Classification & routing
Categorize tickets, leads, documents, and messages — route with confidence thresholds.
AI / AGENTS
AI Automation with n8n
Combine deterministic n8n workflows with AI where it creates real leverage — classification, extraction, agents, and RAG without hype or fragile prompt chains.
THE PROBLEM
AI demos impress. Production AI workflows break.
Unstructured prompts, missing guardrails, no fallback when models hallucinate or APIs rate-limit — AI bolted onto automation creates new failure modes. Teams need workflows that use AI selectively, with validation, logging, and deterministic steps around non-deterministic model calls.
WHAT WE DO
AI-native automation engineering.
We design n8n workflows that integrate OpenAI, Anthropic, and other model APIs with clear boundaries: what the AI decides, what code validates, and what happens when confidence is low. Agents, RAG, and tool calling — implemented as maintainable systems, not experiments.
CAPABILITIES
AI workflow capabilities
Extraction & summarization
Pull structured data from unstructured text with validation and human-review paths.
Enrichment
Augment records with AI-generated research, scoring, or metadata before CRM updates.
Tool calling & agents
Multi-step agent flows that invoke APIs, databases, and workflows with defined guardrails.
RAG patterns
Retrieval-augmented generation connected to your knowledge base with citation and fallback logic.
Model integrations
OpenAI, Anthropic, and compatible APIs with retry, token management, and cost awareness.
EXAMPLE FLOW
AI lead qualification
Lead ingested
Enrichment API
AI qualification
Confidence check
CRM update
Sales alert
Low-confidence escalation
DELIVERABLES
What you receive
AI workflow design
Architecture showing model calls, validation steps, and failure paths.
Production workflows
Deployed n8n flows with monitoring and documented prompt/version strategy.
Operational guidance
Notes on cost, latency, and when to retrain prompts or adjust thresholds.
PROOF
Where AI saves the most time
For growing teams, the highest-return patterns are lead qualification, support ticket triage, and document extraction — each built with validation steps and human review before anything customer-facing goes live.
FAQ
Common questions
Do you build autonomous AI agents?
We build bounded agent workflows with defined tools, exit conditions, and human escalation — not open-ended agents without oversight.
Which AI providers do you support?
OpenAI, Anthropic, and compatible APIs. We integrate via n8n nodes and HTTP where needed.
How do you handle hallucinations?
Validation steps, confidence thresholds, structured output parsing, and human-review queues for high-stakes decisions.
Is AI always the right approach?
No. We use deterministic automation when rules are clear and add AI where judgment or unstructured data requires it.
Have an AI automation use case?
Describe the inputs, the decision or output you need, and the systems involved. We will assess fit and propose a production-oriented approach.