Illustrative AI-generated scene for the Single Grain case study
AI illustration*

Company Brain case studies

An agency that taught its AI where to look

How a marketing agency rebuilt its company brain around retrieval, trust and corrections

  • CompanySingle Grain
  • SectorMarketing agency
  • SourceArticle by the CEO, X article by Eric Siu, May 2026

Agencies sell expertise, and much of it is spoken: on sales calls, in client meetings, in quick answers between colleagues. Most of it is gone by the end of the day.

Eric Siu, CEO of the marketing agency Single Grain, wrote publicly about how the agency set out to keep it.

What Single Grain did

In his article, Siu describes source material that included 2,862 Gong call transcripts turned into operational playbooks. In one daily example, 15 calls produced 390 insights, 470 facts and 125 frameworks.

The first approach, more memory for every agent, worked for about three weeks before memory itself became the bottleneck. The agency rebuilt it in layers for capture, retrieval, source truth, permissions and feedback. Siu writes that a weekly reporting loop could involve about 25 minutes of data pulling plus hours of follow-up, and that with the right context the answer could come back in under 60 seconds. These are his own figures and examples, and the article also promotes the agency's services for building such systems.

What it already gives the business

Siu's summary: "A company brain isn't useful because it remembers more. It's useful when it knows what to retrieve, what to trust, who can see it, and how to turn corrections into better work."

The agency has turned its sales conversations into reusable playbooks, and it treats every human correction as a rule for next time.

The ExValu perspective, a hypothesis

Where a Company Brain could take it next

Single Grain is further along than most. For a smaller business, the lesson is the order: decide which source wins when two disagree, who can see what, and how corrections flow back.

A Company Brain built on those rules from the start avoids the memory bottleneck the agency ran into. For Single Grain, a next step could be linking playbooks to client outcomes, so the team sees which advice actually worked. That is our hypothesis.

What an owner and a buyer would look for

Track win rates, ramp time for new salespeople and how often answers need correcting.

A buyer of an agency wants client knowledge in the business, held by more than a few people. Recorded calls need a clear legal basis and consent, and access rules for who sees which client's data.

The problem behind this case

Facing the same problem?

About this analysis

* The image is AI-generated and does not show Single Grain staff. The facts and figures on this page come from the published source named below.

This is an independent ExValu analysis of a published case. Facts, figures and names are as reported in the source below, which our team checked on October 12, 2026. The ideas for next steps are our own perspective and make no claim about conditions inside Single Grain. To request a correction or removal, write to [email protected].

Primary source: Article by the CEO, X article by Eric Siu, May 2026. Available at x.com/ericosiu/article/2060415100603781497.

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