Service · AI Enablement

AI that reduces execution overhead.

We build AI-native workflows, agentic content pipelines, custom tooling, and automation systems that make your growth team faster. Production-grade, embedded in how your team actually works.

Programs we run · Named, numeric

Three numbers from current accounts.

Inner Balance

<1% → 40%

CRM-attributed revenue · 50 quiz-powered flows in Klaviyo

See the work

Rhoback

+300%

signup conversion · 50+ A/B tests in 90 days

See the work

Zero

4 yrs

embedded CRM team · SendGrid → Braze → DAU lever

See the work

Who this is for

Find yourself on this list.

BRCG works across industries. The team has shipped CRM, paid, SEO, and product work for DTC, gaming, fintech, social, marketplace, and nonprofit. What matters is the situation. If one of these reads like the room you're sitting in, the work below is built for you.

01

You experimented with AI tools but never built systems. Nothing compounds.

AI stack audit. We map every AI surface in your existing stack, size the impact, and pick the first three to build. Real plan, not a deck.

02

You want more output without adding headcount, and execution bandwidth is the bottleneck.

Custom agents and pipelines wired into where the work happens. Campaign QA, reporting, brief writing, competitive intel. Built per stack, running in Slack.

03

AI-generated content reads like AI. Eval scores haven't been set.

Eval harness, prompt versioning, human-in-the-loop review. Quality compounds week over week instead of degrading to slop.

04

Klaviyo AI, Braze Sage AI, HubSpot Breeze sit in product. No one knows what's actually moving the number.

Send-time AI, predictive segmentation, subject-line bandits, content variants. Tuned to your data, not the platform defaults that ship out of the box.

05

Search traffic shifting to ChatGPT and Perplexity. LLM visibility is unknown.

LLM-visibility / AEO program. GPTBot and ClaudeBot access first, passage-level structure, and cited stats the models can lift. llms.txt treated as experimental, not a ranking lever. Citation monitoring across the AI search surfaces.

06

Personalization at scale would change the business. Creative production can't keep up.

fal.ai or comparable wired into the lifecycle. Per-segment variants generated at send-assembly time, not pre-rendered. Pipeline runs as a service the program calls.

What we run on

The stack.

Shipping production work on every tool below. No theoretical knowledge, only platforms we've built programs on.

fal.ai

Image gen · personalization

Hightouch AI Decisioning

Autonomous next-best-action

Eppo / GrowthBook

Experimentation

What you receive

Things that ship.

Concrete outputs, not slide decks. Each one shows up in your stack and your inbox, never as a PDF.

Week 1-2

AI stack audit.

Where AI creates leverage in your specific growth program vs. where it adds noise. Prioritized, sized.

Week 3+

Custom agents.

Campaign QA agent, reporting agent, competitive intel agent. Built per your stack, wired into your Slack.

Week 4+

Content pipeline.

AI-drafted, human-edited, schema-marked-up. SEO + lifecycle copy at 4× velocity.

Always-on

Eval harness + versioning.

Every prompt and agent is versioned, evaluated weekly. Improvements compound.

The live operating surface

What the AI surface looks like, every day.

Scroll the dashboard. The frame stays in view while the surface cycles through every operating view BRCG ships against: synthetic numbers, real shape.

