We build, deploy, and maintain n8n workflows for businesses that want data sovereignty, AI-native automation, and no per-operation pricing. Simple flows in 1–2 weeks. Complex multi-system builds in 4–8 weeks.
Real Client Result
A UK-based B2B SaaS company had 3 FTEs spending 60% of their time manually processing 4,000 monthly contract renewals — pulling from HubSpot, checking entitlements, drafting emails, and updating records. Each renewal took 8–12 minutes of human time.
We built a self-hosted n8n workflow: triggers on deal stage change in HubSpot → retrieves contract details via API → passes to Claude Sonnet to generate a personalised renewal summary and email → sends via SendGrid → writes reply tracking back to HubSpot → escalates non-responses at day 7 and 14. Deployed in 11 days.
Lead enrichment, qualification scoring, follow-up sequences, and deal stage transitions — all triggered by real events in HubSpot, Salesforce, or Pipedrive. No manual data entry. No missed follow-ups.
Lead scoring, SDR sequences, deal close triggers
Ingest PDFs, contracts, invoices, or reports via n8n HTTP triggers. Pass to Claude or GPT-4o for extraction, classification, or summarisation. Write structured output back to your database or CRM.
Contract review, invoice extraction, report summarisation
Keep ERP, CRM, accounting, and operations tools in sync without expensive iPaaS connectors. n8n runs on your infra, respects your data boundaries, and handles the mapping logic you need.
Shopify → Xero, HubSpot → Netsuite, Jira → Slack
Trigger multi-step onboarding sequences when a deal closes: provision accounts, send welcome sequences, assign CSMs, create onboarding tasks, and schedule kickoff calls — automatically.
SaaS onboarding, client intake, access provisioning
n8n workflows act as callable tools for LLM agents — a Claude or GPT-4o agent calls your n8n webhook mid-conversation to look up data, create records, or trigger business actions. MCP integration included.
CRM lookups, booking creation, data retrieval
Daily KPI reports, anomaly detection alerts, SLA breach notifications, and executive summaries generated automatically and delivered to Slack, email, or your BI tool.
Weekly revenue reports, SLA alerts, ops dashboards
Both are valid. The decision comes down to data sovereignty, volume, and team capacity.
| Attribute | n8n Cloud | Self-Hosted |
|---|---|---|
| Cost at 100k executions/month | ~$50/month | $20–40/month (server) |
| Data stays on your infrastructure | No | Yes |
| HIPAA / SOC 2 alignment | Limited | You control it |
| Maintenance overhead | Zero | Low (Docker/K8s) |
| Setup time | <1 hour | 2–4 hours |
| Custom node installation | Restricted | Full access |
| Queue mode + workers | Managed | Redis + multiple workers |
| Horizontal scaling | Auto | Manual or Kubernetes HPA |
HTTP Request → OpenAI / Claude
Any LLM can be called via n8n's HTTP Request node. We use structured output schemas (JSON mode) so LLM responses are machine-readable and flow directly into downstream nodes without parsing.
Native AI Agent node
n8n's built-in AI Agent node supports tool calling with LangChain under the hood. Agents can call other n8n nodes as tools — lookup, create record, send notification — all within one workflow.
Document processing pipelines
PDF or image → Extract Text node → LLM for classification/extraction → structured output → database write. We handle multi-page documents, mixed formats, and high-volume batch processing.
Memory across sessions
Persistent memory using Redis or Postgres vector store nodes. Agents remember previous interactions with a contact — critical for customer service and relationship-driven workflows.
n8n as MCP tool — Claude calls your workflow
Claude agent: "Get the latest order status"
→ MCP tool call: get_order_status
{ orderId: 'ORD-4829' }
→ n8n webhook triggers
Queries Shopify API
→ Returns structured JSON to Claude
→ Claude: "Order #4829 is in transit..."
When n8n does not have a native integration for your tool, we write it in TypeScript.
Proprietary API nodes
Your internal APIs, legacy systems, and niche SaaS tools without community nodes. We build the node, write the credential schema, and publish it to your self-hosted instance.
Complex transform nodes
Heavy data transformations that exceed what the Code node handles cleanly. Custom nodes with full TypeScript, unit tests, and proper error handling.
Performance-critical nodes
Nodes processing large datasets (10k+ records per execution) benefit from optimised TypeScript with streaming, batching, and memory management built in.
Problem
Workflows that crash silently
Impact
n8n workflow errors do not always send notifications by default. A broken workflow can silently drop data for days before anyone notices — by which point the downstream damage is significant.
Our Fix
We add error trigger nodes to every critical workflow, route failures to a dedicated Slack channel with workflow name, execution ID, and failed node. Critical workflows get PagerDuty alerts.
Problem
Unthrottled API calls
Impact
n8n's default behaviour is to execute nodes as fast as possible. On a bulk operation (10,000 records), this saturates downstream APIs, triggers rate limits, and causes partial failures that are hard to recover.
Our Fix
We add batch sizing (typically 100–200 records), inter-batch delays matched to target API rate limits, and idempotency keys so retries do not create duplicate records.
Problem
No execution history retention policy
Impact
n8n stores every execution log in its database. A high-volume workflow with no pruning policy inflates the database to gigabytes within weeks, degrading performance.
Our Fix
We configure execution data pruning (typically 14–30 days for non-error executions, 90 days for errors), set up automated database backups, and monitor database size with alerting.
Problem
Credentials stored insecurely
Impact
Teams sometimes hardcode API keys in workflow nodes instead of using n8n's credential store. Keys in workflow JSON are visible to anyone with workflow access and get exported in workflow backups.
Our Fix
All secrets go through n8n's encrypted credential store. We audit all workflows before go-live to confirm zero hardcoded credentials, and set up credential rotation reminders.
Problem
Single-worker bottleneck under load
Impact
A default n8n setup uses one main process. A spike in concurrent workflows queues behind a long-running execution, causing delays across unrelated workflows.
Our Fix
For workloads above 50 concurrent executions, we deploy n8n in queue mode — a Redis queue, a main process for webhooks, and N worker processes. Workers scale horizontally as load increases.
Single-system integrations, linear trigger → action flows, data sync between two tools.
Multi-system orchestration, AI nodes, custom node development, queue mode setup.
Tell us what you want to automate. We scope it in 30 minutes, build it in 1–8 weeks, and hand it off fully documented.