
Some of the most useful material for business content arrives as a casual voice recording. A client shares their thoughts, perspective, and expertise—sometimes during their morning commute.
One client calls it a “brain dump on the go.” I call it a gold mine.
The recording captures how that person thinks through the details they emphasize, the examples they reach for, and the language they naturally use. It provides both subject matter and personality.
AI can help transcribe the recording, identify themes, and suggest memorable phrases worth exploring. However, deciding what matters to the audience, what needs clarification, and which ideas deserve a new content asset requires people to stay involved.
A common work scenario plays out like this, as an example:
A customer-facing colleague recognizes a recurring concern.
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A product marketer decides supporting materials are needed.
Before developing that content, the project lead needs to establish a few basics:
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A technical expert explains how the product works, including limitations the content needs to address.
This collaboration is what shapes effective content for the intended audience.
Pro tip: Make it easy for people to participate. Some will happily sit for an interview. Others will send notes, record their thoughts, or respond to a few focused questions.The format can be flexible. What matters is drawing out the experience and details that give the content substance.
Once those contributions are available, AI can help move the work forward. With a client recording, for example, a writer can ask AI to identify recurring ideas, highlight distinctive expressions, or flag points that need clarification. Those suggestions can help the writer prepare follow-up questions and organize the material.
Later, AI can review a draft against the source material. Ask the AI tool:
Providing that context gives the tool something specific to work with. It also gives human reviewers a foundation for deciding which suggestions to use.
Pro tip: Writing an initial draft is part of my own process. It helps me discover what I understand, where the argument needs work, and what I still need to ask. AI can then help question, organize, and refine the writing. The key is to stay engaged and fully understand the decisions throughout the co-creation process.
An efficient process gives people clear opportunities to contribute and review. Explain how their input will be used, where AI will assist, and what you need them to check.
For example:
Readability alone is an incomplete quality control (QC) check. Simplifying a technical explanation might accidentally remove a limitation. A confident sentence might overstate what the source supports.
Pro tip: You are not required to adopt AI’s suggestions. People need to be accountable for the content that gets published.
AI can reduce time spent transcribing, organizing, and refining. Use that outcome to make room for conversations and decisions that improve working relationships and final content. Those exchanges create value beyond the finished piece.
This process helps to build what Creatorbase® calls Durable Ownership™: Colleagues learn from one another, discover whose expertise they can draw on, and develop a shared understanding of what their audience needs. In other words, you grow intellectual capital, strengthen meaningful relationships, and develop a reputation for being invaluable and trusted. Together with AI enablement, we’re each essential to co-create value and mastery.
For your next content project:
Keep people involved to interpret, review, and be accountable for the outcome. This is how a casual recording or a recurring customer question can become something worth sharing by doing things in the right order.
How are you co-creating the future in your business domain? Choose at least one action below to engage: