AI Team Role Redesign Worksheet For Marketing

AI role redesign is often discussed too dramatically.

The question is not, "Which roles disappear?"

The better question is, "Which responsibilities change when AI enters a real workflow?"

That framing is less exciting. It is also more useful for a marketing team that still has campaigns to launch, clients to serve, reports to explain, and decisions to make.

The worksheet

Use this worksheet after you have audited at least one workflow. Redesigning roles before workflow clarity usually creates theatre.

1. Current role

Name the role as it works today.

For example:

• media manager
• strategist
• analytics lead
• account lead
• creative operations manager
• marketing VP

Then write the actual responsibility, not the job description.

Weak:

Owns campaign performance.

Better:

Reviews pacing, decides whether spend should shift, and explains the recommendation to the client every Thursday.

2. AI-assisted tasks

Which parts of the work can AI help with?

Be specific:

• summarize changes
• compare campaign variants
• draft first narrative
• identify missing brief context
• create competitor scan
• prepare first-pass QA checklist

Avoid saying "automate reporting" or "improve strategy." Those phrases hide the real work.

3. Human judgment that stays

What should remain clearly human?

In marketing work, this often includes:

• final client recommendation
• budget implications
• brand judgment
• sensitive stakeholder communication
• tradeoff decisions
• exception handling

Write this as a rule, not a value statement.

AI can draft the options, but the account lead chooses the recommendation and owns the client explanation.

4. New ownership

AI-assisted workflows often create new responsibilities.

Someone needs to own:

• prompt or workflow changes
• quality review
• source-data hygiene
• exception tracking
• stakeholder communication
• measurement of the new workflow

If nobody owns those, the workflow will depend on the most conscientious person in the room. That is not a system.

5. Skills to build

Do not list vague skills like "AI literacy."

Name the capability:

• define a good input
• check model output against source data
• write a review rule
• identify risk before launch
• explain where AI was used
• decide when not to use AI

This makes role redesign practical instead of aspirational.

What Prova reviews that generic AI often misses

Generic AI can produce a neat role matrix quickly.

The risk is that the matrix sounds plausible but does not change how work gets done.

Prova should review whether:

• the role change is tied to a real workflow
• the "human judgment" section is specific
• new ownership is assigned
• the team avoids dumping AI QA onto junior people
• the redesign creates a clearer Monday morning, not a nicer org chart

That last point matters. A role redesign is useful only if someone knows what to do differently next week.

A small example

Current role:

Analytics lead prepares weekly performance notes.

AI-assisted tasks:

AI drafts change summary, anomaly list, and first narrative.

Human judgment:

Analytics lead approves causal claims and decides whether a change requires action.

New ownership:

Analytics lead owns review rules. Marketing ops owns source-data checks. Director owns whether the rhythm continues after two weeks.

Skill to build:

Separating "what changed" from "what we should do."

That is not a grand redesign. It is a usable one.

That is it from me for now. If AI changed one role on your team next month, what responsibility would need to become clearer first?

Cheers, Chandler