Turn scattered AI experiments into dependable business workflows.

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Aug 25 • 1 min read

This Friday: What it takes to move AI into real operations


Hi everyone,

Getting useful output from AI is becoming pretty easy.

Getting AI to reliably do useful work across your business is much harder.

Can it find the right customer information? Access the right system? Know what step comes next? Recognize when something looks wrong? Know when a person needs to make the decision?

That’s where an AI experiment starts becoming an operational workflow.

Our next session is this Friday:

Context & Access: How AI Connects Your Systems and Gets Work Done

Friday, August 28 from 12 to 1 pm PT / 3 ot 4 pm ET

👉 Save your spot: https://luma.com/vps3broy

In this session, Niels de Vries will walk through how to assess a business workflow before connecting AI to it.

We’ll explore:

  • ​Identify workflows where AI can produce a meaningful business outcome
  • ​Determine what information and context AI needs to perform reliably
  • ​Understand which systems, data, and people are involved in a workflow
  • ​Define access, permissions, approvals, and human oversight
  • ​Give internal teams, consultants, and technical builders clearer requirements
  • ​Decide which tasks should be automated and which should remain human-led

The goal is to help you make better decisions about where AI fits in your operations, what has to be in place for it to work reliably, and what you need to ask of the people implementing it.

If your team is already using AI but still depends on people to manually move information between conversations, spreadsheets, CRMs, email, and other systems, this session should give you a useful way to think about the next step.

👉 Register here: https://luma.com/vps3broy

Hope to see you there!


Sign up for practical frameworks, examples, and guidance from experienced operations and technology practitioners who help growing service businesses find a clear path from AI experimentation to dependable adoption in day to day operations.


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