Automation
n8n
Our workflow automation backbone for integration-heavy processes.
AutomationCross-system workflow automationAI-in-the-loop processes
Where we use it
Workloads we build with n8n
Cross-system workflow automation
AI-in-the-loop processes
Operational alerting and routing
Strengths
Why we choose it
- Fast to build and change
- Self-hostable for data control
- Large connector library
Considerations
What we watch for
- Needs version control and environments
- Complex logic belongs in services
Services using this technology
Industries where we deploy it
FinanceFaster decisions, defensible controls, lower cost to serve.ManufacturingConnected plants, predictable output, lower unplanned downtime.HealthcareClinical throughput, administrative relief and defensible data handling.LogisticsCost per shipment down, exceptions handled before they escalate.GovernmentCitizen services, digitised process and auditable delivery.Professional ServicesHigher utilisation, faster delivery, protected margin.EducationAcademic operations, student experience and institutional reporting.Real EstatePortfolio visibility, faster sales cycles, tighter project control.HospitalityOccupancy, guest experience and lean back-office operations.NGOMore programme impact per rupee of overhead.ConstructionProgramme certainty, cost control and site-level visibility.
Pairs well with
Case studies
Capabilities built on n8n
Workflow AutomationRouting, approvals and hand-offs automated across teams and systems.AI AutomationCombining models with workflow automation to close whole processes, not single steps.CRM AutomationLead routing, enrichment, follow-up and pipeline hygiene on autopilot.Process DigitizationConvert paper and email-driven processes into governed digital workflows.AI StrategyA board-ready plan linking AI investment to specific processes, numbers and timelines.Enterprise SoftwareLarge-scale internal platforms carrying core operational load.
Related insights
Automation that survives auditDesigning RPA and document automation with controls, logging and ownership from day one.Why enterprise AI pilots stall — and what changes when they do notThe gap between a working demo and a production system is organisational, not technical.Modernising legacy systems without a big-bang cutoverIncremental strangulation beats a single weekend of concentrated risk.
Assess and plan
AI Readiness AssessmentScore your organisation across six readiness dimensions in about ten minutes.Enterprise AI Readiness ChecklistThe seven-dimension checklist we use before committing to an enterprise AI programme.Downloads centreCapability statement, readiness checklist and other practitioner material.
Downloadable guide
n8n engineering standards
Our reference architecture, code standards, testing approach and operational checklist for this technology.
Need this stack delivered by
people who have run it in production?
Architecture review, team augmentation or full delivery — we will show you reference implementations before you commit.