Skip to main content

AI Automation Agency That Builds Systems That Actually Run

From AI agents that close deals to workflows that eliminate 80% of manual operations, we build production-grade AI automation systems on your infrastructure.

Most AI Automation Projects Never Reach Production

The gap between a demo and a production system is where most automation projects die. It's not the idea or the tool, it's the infrastructure. Error handling, monitoring, guardrails, retry logic, audit trails, scaling under load. That's the work between “it works on my machine” and “it runs the business.”

Most agencies stop at the demo. We start where they stop. Every system we ship is built to survive contact with real data, real users, and real consequences.

What We Build

Specific, named deliverables, not vague promises.

AI Agents

Autonomous agents that make decisions, call tools, and execute work, in Slack, Telegram, or your own systems.

Workflow Automation

Multi-step, multi-system workflows that replace manual processes with deterministic, monitored execution.

AI Voice Agents

Production-grade voice agents for sales qualification, property management, and customer service, with 74% pick-up rates.

Document Processing

LLM-powered extraction, classification, and structured data flow from contracts, invoices, and case files.

Agent Security & Guardrails

Autonomy bounds you control. Memory hardening, escalation rules, and audit trails for every agent action.

Self-Hosted Infrastructure

Everything runs on your infrastructure. No third-party cloud touching your data. Compliance from day one.

How We Build AI Systems

Every agent and automation is architected across five layers.

01

Trigger

What starts the system: message, call, webhook, schedule, or event.

02

Reasoning

The model and its decision logic: which AI, which rules, which path.

03

Tools & Actions

What the system can actually do: APIs, databases, external services.

04

Memory & RAG

Context retrieval, knowledge bases, and persistent state across sessions.

05

Guardrails

Autonomy bounds. Escalation rules. Audit trails. What the system is NOT allowed to do.

The guardrails layer is our differentiator. Anyone can wire an LLM to a tool. We ship agents with autonomy bounds you control.

Where AI Automation Earns Its Place

Sales & RevOps

  • AI voice agents for qualification
  • Lead enrichment + scoring + routing
  • CRM automation and pipeline management
  • Automated outreach and follow-up

Operations & Finance

  • Document processing and data extraction
  • Invoice-to-payment reconciliation
  • Multi-system data sync and reporting
  • Slack-based approval workflows

Customer Success

  • AI-powered onboarding agents
  • Health scoring and churn prediction
  • Automated renewal workflows
  • Sentiment-aware escalation routing

Why n8n Lab

Production-Grade, Not Demo-Grade

Every system we ship includes error handling, monitoring, retry logic, and audit trails. We don't build demos, we build infrastructure that survives production.

Guardrails You Control

Our AI agents have defined autonomy bounds. They escalate to humans when they should. You decide what they're allowed to do unattended. Full audit trail of every action.

Self-Hosted. Your Data Stays Yours.

n8n runs on your infrastructure: on-prem, private cloud, or VPC. No third-party cloud processes your data. SOC 2, HIPAA, GDPR, compliance isn't a blocker.

Certified n8n Expert Partner

Deep expertise on one platform means systems that work at the infrastructure level, not just the UI level. 50+ automations deployed across industries.

Results We've Delivered

50+
Automations Deployed
5+
Departments Mapped
74%
Voice Agent Pick-Up Rate

The Stack We Build On

We match the tool to the problem, and we're honest about which tool fits.

n8nOpenClawHermesClaude CodeRetellAIVapiTwilioElevenLabsGeminiClaudeSalesforceRAGMCP

How We Work

01

Discovery

We map your operations, identify highest-ROI automation points.

02

Roadmap

Prioritised build plan with timelines, dependencies, and expected outcomes.

03

Build

Your first production system deployed on your infrastructure in weeks.

04

Retainer

Ongoing optimization, expansion, and escalation path to engineering.

Frequently Asked Questions

What's the difference between an AI agent and an AI automation?
An automation follows a defined path, same input, same output. An AI agent makes decisions, adapts its path, and can operate across multiple systems with autonomy. We build both, and we help you choose which one your process actually needs.
How long does a typical build take?
A first production system usually ships in 2-4 weeks. The exact timeline depends on complexity, integrations, and your infrastructure. We start with a fixed-scope build so you see ROI fast, then expand.
Where does our data live?
On your infrastructure. n8n runs self-hosted: on-prem, private cloud, or your own VPC. No third-party cloud processes your data unless you explicitly choose a managed provider.
Do you only work with n8n?
n8n is our primary orchestration layer, but we build with OpenClaw, Hermes, Claude Code, RetellAI, Vapi, and more. We match the tool to the problem, honestly.
What makes your AI agents different?
Guardrails. Every agent we build has defined autonomy bounds, escalation rules, and audit trails. You control what it's allowed to do unattended. That's not standard, it's our differentiator.

Let Us Help You Win Tomorrow's Automation Landscape

Start with an AI readiness audit. We'll map your operations, identify the highest-ROI automation points, and give you a build plan, no commitment required.

n8n Lab is an independent service provider. We are not affiliated with, endorsed by, or sponsored by n8n GmbH. “n8n” is a trademark of n8n GmbH and is used here only to describe the platform-specific implementation and automation services we provide.