How a 250-Client AI Marketing Agency Is Rebuilding Itself as a Growth Engineering Org

How a 250-Client AI Marketing Agency Is Rebuilding Itself as a Growth Engineering Org

AI & Agents
TripleDart
Internal case study
An internal account of turning an agency into a growth engineering org: what got built, what broke in week one, and what the four-week deadline killed.
Organisation
TripleDart
Written By
Shriman Visahan
PUBLISHED
August 5, 2026
Read
3
min

What it is.

More than 50 people came off client work for two days to build agents against 14 problem areas across paid media, SEO, creative and RevOps.

The trigger was time. Analysts were spending 6 to 10 hours a week on reporting, and four years of playbooks were sitting in documents nobody re-read.

One build reached a live client account inside 48 hours, and refreshed pages moved SEO and AI-search scores by 20% to 50%.

Read it at the source.

Opens on TripleDart. Free, and the figures on this page all come from it.
Read the guide

Frequently Asked Questions

What made the case for doing this?
What happened to the builds that didn't work?
How long does an agent take to reach a live account?
What does a build sprint like this cost?
What did the refreshed pages return?
Strengths
  • It's an operator account with the failures left in, including the subscription limits and access delays that hit in week one.
  • The four-week survival deadline is a governance idea worth stealing for any internal AI push.
  • The problem list came from the people doing the work, which is why 14 of them were worth building against.
Limitations
  • This is us writing about us, and TripleDart sells the services it describes.
  • The score lift covers refreshed pages, and no control group sits behind it.
  • An agency has more repeatable work than most in-house teams, so the payback profile won't transfer cleanly.
Skip this if
  • Skip it if you already run internal build sprints with a kill deadline and an owner on every agent.
Ideal for
  • Agency and marketing operations leads
  • Anyone standing up an internal AI program

The plays behind the reading.

We build inbound GTM engines for B2B software teams, and these are the frameworks we build from. Bring us a pipeline target and we'll map the route.