Ensuring AI Readiness in Your Next Transformation: Insights from Chazey Workshop at SSOW

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By: Sally Fletcher, Lee Coulter 03/25/2025

Chazey Partners

This week, in honor of our largest shared services week, we’ve been covering one session every day that really stood out to us! Today it was Chazey Partner’s workshop on Ensuring AI Readiness, hosted by Lee Coulter, Chief Transformation Officer, Chazey Partners. Here, Lee shared his key success factors for integrating AI into business transformation strategies and staying ahead of the game. 

What Does AI Ready or AI Capable Mean?

AI is already disrupting industries, and a competitor analysis will likely reveal that the top challengers to your organization have adopted AI-driven solutions. Companies that fail to prepare for AI integration, risk being left behind. But what does it mean to be AI-ready or AI-capable? It entails having the leadership, culture, governance, and technological infrastructure necessary to support and leverage AI effectively.

The Role of Leadership in AI Success

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One of the key takeaways from the workshop was the pivotal role of leadership in AI adoption. Strategic alignment and leadership commitment are essential to successfully integrating AI into business processes. Key leadership actions include:

  • Demonstrating commitment with transparency to foster trust and engagement.
  • Positioning AI as a core strategic driver to ensure it is integrated into the overall business strategy.
  • Fostering a culture of innovation, where employees are encouraged to collaborate with AI systems and adapt to AI-enhanced workflows.

Overcoming AI Implementation Challenges

Businesses often face hurdles when adopting AI. Some practical solutions discussed in the workshop include:

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  • Conducting a leadership AI assessment and development program.
  • Hiring AI specialists to bridge the skills gap.
  • Establishing career paths for high performers to foster internal AI expertise.
  • Engaging the CEO and board through education sessions and AI immersion programs.

Building a Culture of Innovation: The 5,5,5 Concept

A significant barrier to AI adoption is a lack of innovation culture. Coulter introduced the 5,5,5 concept, an effective method to encourage employees to think innovatively:

  • Allocate $5000.
  • Assemble a team of five people.
  • Give them five weeks to develop and test an AI-driven idea.

This exercise can be an incredible and achievable way of encouraging innovation in a low-risk way.

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Practical Solutions for AI Adoption

As mentioned above, key challenges to AI adoption can include cost, lack of skilled talent, and IT infrastructure.

Lee recommended that, to address these challenges, organizations should:

  • Partner with AI-savvy companies or acquire expertise externally.
  • Leverage cloud-based AI infrastructure, such as Microsoft Azure.
  • Hire AI specialists, including chief data officers to validate and cleanse data.
  • Quantify data value to make informed investment decisions.
  • Encourage a fail-fast, learn-fast approach to AI experimentation.

Talent and culture play a significant role in AI adoption. However, if companies struggle to attract in-house talent, they can leverage the gig economy to hire AI professionals. You can make a start on this by identifying the top three AI gig platforms and understanding how to utilize them. You can also look to work with specialized AI recruitment firms that can craft effective job descriptions and interview questions.

The Future: Agentic AI

Agentic AI, which enables autonomous decision-making, is set to revolutionize businesses. Coulter challenged attendees to imagine an organization where AI agents independently manage operations, paving the way for an AI-driven future.

As organizations prepare for AI integration, strategic leadership, robust governance, and an innovation-driven culture will be the key drivers of success. Those who embrace AI readiness today will lead the industries of tomorrow. To hear more from Chazey, you can access their previous webinars and reports, on-demand here.

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