated projects that do not involve a methodology that can be repeatable often struggle to scale their success. Leaders must connect early initiatives to long-term goals and establish a use case based framework that connects the overarching governance of their strategy.
This connection often involves developing a roadmap that outlines how AI capabilities will expand over time. Early projects help validate assumptions and build confidence in the roadmap.
Advisory engagements help organizations align quick wins with long-term objectives. Advisors bring experience from other organizations and help leaders identify initiatives with the highest potential impact.
Where Leaders Often Get Stuck
Many organizations struggle during the early stages of AI strategy because they attempt to do too much at once. They can fail to pick use cases/projects with impact and high probability of success. Leaders may feel pressures from numerous angles – top down and business line – to launch multiple initiatives simultaneously. This approach can stretch resources and make it difficult to achieve meaningful results.
Another challenge is unclear ownership. When responsibility for AI initiatives is distributed across multiple teams with no clear business line owner then progress can become slow and inconsistent.
Finally, leaders sometimes underestimate the importance of communication. Employees need to understand how AI initiatives will affect their work and why these initiatives matter.
Building Momentum Beyond Ninety Days
When organizations successfully navigate the first ninety days, they create momentum for long-term transformation. Early successes demonstrate that AI initiatives can deliver measurable value and inform repeatable processes.
Leaders can then expand initiatives with greater confidence. Teams begin to understand how AI supports their work, and leadership gains support for broader investments.
The first ninety days do not determine everything, but they often set the tone for what comes next.
Final Thoughts
AI transformation requires both strategic planning and early momentum. Leaders who focus on targeted initiatives during the first ninety days create the foundation for longer-term success.
Quick wins build credibility, provide learning opportunities, and demonstrate the value of AI initiatives. When these wins connect to a broader strategy, organizations can move confidently toward scalable AI adoption.
Every organization is in a different place with AI. If it would be helpful to talk through where you are and what the next step could look like, Donna is always happy to connect. You can schedule time with her here: https://meetings.hubspot.com/donna-medeiros/meet-with-data-societys-ai-and-data-advisor
AI Strategy FAQ
AI quick wins are targeted use cases/projects that produce measurable business outcomes/ results in a short period of time.
