Chapter 03 / The unfinished task
Approved AI still stops before the job is done.
Having a chatbot seat tells a CMO nothing about whether an account brief can land in the CRM, whether a campaign can be set up where it will run, or whether the result will pass review.
A text answer leaves the sales development rep to paste it into the CRM, add the missing account facts and chase the approval. The team saves the drafting time and keeps every other step.
Marketing needs a say in what the company’s AI must deliver.
Being asked for input is different from agreeing which marketing jobs the company’s AI program has to deliver, and by when.
Read the finding and CMO decision ↗Sign in for the full findingTest what your approved AI can actually finish.
An AI model can write an excellent brief and still leave the person to do every step that follows.
Read the finding and CMO decision ↗Sign in for the full findingAn internal brief should not wait in the same queue as a public claim.
Approval rules work better when they match the action being taken and what it costs to get it wrong.
Read the finding and CMO decision ↗Sign in for the full findingA corrected draft should make the next draft better.
Write down why a correction was needed so the next request starts from it.
Read the finding and CMO decision ↗Sign in for the full findingThe numbers behind this chapter
First, how leaders rate this area overall. Then four specific ways of working, each asked separately.
How leaders rate this area overall · Q1
The one-line self-assessment, asked before the detailed questions.
What is actually in place · Q11
Four things your approved AI can do today, each rated on its own.
Marketing teams can use AI models that have passed tests on their actual tasks.
AI can draw on current account, product and market facts it is allowed to see.
AI can act inside the work systems, with permissions set for each task.
Quality checks, a record of what the AI did, and a named person for exceptions are built into the workflow.
Put the findings to work