A tailored strategy to solve your most critical challenges and unlock growth.
We've taken the time to deeply understand your current situation. Here's what we identified.
Workflows stitched together without architecture look fine in demos and break in production — missing error handling, no retry logic, hardcoded credentials. When a step fails at 2am on a Saturday, nobody knows until a deal is already lost.
Calling an LLM inside an automation is easy. Getting it to return structured, parseable output that downstream nodes can actually act on is an architecture problem. Unguarded LLM calls are the single most common workflow failure point.
When workflows ship without documentation, an error handling map, or plain-English explanations, they become a black box. The moment the builder is unavailable, operations stall and the system can't be safely extended or debugged.
I start with the business problem — mapping data flow, identifying failure points, and designing the architecture before touching a single node. Then I build: custom JavaScript nodes, structured LLM prompts with parseable outputs, human-in-the-loop approval gates, retry logic, contextual error logging with actionable alerts, and GDPR-compliant data handling. Every workflow ships with a JSON export, credential best practices, an error handling map, and a plain-English walkthrough your team can actually use.
Everything you need — built, delivered, and ready to run.
A clear, phased approach so you always know what's next.
Deep dive into your business processes, data flows, and platform stack. Map the full automation architecture on paper — nodes, branches, failure paths, and approval gates — before a single workflow node is written.
Build the primary n8n pipelines: API integrations, data transformation nodes, webhook triggers, and CRM record management. Test with realistic production-grade data at every stage.
Wire in LLM calls with structured output prompts, human-in-the-loop approval gates, and full error handling — retry logic, contextual logging, and routed alerts. Validate AI outputs against downstream node requirements.
Deliver the full package: exported workflow JSON, environment variable credential setup, error handling map, and a plain-English stakeholder walkthrough. Everything your team needs to maintain and extend the system independently.
A visual breakdown of your build — from first touch to close.
I've built n8n pipelines with LLM integration, human-in-the-loop logic, and full error handling for operations teams that can't afford downtime. Happy to jump on a quick call and walk through your specific workflow before we start.