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Drew Neisser is the founder of CMO Huddles and a globally recognized authority on B2B marketing. He’s an AdAge columnist, LinkedIn TopVoice, leading CMO coach, podcast host & friend of penguins everywhere.
For many B2B marketing teams, AI adoption started with experimentation: Trying prompts, testing tools, generating drafts, and seeing what felt useful. That was a reasonable first step. But experimentation alone will not create lasting capability.
The real payoff starts when CMOs help their teams turn one-off AI usage into repeatable workflows: Processes that can be reused, improved, shared, and governed. That is the shift from AI curiosity to AI capability.
Experimentation is useful when a team is learning what AI can do. But it becomes a trap when every task starts from scratch.
If marketers are constantly opening a chatbot, typing a new prompt, refining through back-and-forth messages, and manually copying outputs into their work, they may be using AI without building any institutional capability. The work may feel faster in the moment, but the process is not scalable.
A stronger approach is to identify repeatable marketing tasks and turn them into documented workflows. For example:
The goal is not to remove human judgment. The goal is to stop reinventing the process every time.
Back-and-forth prompting can help someone learn how an AI tool responds, but it is not a durable workflow. It is hard to repeat, hard to teach, hard to automate, and hard to improve across a team.
A better habit is to treat the conversation as a learning loop. When the AI output is not right, do not only correct it in chat. Look at what was missing from the original instruction. Then improve the initial prompt or workflow so the next attempt starts closer to the desired result.
That improved prompt can become a reusable template. Over time, the team builds a library of workflows instead of a pile of disconnected chats.
Many marketing teams chase new AI tools before they understand what their existing platform can already do. That creates tool sprawl: More logins, more learning curves, more cost, and more confusion.
For most teams, the better first move is to deeply understand one core AI tool. The major platforms can already support a wide range of marketing tasks, including research, drafting, analysis, summarization, content repurposing, data interpretation, and workflow design.
AI tools are changing quickly, and every week brings a new wave of recommendations. But constantly switching platforms can slow teams down more than it helps.
Every switch has a cost: The team must learn a new interface, rebuild workflows, move files or prompts, understand new pricing, and reset habits. In many cases, the feature that caused the switch will soon appear in another platform anyway.
CMOs do not need to ignore new tools. But they do need a filter. The question should not be “What is everyone excited about this week?” The better question is: “Does this help our team build a more repeatable, secure, and valuable workflow?”
A useful AI workflow is specific enough to repeat and flexible enough to improve. It should have:
For example, a content workflow might define how to turn a transcript into a recap article. A campaign workflow might define how to turn a positioning brief into channel-specific messaging. A research workflow might define how to summarize buyer signals before a planning session.
The common thread: The team is not just using AI. The team is learning how to work with AI consistently.
One AI power user can create early momentum, but it can also create dependency. If only one person knows how to get useful outputs, the organization has not truly adopted AI.
CMOs should aim for shared baseline capability across the team. That does not mean every marketer needs to become an AI expert. It means everyone should understand:
The real advantage comes when AI capability becomes part of the team’s operating rhythm.
Security risks are not solved by telling people to “be careful.” They need to be built into the workflow.
Marketing teams should know what kinds of information can be entered into AI tools, which tools are approved, where human review is required, and how outputs should be checked before publication or use with customers.
The best AI workflows are not only efficient. They are responsible, repeatable, and reviewable.
If your team is still in AI experimentation mode, start small. Pick one recurring marketing task that already consumes time and attention. Document the current process. Identify where AI can help. Build a reusable workflow. Test it with a few team members. Improve it. Then decide whether it should become a standard process.
The point is not to become the flashiest AI team. The point is to build capability that compounds.
AI workflows are repeatable processes that use AI to support specific marketing tasks, such as research, content repurposing, campaign planning, transcript summaries, or performance analysis. A good workflow includes clear inputs, expected outputs, human review, and documentation.
AI initiatives often stall because teams stay in experimentation mode. They test tools and prompts but do not turn successful use cases into repeatable workflows. Tool sprawl, weak training, unclear ownership, and security concerns can also slow adoption.
In many cases, better training should come first. Marketing teams often underuse the AI tools they already have. Before adding another platform, CMOs should make sure the team understands the core tool, its capabilities, its limits, and the workflows it can support.
CMOs can make AI adoption more scalable by choosing specific use cases, documenting workflows, training the full team, creating reusable templates, setting security guardrails, and measuring whether the workflows improve speed, quality, or consistency.
One of the biggest mistakes is treating AI as a collection of one-off chats instead of building reusable workflows. Back-and-forth prompting can be useful for learning, but it does not scale unless the lessons become repeatable processes.
Listen to the conversation with Nicole Leffer on Renegade Marketers Unite. And if you’re a B2B marketing executive who wants to join conversations like this live, sign up for CMO Huddles’ free Starter tier.