Proprietary AI agents and growth automations, built in-house.
AI Lab is the team that builds the AI infrastructure most companies can't ship internally — content ops agents, attribution analyzers, lead qualification flows, automated reporting, GPT-based knowledge systems.
// Where AI stops being marketing buzzword and starts being infrastructure.
Six capabilities, delivered as one team.
AI agent development
Custom GPT-based agents tailored to your workflows: content research, lead enrichment, attribution analysis, sales intelligence, internal knowledge bases.
n8n workflow automation
Visual workflow automation that connects your stack — CRM, email, ads, analytics, databases — without writing glue code.
Marketing ops automation
Lead routing, scoring, enrichment, and lifecycle automation. CRM-marketing integration that actually fires correctly every time.
AI-powered analytics
Decision support tools that turn raw data into action: anomaly detection, attribution explanations, predictive LTV scoring.
Knowledge systems
GPT-based internal knowledge bases for sales, support, and ops teams. Searchable, accurate, kept in sync with your source documents.
AI-augmented reporting
Automated weekly performance reports with narrative explanations — not just charts, but plain-language analysis of what changed and why.
From scope to handoff.
Map the workflow
We start by mapping the actual workflow we're automating — what triggers it, what steps it involves, where the manual time gets spent. No automation without that map.
Identify the AI use case
Not everything should be an AI agent. We separate "this needs LLM judgment" from "this just needs deterministic automation" and pick the right tool for each step.
Build the spike
A working prototype in 1-2 weeks that demonstrates the core value. We get this in front of users early — internal team or selected customers — before scaling.
Production hardening
Error handling, observability, cost monitoring, prompt versioning, fallbacks. AI in production needs the same engineering discipline as any other system.
Handoff and iteration
Documentation, training, and a defined ownership model. We stay involved through optimization cycles, but the system is yours from day one.
The tools we know cold.
Common engagement patterns.
Content ops at scale
Marketing team needs to publish 40+ pieces a month across blog, social, and email. AI Lab builds an agent stack that handles research, briefs, drafts, fact-checking, and CMS publishing — humans review, AI handles the heavy lifting.
Attribution that actually works
Marketing leadership doesn't trust the attribution dashboard. AI Lab builds an agent that ingests raw event data, runs multi-touch models, and produces a weekly narrative explaining which channels drove revenue and why.
Sales intelligence automation
BDR team spends 2 hours per prospect on research. AI Lab builds a GPT-based agent that produces a complete prospect briefing — company, role, recent triggers, talking points — in under 30 seconds per lead.
Internal knowledge base
Customer support team has 400 internal Notion docs and rising ticket volumes. AI Lab builds a searchable, accurate GPT interface that surfaces the right answer in 3 seconds — and keeps itself in sync with the source.
The other two teams that make this work.
Talk to our AI Lab lead.
A 30-minute call to talk through what you want to build, what your stack looks like today, and whether this studio is the right fit.
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