
Apparel · DTC
22NatiON
+26%
Conversion rate
Ongoing
Engagement
Steady
Audience growth
A precision launch that turned a new collection into a sell-out moment.
Service · AI Automation
Most agencies sell AI as a buzzword. We design and operate the systems — lead enrichment, audience modeling, content workflows, brand-voice generation, and reporting agents — that compress weeks of manual work into hours, with senior humans still in the loop where it matters.
Outcomes
Targets, not promises — the metrics every engagement is measured against. Real numbers from real clients live in the case studies below.
10×+
Speed on audience research
−60%
Manual reporting time
24/7
Lead enrichment cadence
Weeks
Time to production system
Who it's for
AI automation pays back fastest where there's repeatable knowledge work and clean data. The clients who get the most leverage tend to share these traits:
Ideal clients
Industries
Stages
Methodology
Every AI automation engagement runs through the same four-stage loop. We don't ship demos — we ship production systems with documentation, monitoring, and a runbook.
We sit with the people doing the work, document the steps, identify what's repeatable, and map where AI adds leverage versus where it adds risk. Not everything should be automated.
Each workflow is designed as a graph — inputs, transformations, validation, human-review gates, output. We pick tools (Clay, n8n, Zapier, Make, custom code, the OpenAI / Anthropic APIs) based on the job, not the trend.
Systems are built with monitoring, error handling, and clear ownership. Senior humans review where judgment matters — copy approval, lead qualification, anomaly response — so quality holds at scale.
We document the runbook, train the in-house team, and stay on retainer for the first quarter to tune. The system is yours when we're done — not a black box that breaks the moment we leave.
What's included
What gets built inside a typical AI automation engagement.
Inbound and outbound leads enriched with firmographic, intent, and persona data — then scored against your ICP using a model trained on your closed-won history.
Brand-voice generation pipelines for ad copy, email, social, and short-form video scripts. Senior creative reviews every output before it ships.
Weekly performance digests compiled automatically — pulling from Meta, Google, GA4, your CRM — and written in your team's voice, not template English.
Customer-call transcripts, support tickets, and review data clustered into audience territories that inform creative, copy, and product positioning.
Documentation of every workflow, owner, monitoring alert, and escalation path — so the team can run the system without us.
Where AI changes the math
Most agencies say they 'use AI.' Here's what that actually looks like in production for our clients.
Production systems use structured prompts with explicit schemas, validation, and retry logic — not a teammate copying outputs out of ChatGPT. The difference is reliability and audit trail.
Every system has a defined gate where a senior human reviews. Copy ships through editors. Leads route through a qualifier. Reports are signed off before they leave the building. Speed without judgment is just faster mistakes.
We build on Clay, n8n, Make, Zapier, custom code, and the major model APIs depending on the workload. The systems aren't locked into a single vendor — so when models or pricing change, the work doesn't break.
Frequently asked
Related services
01
Lead generation systems that produce qualified, sales-ready inbound — paid acquisition, landing pages, scoring, and CRM handoff designed as one machine.
02
CRM systems engineered for lifecycle revenue — implementation, automation, segmentation, and email programs that turn pipeline into compounding LTV.
03
Editorial content systems — short-form, long-form, talent, and post — built to drive both brand and pipeline.
Engage
Most engagements start with a 30-minute strategy call — no pitch deck. We'll walk through your goals, your numbers, and what the first 90 days should look like.