n8n automation services
Reliable AI Automation Across the Tools Your Business Already Uses.
We design n8n workflows that connect email, CRMs, databases, documents, support systems, and AI models with approvals, retries, logs, and clear operational ownership.
ORIGINAL CORERIQO LABS DEMONSTRATIONThe operating problem
Automation fails when it ignores exceptions and ownership.
Copying information between systems creates delays and errors, but a fragile workflow can create a different problem. Production automation must handle malformed data, API outages, duplicate events, approval decisions, and the cases that need a person.
How CoreRiqo Labs engineers the solution
We map the complete decision flow, keep deterministic logic around business rules, use AI only for interpretation, build reusable n8n sub-workflows, and add error queues, alerts, retries, idempotency, and audit records.
Engineering scope
Capabilities built into the system.
AI classification and extraction
API, webhook, CRM, and database integration
Human approval workflows
Retries, alerts, and failure queues
Execution monitoring and documentation
Reference architecture
Designed beyond the model layer.
A production AI system needs data, interfaces, controls, evaluation, deployment, and ownership—not only a model API.
- 01Event, schedule, form, or webhook trigger
- 02Input normalization and duplicate protection
- 03Business rules and AI interpretation
- 04Approval or exception routing
- 05Cross-system updates and notifications
- 06Logs, retries, and operational dashboard
Where it creates value
Practical applications.
Lead operations
Qualify, enrich, route, and follow up on inbound leads while maintaining clean CRM records.
Document-driven workflows
Extract information from attachments, validate it, request review, and update the system of record.
Customer support automation
Classify cases, prepare responses, update tickets, and escalate based on confidence or policy.
Internal reporting
Collect information across systems, produce summaries, and distribute scheduled operational reports.
Typical technology stack
n8n · OpenAI / Anthropic · FastAPI · REST / GraphQL · PostgreSQL · Redis · AWS · Docker
Service FAQ
Questions before a build begins.
When should AI be used inside n8n?
AI is useful for unstructured interpretation such as classification, extraction, summarization, and drafting. Deterministic business rules should remain explicit.
Can you improve an existing workflow?
Yes. We audit reliability, duplicated logic, security, error handling, model usage, execution cost, and maintainability.
Will our team be able to maintain it?
We provide named workflows, reusable components, environment guidance, documentation, and handover so the automation remains understandable.
Start with the workflow
Bring us the business problem.
In a focused 30-minute consultation, we will discuss the users, workflow, data, integrations, risk, and the smallest useful next step.
Book your consultation