Back to Blogs
AI transformation rarely begins with the promising tool or a list of isolated use cases. Brian Evergreen argues that leaders gain more value by defining a vivid future, making the strategy visible, aligning functions around what would need to become true, and measuring value creation rather than activity, adoption, output volume, or short-term efficiency alone.
AI programs often begin with a tool demonstration or a list of possible use cases.
The resulting pilots may improve efficiency. They may also remain disconnected from a larger business direction.
In Autonomous Transformation: The Strategy Shift for AI, Brian Evergreen, author of Autonomous Transformation, argues that transformation begins with a picture of the future the organization wants to create.
Tools and use cases can then support that vision instead of defining it.
A use case answers what a technology can do in a particular situation. That makes it useful for product development and experimentation.
It may be less useful as the starting point for strategy.
Brian stated the distinction directly:
“A use case is the friend of engineering, but the enemy of strategy.”
Starting with a use case can narrow the organization’s attention before it has defined the larger outcome.
The team may automate an existing task, reduce production time, or generate more content without determining whether those improvements move the business toward a meaningful future.
A vision becomes useful when people can picture what would be different.
“Use more AI” is not a vision. “Increase productivity” may be measurable, but it still leaves the organization without a clear picture of the value it wants to create.
Brian’s approach, which he calls future-solving, begins with a more vivid destination.
For a marketing organization, that future might involve a buying experience so useful that inbound demand changes the role of outbound sales. Another company might envision every customer receiving immediate, accurate guidance throughout the product lifecycle.
The exact vision varies. Its purpose is to give the organization somewhere specific to go.
Once the future is visible, the team can ask:
What would need to be true for that future to exist?
The answers become strategic conditions or hypotheses.
If a company wants a continuous AI-assisted buying journey, those conditions might include:
The team can continue breaking each condition into smaller requirements until it reaches work that can be tested or implemented.
This creates a visible bridge between the present and the intended future.
Strategy is often distributed across presentations, planning documents, scorecards, and executive conversations.
That can make it difficult for teams to see how individual projects connect.
Brian defines strategy as the documented means of moving from where the organization is now to where it wants to be.
A visible strategy allows teams to examine assumptions, dependencies, and missing conditions together. It also creates a shared reference point when new tools or project ideas emerge.
The question becomes less about whether a tool is impressive and more about whether it helps make one of the required conditions true.
Marketing may have the budget and authority to test a tool. A larger transformation usually crosses departmental boundaries.
AI can affect product design, sales roles, customer service, finance, operations, data access, risk, and workforce planning.
A marketing-led experiment may begin within one function. Broader changes benefit from alignment with the CRO, CFO, CIO, product leadership, and other affected teams.
Brian identified insufficient trust and alignment as one of the most common transformation gaps.
The objective is not universal agreement on every detail. It is shared understanding of the future being pursued, the value at stake, and who owns the relevant decisions.
AI scorecards often emphasize adoption, number of tools, prompts submitted, content produced, or hours saved.
Those measures can help describe activity. They do not necessarily show transformation.
Brian encourages a broader view of value:
“The majority of the actual value to be found there is in creating new value.”
Efficiency can remain part of the business case. The larger opportunity may involve services, experiences, business models, or customer outcomes that were not previously possible.
Relevant measures may include:
The measures depend on the vision rather than preceding it.
Organizations are practiced at removing problems. They identify a gap, assign a project, and measure whether the undesirable condition declined.
Brian pointed out the limitation:
“The problem with solving problems is yes, it’s the craft of getting rid of what you don’t want, but it doesn’t have anything to do with getting what you do want.”
Transformation requires both. Existing friction may need to be removed, but the organization also needs a compelling destination.
Without that destination, teams can become increasingly efficient at maintaining a model that AI has already made outdated.
Brian’s argument is not against experimentation.
Tool exploration and contained pilots can reveal what is possible. Their value increases when they connect to a defined future and test an important strategic condition.
Vision provides the direction. Visible strategy identifies what needs to become true. Cross-functional alignment connects the organization. Experiments provide evidence.
That sequence turns AI from a collection of activities into a potential path toward transformation.
It can narrow attention to isolated tasks before the organization defines the larger future or value it wants to create.
It is a process that defines a vivid future and works backward through the conditions required to reach it.
AI can affect data, products, revenue, operations, customer experience, risk, and workforce design across several functions.
Measures can include customer value, revenue, retention, quality, new capability, trust, and progress toward the intended future.
Want to hear more? Listen to the full conversation with Brian Evergreen.
CMO Huddles helps B2B marketing leaders win by bringing together peers, fresh perspectives, and opportunities to build stronger personal brands. Want to join the huddle? Learn more about CMO Huddles and apply to join the community.