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Performance Marketing50–100 employeesEmbedded AI Partner

How an Inc. 5000 marketing company 10x’d output without 10x’ing headcount

Landing page delivery

1 person, 3 days

10x faster

Campaign creative

1 person

Team redeployed to strategy

Revenue capacity

Absorbing 3x demand

Same headcount

Time to adopt

Self-sustaining by month 3

Permanent change

The Frustration

The Managing Director had a scaling problem. Client demand was growing faster than they could hire. Creative production was the bottleneck — landing pages that took one person a month, campaign assets that needed a full team, CRO work backed up for weeks. They were turning down revenue because they couldn’t deliver fast enough.

The Turning Point

They’d tried giving the team AI tools. Usage lasted about two weeks before everyone went back to their old workflows. The tools were there. The adoption wasn’t.

The Approach

We embedded for three months. Didn’t start with technology. Started with the creative and ops teams, mapping exactly where their time went. Found that 60% of the bottleneck was repetitive production work — not creative thinking. Taught each team member to use AI on their specific workflows. Built internal champions who trained the rest.

This engagement used our Embedded AI Partner tier.

The honest bit

The senior creative director was the biggest skeptic. She saw AI as a threat to quality. We didn’t try to convince her — we asked her to pick one project she hated doing and let us show her a better way. She became the team’s biggest AI advocate within a month.

The Results

Landing page delivery

1 person, 1 month1 person, 3 days

10x faster

Campaign creative

Full team required1 person

Team redeployed to strategy

Revenue capacity

Turning down workAbsorbing 3x demand

Same headcount

Time to adopt

Failed after 2 weeksSelf-sustaining by month 3

Permanent change

We stopped being the bottleneck. The same team that was drowning in production work is now spending their time on the thinking that actually moves the needle.

Managing Director

Inc. 5000 marketing company

Why it stuck

AI tools were already in the building. The problem was nobody knew how to use them on real work. We taught each person to solve their specific problems — not generic training, their actual daily workflows.

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