Stop doing the work that software should be doing for you.

Automation runs deterministic workflows: when X happens, do Y. AI handles the work where the rules can't be written down in advance — reading an email and deciding what category it falls into, summarizing a call transcript, generating a response that matches your voice. Most useful business automations combine both: deterministic triggers and routing, with AI making the judgment calls inside the workflow. n8n handles the orchestration. Claude handles the language and judgment work. Together they're more useful than either alone.

n8n is an open-source workflow automation platform with a visual node-based editor and 400+ integrations. We recommend it for three reasons: self-hostable so your data doesn't have to live in a third-party SaaS, transparent pricing without per-task fees, and a Code node that lets us drop into JavaScript or Python when a workflow needs custom logic. For automation work where data sensitivity, cost predictability, and customization matter, it's the most flexible option available.

Anthropic's Claude is the AI model we reach for most often. Inside an n8n workflow, Claude can read incoming emails and classify them, summarize long documents into actionable briefs, extract structured data from unstructured text (invoices, contracts, intake forms), generate draft responses that match your tone, and act as the reasoning layer for multi-step agents that take action on your behalf. We typically connect through the Anthropic API and use whichever model fits the task — Haiku for high-volume classification, Sonnet for balanced work, Opus for complex reasoning.

Claude Code is Anthropic's agentic coding tool. It reads your codebase, edits files, runs commands, and integrates with your development tools — all through natural language. We use it internally to accelerate every engineering engagement: building custom integrations, refactoring legacy code, writing test coverage, and shipping features dramatically faster than traditional consulting hours would allow. The output is your code, in your repo, under your control — Claude Code is the engineering tool we use; you don't pay an extra license for it.

Yes — this is the most valuable category of work right now. An agent that can read an email, look up the customer in your CRM, draft a response, schedule a follow-up, and update the deal stage is dramatically more useful than a chatbot that just generates text. We design agents that take action through tool use: API calls, database writes, sending messages, creating tickets. Every action is logged and auditable. Most clients start with one focused agent (intake triage, sales follow-up, support deflection) before expanding.

Three phases. Discovery (1–2 weeks): we map your current processes, identify the highest-leverage automation opportunities, and propose a prioritized roadmap with effort estimates. Build (2–6 weeks per workflow): we design, build, and test the automation in your environment, integrate with your existing systems, document everything. Operate (ongoing, optional): we monitor, maintain, and iterate on the automations as your business evolves. You can stop at any phase — we don't lock you into multi-year contracts.

Three layers of attention. First, where the data goes: we use Anthropic's API with their commercial terms (zero-data-retention available; data not used for model training) and we can self-host n8n so workflow data stays in your infrastructure. Second, what the AI can do: every agent operates with defined, auditable scopes — it can only access systems we've explicitly granted, and every action is logged. Third, what the AI shouldn't do: we build human-in-the-loop checkpoints into any workflow that touches money, sends external communications, or makes irreversible decisions. The fully autonomous agent that does everything alone is rarely the right answer.