Every growing company accumulates the same tax: someone copying data from one system into another. A lead arrives in a form and gets typed into the CRM. An invoice arrives as a PDF and gets keyed into accounts. A support question arrives at midnight and waits until morning. None of it needs a human, but all of it takes one.

We remove that tax with workflow automation — and where a decision genuinely needs judgement, we put a language model in the loop rather than a person.

Who this is for

Operations, sales and support teams whose headcount grows in step with volume rather than with revenue. Companies running five or more SaaS tools that do not talk to each other. Teams who have hit the ceiling of what Zapier can do, or whose per-task pricing has become the second-largest line in the software budget.

Problems we solve

Swivel-chair work. Staff acting as the integration layer between systems that should talk directly.
Silent failures. An automation breaks, nobody is alerted, and the gap is found weeks later in a reconciliation.
Per-task pricing. Costs that scale linearly with success, so the automation gets more expensive precisely as it works better.
Rules that cannot express judgement. If/then logic that cannot read an email and decide whether it is a complaint, an order or spam.
Vendor lock-in. Business-critical logic held inside a closed platform you cannot export, test or version-control.

What we build

n8n workflows on infrastructure you own, version-controlled and self-hostable
AI-in-the-loop automations that classify, extract, summarise and draft before routing
Two-way syncs between CRM, ERP, helpdesk, billing, spreadsheets and your own database
Event-driven pipelines: webhooks, queues, retries, dead-letter handling and idempotency
Human-in-the-loop approval gates for anything that spends money or touches a customer
Monitoring, alerting and run history, so a broken workflow announces itself

How we work

We map the process before we automate it, because automating a broken process just produces failures faster. We follow one real case end to end, note every system it touches and every decision made, then automate the highest-volume path first and leave the exceptions to people. Each workflow ships with retries, idempotency keys and failure alerts — an automation that fails loudly is worth several that fail quietly.

Technologies we use

n8n as the automation core, self-hosted with Docker so the logic stays yours. OpenAI, Claude, Gemini or Ollama for the reasoning steps. Qdrant and pgvector for retrieval. Redis for queues, deduplication and conversation memory. Postgres and MySQL for state. WhatsApp Business Cloud, Slack, Gmail and Google Workspace, HubSpot, Stripe and hundreds of other connectors for the edges.

Business benefits

Processes run overnight, at weekends, and during your team's holidays
Volume grows without a matching increase in headcount
Transcription and copy-paste errors disappear from the process entirely
Every run is logged, so the audit trail is a by-product rather than a project
Self-hosting removes per-task pricing and keeps data inside your network

Where it pays off

Lead capture, enrichment, scoring and CRM routing
First-line customer support across WhatsApp, web chat and email
Invoice, receipt and contract data extraction into finance systems
Onboarding sequences that touch billing, provisioning and email together
Scheduled reporting assembled from several systems into one digest
Data synchronisation between tools that have no native integration

Common questions

Why n8n rather than Zapier or Make?

Three reasons: it self-hosts, so your data and your logic stay on your infrastructure; it is priced by execution rather than per task, so cost does not scale punitively with success; and it handles branching, code steps and native AI agent nodes that the simpler tools cannot express. For a genuinely simple two-app sync, Zapier is often the right answer and we will say so.

What happens when a workflow breaks?

It alerts. Every workflow we ship has error handling, retry logic with backoff, and a notification path to a channel you actually read. Run history is retained so a failure can be inspected and replayed rather than guessed at.

Can we maintain these ourselves afterwards?

Yes, and we build for that. Workflows are documented, named consistently and handed over with a walkthrough. n8n's visual editor means your operations team can adjust routing and copy without needing us for every change.

How long does a first automation take?

A single well-scoped workflow is typically days rather than weeks. The mapping conversation beforehand is usually what determines the timeline, not the build.

Know which process is costing you the most hours? Bring us the one your team complains about most and we will scope it.

AI Automation & Workflows