What should we automate first?
The work that is high-volume, rules-based, and low-judgment: lead routing and enrichment, reporting, data sync between tools, and content or QA checklists. We map your workflows, quantify the hours each one costs, and start where the payback is fastest and the risk is lowest. Money, legal, and relationship decisions stay with a person.
Will AI make decisions on its own?
No. We automate the 70 to 85 percent of work that is repetitive and rules-based, and we keep a human in the loop on anything involving money, legal exposure, or client judgment. Automations draft, classify, route, and sync; people approve and decide. Every automation has a clear owner and an audit trail.
Do you use n8n, Make, or custom code?
We default to n8n for workflow orchestration because it is durable, self-hostable, and inspectable, and we add custom code or AI model calls only where they earn their place. The goal is infrastructure you can see, maintain, and own - not a black box wired together with no documentation.
What happens if a workflow fails mid-run?
We build for durable execution: a workflow that stops on a network hiccup or a rate limit resumes from where it left off instead of double-charging, double-sending, or losing state. We add retries, idempotency, error routing, and alerting so a failed step is caught and recovered, not silently dropped.
Is this just chatbots and AI content?
No. Most of the value is unglamorous plumbing: moving data between tools, enriching and routing leads, generating reports, and running QA checks. We use AI models where they genuinely help - classification, drafting, extraction - and frame everything around outcomes like hours saved and errors removed, not AI for its own sake.
How do automations connect to the rest of our growth stack?
Automation is one layer of a connected operating system. It moves data between SEO, content, CRM, and analytics so the other layers compound instead of stalling at manual handoffs. We design it as part of the whole stack, not as another disconnected tool you have to wire in yourself.
Do you run AI automation internally, or just sell it?
We run our own AI-agent operating system to deliver client work - orchestrated agents, automated QA, and durable workflows. We sell automation from lived practice, not from a slide deck, which means we have already hit and solved the failure modes most teams discover in production.