Most marketing teams lose an enormous amount of time to work that is necessary but not creative: pulling the same reports, formatting decks, checking that a testimonial is approved, drafting the tenth variation of an ad. I became convinced that AI agents could absorb that layer of work — not to replace the team, but to give the team back its best hours. The result: a set of agents that save us 50+ hours a week. Here's how I think about building them.
Start with the work nobody wants to do
The highest-ROI agents don't do the glamorous work — they do the repetitive, rules-based work that drains a team. I started by listing the tasks my team complained about most and scored them on two axes: how often they happen, and how clearly the rules can be written down. The winners were obvious.
- Reporting: an agent that pulls performance data and assembles the recurring views, so analysts start from insight instead of from a blank spreadsheet.
- Creative production: agents that draft on-brand creative and ad copy from a brief, giving designers and writers a fast first draft to react to.
- Testimonial validation: an agent that checks whether a quote is approved and correctly attributed before it ships — compliance that used to be a manual bottleneck.
- Recommendations: an agent that surfaces performance recommendations so optimizations don't wait for the weekly review.
Encode the brand, not just the task
An agent that produces off-brand work creates more cleanup than it saves. The unlock was treating brand voice, claims rules, and creative guardrails as explicit inputs the agent always references — so output is usable, not just fast. The more of your team's judgment you can write down, the more leverage the agent has.
The goal isn't to automate creativity. It's to automate everything around creativity so people can spend their time there.
Keep a human in the loop where it counts
Agents draft; people decide. Anything that ships externally — creative, copy, a claim, a spend change — still passes a human check. That single rule is what makes the speed safe. It also builds trust: the team adopts agents faster when they know nothing goes out the door unreviewed.
Measure the time you get back
It's easy to be impressed by a flashy demo and never check whether it actually saved anyone time. I tracked hours reclaimed per workflow, which is how I can say with confidence the program returns 50+ hours a week. That number is also how you make the case to leadership to keep investing.
What I'd do differently
Start smaller and ship sooner. My best agents began as narrow, single-task helpers and earned their scope over time. The ambitious "do everything" version is always slower to trust and harder to debug. Pick one painful, repetitive workflow, nail it, and let the wins compound.