Proprietary AI agents, built for your stack.
We build the AI agents and marketing automations most teams can't ship internally — content ops, attribution analysis, lead qualification, automated reporting, sales intelligence. Built on n8n, OpenAI, and Anthropic with proper engineering hygiene.
// AI as infrastructure, not as marketing buzzword.
Why AI Automations is the new marketing engineering.
Marketing teams in 2026 spend a huge share of their time on high-volume, repetitive work: research, drafts, lead enrichment, reporting, attribution analysis. Most of this work is now automatable with proper AI engineering. Most teams aren't set up to build it.
AI Automations is the discipline of identifying the workflows that benefit most from AI, building the agents and integrations that automate them, and operating the result in production. It's where engineering depth meets marketing operations.
Done right, it frees senior strategists for high-judgment work and removes hours per week from execution roles. Done wrong, it's another generative AI demo that nobody trusts in production. The difference is engineering discipline: error handling, observability, cost monitoring, prompt versioning, and human-in-the-loop where it matters.
From audit to outcomes.
Map the workflow before automating.
We start by mapping the actual workflow — what triggers it, what steps it includes, where the manual time goes. No automation without that map. Most "AI automation" projects fail at this step.
Identify the AI use case correctly.
Not everything benefits from an LLM. We separate "this needs LLM judgment" from "this just needs deterministic automation" and pick the right tool for each step. Most workflows are mostly deterministic with one or two LLM-judgment steps.
Build a working prototype fast.
A working prototype in 1-2 weeks that demonstrates core value. We get this in front of users — internal team or selected customers — before scaling. Bad assumptions surface early, not after months of build.
Production hardening.
Error handling, observability, cost monitoring, prompt versioning, fallbacks, human-in-the-loop where needed. AI in production needs the same engineering discipline as any other system.
Handoff and ongoing support.
Documentation, training, defined ownership. The system becomes yours from day one. We stay involved through optimization cycles, but the operational model is built for your team to own.
Six deliverables in every AI Automations engagement.
AI workflow audit
Map of automation opportunities across your marketing stack. Prioritized by ROI: time saved, cost saved, quality improvement.
Custom AI agents
GPT-based agents tailored to your workflows: content research, lead enrichment, attribution analysis, sales intelligence, internal Q&A.
n8n workflow automation
Visual workflow automation connecting your stack — CRM, email, ads, analytics, databases — without writing glue code.
GPT-based knowledge systems
Searchable, accurate internal knowledge bases for sales, support, and ops teams. Stays in sync with source docs.
Marketing ops automation
Lead routing, scoring, enrichment, lifecycle automation. CRM-marketing integration that fires correctly every time.
AI-augmented reporting
Automated weekly performance reports with narrative explanations — not just charts, plain-language analysis of what changed and why.
The AI Automations stack we know cold.
Where AI Automations gets pulled into our work.
Content ops at 40+ pieces per month
Marketing team needs to ship 40+ pieces per month across blog, social, and email. AI Automations builds an agent stack that handles research, briefs, drafts, fact-checking, and CMS publishing. Humans review and edit; AI handles heavy lifting. Output triples without headcount growth.
Sales intelligence for outbound team
BDR team spends 2 hours per prospect on research. AI Automations builds a GPT-based agent that produces a complete prospect briefing — company, role, recent triggers, talking points — in under 30 seconds per lead. BDR capacity doubles.
Attribution analyzer for marketing leadership
Marketing leadership doesn't trust the attribution dashboard. AI Automations builds an agent that ingests raw event data, runs multi-touch models, and produces a weekly narrative explaining which channels drove revenue and why. Decisions get made on actual analysis, not feelings.
Questions we hear about AI Automations.
What AI Automations pairs best with.
Talk to our AI Automations lead.
A 30-minute call to talk through your situation, your current stack, and whether AI Automations is the right fit for your stage of growth.
Get in Touch