BRCG Ops · AI·Agent uptimeLIVE

Production · Agent uptime + health

Agents in prod

9

across 4 accounts

Uptime

99.4%

trailing 30d

Median latency

1.8s

p50

On-call incidents

0

this week

Agent

Use

Status

Eval

Campaign QA agent

Lifecycle ops

Live

0.91 pass · gates every send

Reporting agent

Weekly readout

Live

writes Loom outline

Competitive intel agent

Strategy

Live

ChatGPT + Perplexity sweep

Personalized image gen

fal.ai pipeline

Live

128K+ images

Predictive segmentation

ML scoring

Rolling

Hightouch AI Decisioning

Brief writer agent

Strategy

Testing

eval gate at 0.82

Production · Eval pass rates

Avg eval score

0.84

rolling 7d

Gates failing

1

blocking merge

Eval coverage

100%

of prod agents

Human review hits

6%

trailing 30d

Eval pass rate · trailing 12 weeks

W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
W11
W12

Iteration · Prompt versioning + delta

Versions shipped

26

this quarter

Avg eval delta

+0.04

per ship

Rollbacks

2

this quarter

A/B prompts live

4

running

Highest-impact prompt versions · trailing 90 days

  • 01

    Campaign QA · v14

    +0.08 eval lift

    +0.08
  • 02

    Reporting agent · v9

    +0.06 eval lift

    +0.06
  • 03

    Image gen brief · v22

    +0.05 eval lift

    +0.05
  • 04

    Intel sweep · v7

    +0.04 eval lift

    +0.04
  • 05

    Brief writer · v3

    -0.02 rollback

    -0.02

Iteration · LLM citation tracking

ChatGPT citations

23

+9 trailing 30d

Perplexity citations

18

+7 trailing 30d

AI Overview hits

12

+4 trailing 30d

llms.txt

Live

v1 published

Combined citation count · trailing 12 weeks

W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
W11
W12

BRCG Labs

Where every agent + workflow gets prototyped before it ships to a client.

labs.brcg.co is the working bench: public prototypes, agent demos, eval runs, and AEO / LLM-visibility experiments. Every agent we put into production for a client lived in Labs first. You can see how we think before you sign anything.

  • Prototypes you can poke. Live agents and tools running in-browser. Click them, break them, tell us what you'd build on top.
  • Eval transparency. Where it makes sense, eval scores and prompt versions ship next to the demo so the quality bar isn't a vibe.
  • The pipeline into engagements. When a Labs experiment graduates, it lands in a client stack as a production agent with SLOs, owner, and an eval harness running weekly.
  • AEO / LLM-visibility plays. The passage rewrites, citation monitoring, and AI-search crawler work tested on brcg.co itself, the same plays we run for clients.
Visit labs.brcg.co

How we work

Phased delivery.

Each phase has a defined output. Nothing ships without one.

Week 1-2

AI audit.

Map AI surfaces in your stack. Size the impact. Pick the first 3 to build.

Week 3-6

Quick wins.

Native AI features in your ESP/ad platforms turned on, tuned, measured.

Week 6-10

Custom agents.

Build the 3-4 agents that earn their seat. Wire into Slack and the existing tools.

Month 3+

Scale + iterate.

Eval harness running, prompts versioning, weekly improvements compounding.

Full scope

Everything we cover.

Agentic content pipelines: brief-to-deployment AI-agent workflows for research, copywriting, variant generation, and QA on n8n, Make, or custom, output into CMS, ESP, or ad platform

Creative testing at scale: 5-10x more test-ready creative from the same brief

Personalization infrastructure: AI personalization across email, SMS, and web, with real-time dynamic content and recommendations

Predictive modeling + audience modeling: predictive LTV, churn risk, and lookalikes on first-party data

Custom workflow automation: approval routing, asset trafficking, reporting, and data syncing in n8n, Make, or Zapier

Custom dashboards + internal tooling, plus LLM visibility and AI search positioning

How the work runs

The shape of a BRCG engagement.

The work runs against the same cadence regardless of service. Every column is something we ship on every engagement. The right side is what most agencies actually deliver.

Audit

BRCG

48 hours, built from your live data.

Most agencies

4-6 weeks of discovery decks and a kickoff workshop.

Weekly readout

BRCG

Under five minutes. What shipped, what moved, what's next.

Most agencies

Monthly QBR deck. Slides, not signal.

Operating dashboard

BRCG

Live and visible end-to-end. Pull it up any day.

Most agencies

PDF in email when reporting day comes around.

Experiment cadence

BRCG

A/B tests shipped weekly. Documented every time.

Most agencies

Tests scoped quarterly. Results discussed in slides.

Deliverability

BRCG

Owned. Sender reputation watched daily. Triaged same-day if a domain wobbles.

Most agencies

Flagged to the platform when complaints spike.

Migration risk

BRCG

Parallel-write where it matters. You never go dark on a send.

