Services

n8n Automation

n8n workflows that survive audits, not just demos.

I build production-grade n8n automations with versioning, retries, monitoring, and real ownership. Self-hosted or cloud, both done right.

(01)What you get

n8n is the most powerful open automation platform available, when it's set up right. I help teams move off Zapier, stand up self-hosted n8n, and build workflows that handle retries, webhooks, APIs, and AI calls the way production code should.

  1. 01

    Self-hosted n8n on Docker

    Hardened Docker Compose / Kubernetes deploys, Postgres queue mode, scaled workers, automated backups.

  2. 02

    Production-grade workflows

    Idempotent steps, proper error branches, retries with backoff, dead-letter queues, and alerting that pages the right person.

  3. 03

    AI-augmented automations

    LLM nodes with typed outputs, hybrid human-in-the-loop approvals, RAG calls against your data, cost-aware routing.

  4. 04

    Git-backed workflows + CI

    Workflows versioned in Git, environment promotion (dev → staging → prod), PR review before anything goes live.

(02)How we work

  1. 01

    Audit

    Inventory existing automations (Zapier, Make, scripts), identify high-value candidates, plan a migration path.

  2. 02

    Stand up

    Deploy self-hosted n8n with queue mode, Postgres, and observability. Or harden your existing cloud setup.

  3. 03

    Migrate + build

    Rebuild priority workflows properly, in Git, with tests where possible. Not copy-paste from Zapier.

  4. 04

    Operate

    Runbook, on-call rotation if needed, monthly review of workflow health and cost.

(03)Stack and engagement

n8n, Docker, Postgres, Redis, Traefik, GitHub Actions, Prometheus, Grafana

Typical engagements: 1-week audit + roadmap, 4-8 week build. Retainers available for ongoing workflow ops.

(04)Frequently asked

Should I self-host n8n or use n8n Cloud?

It depends on scale, data sensitivity, and team skill. Cloud is faster to start; self-hosted is cheaper at scale and keeps data in your infra. I help you pick based on real numbers, not defaults.

Can you migrate our Zapier / Make workflows?

Yes. Migration is rarely one-to-one, I rebuild workflows using n8n's strengths (loops, code nodes, queues) rather than copying Zapier's limitations. Expect fewer, more powerful workflows after migration.

How do you version n8n workflows?

Workflows are exported as JSON, committed to Git, reviewed in PRs, and promoted through environments via CI. No more 'someone changed something and broke prod' at midnight.

Do you handle scaling?

Yes. n8n with queue mode, Redis-backed BullMQ, horizontal worker scaling, rate-limiting on webhook endpoints, and autoscaling where the load pattern justifies it.

Can n8n handle AI / LLM workflows?

Absolutely. n8n's HTTP + AI nodes, plus custom code nodes when needed, handle LLM calls, RAG, vector search, and multi-step agent flows. For anything truly agentic I often pair n8n with LangGraph for the reasoning loop and use n8n for the orchestration + I/O.

Let’s talk about your project.