Most agencies

Hard cutover. Hold your breath through hypercare.

What we target

Numbers we hit when the work runs right.

Targets the team builds against on every engagement in this service. Calibrated against your baseline in week one, then tracked weekly. The audit makes the starting line honest before we agree to the finish.

Eval pass rate

0.80+

Rolling 7-day eval score on every agent in production. Gates merges, not vibes.

Agent uptime

99%+

Production agents running against SLOs, alerting on degradation, on-call handoff documented.

Workflow hours saved

100+ / wk

Tracked against pre-agent baseline per task. Agents that don't earn their seat get cut.

Prompt versioning

Monthly

Versioned prompts shipping monthly with eval delta. Quality compounds, not degrades.

LLM citation rate

Trending up

Citations on Perplexity, ChatGPT search, AI Overviews. Tracked per brand and per topic.

Agents in production

3-5 / quarter

Real agents wired into work, not demoware. Each one with an owner, SLO, and eval harness.

Get started

Free audit. 48 hours.

No deck, no pitch. Tell us about your stack. We'll reply with where we'd focus first.

Request your free audit.

Built from your live data, not a template. Turnaround under 48 hours.

FAQ

Common questions.

How fast can you start on ai enablement?

Audit ships in 48 hours. Build starts in week 2 once findings are signed off. First live deliverables go out by week 4. There are no quarterly timelines.

What's realistic for a first lift?

Depends on the starting state. The audit calibrates the number against your actual data, not a benchmark deck. Where the baseline is broken, first weeks usually move 20-40% on opens or clicks. For mature programs we hunt incremental: 5-15% on the right cohort, compounded across six months. We won't promise a number on the first call we can't show you the math for.

Who actually does the work on ai enablement?

Your audit and your build are run by the same specialists, with no handoff to a junior pod once you sign. On Rhoback that was one embedded team across the audit and all 50+ A/B tests. On Inner Balance, across the quiz integration and the 50+ flows it powers. Typical BRCG team: two or three specialists working directly in your stack and your project board.

What if we already have an in-house growth / AI lead?

That's a preferred starting condition. We work alongside in-house leads as the ops bench: the platform work, the experiments their team doesn't have cycles for, the migrations no one wants to own. Several of our longest accounts have full in-house teams who use us for the work they shouldn't be doing themselves.

What's in scope and what isn't?

In scope: strategy, audit, builds, experiments, weekly readouts, dashboards, platform migrations, agent and AI tooling work. Out of scope: ad media spend (no commission, ever), full creative production for video, brand identity. Scope is explicit in the SOW so there are no surprises on month two.

How does reporting actually work?

Weekly readout, always under five minutes. What shipped, what moved, what's next. Email or Loom, your call. The live operating dashboard runs in the background: migration tracker, daily send performance, attributed revenue trend, lifecycle map. You can pull it up any day.

How do you keep the agents reliable in production?

Every agent is eval-gated and versioned, with an owner and an on-call handoff documented before it ships. Evals run on a rolling window so degradation alerts before the output slips, and prompt versions ship with an eval delta so quality compounds instead of drifting to slop. Demoware doesn't reach production.

What happens at month 4 once the audit work is done?

The work shifts from rebuild to operate. The audit identifies three to five opportunities sized in dollars; months one through three ship the rebuild. Month four onward is steady-state operations: testing, optimizing, new flows as the business evolves. Most engagements compound. Few taper.

Do you require a long-term contract?

No. We work month-to-month after a 90-day minimum. If we're not driving outcomes you should be able to leave clean. We would rather earn the next month than lock you into one.

What does engagement look like: agency, embedded, or both?

Embedded by default. We work inside your stack: your Slack, your CRM, your ad accounts, your project board. Like an extension of the team, not a vendor sending decks.

In their words

What the teams say.

BRCG operates like they're part of our team. Senior people doing the actual work, fast turnarounds, and they understand the complexity of our scale without needing hand-holding.

Director of CRM

Discord

Discord

Talk to us about your program.

Book a call. We'll create a free audit on your stack. What's working, what's not, what we'd change first.

Book a growth call