01
Data synchronization
Orders, inventory, customers or products: we define the source of truth, what should move and how often, then the checks needed to identify discrepancies.
AUTOMATION · N8N · INTEGRATIONS
Connected tools.
Less repetitive work.
Business workflow automation and software integration, built around the way your company works.
Re-entering orders, reconciling stock or rebuilding reports by hand? We start with the task. n8n, a native connection or a custom integration is chosen according to your software and business requirements.
Information in your source tool
Rules and checks
The right data in the right place
THE SCOPE
Connect your software.
Keep useful information moving.
02
Business process automation
Handling an enquiry, preparing a file or producing a report: we map the steps, approvals and exceptions that require a person’s attention.
03
Existing n8n workflows
For a workflow already in use, we review executions, errors, duplicates and documentation before proposing suitable fixes and ongoing support.
THE APPROACH
Clear steps.
Shared decisions.
Map the work
We identify repeated data entry, the software involved and the result your team needs.
Agree the rules
Data direction, identifiers, missing information and responsibilities are defined before connecting systems.
Test the exchanges
We check normal cases, failures and recovery after interruption within a controlled scope.
Plan ongoing support
We agree alerts, access, documentation and maintenance of the integrations.
Your questions, answered.
Which tools can you integrate with n8n?
We review the connectors, APIs, exports and other access methods available for your tools. Technical access also needs to fit your business rules and permissions.
Can Shopify be connected to an ERP or CRM?
We can assess that requirement against your actual systems and the products, prices, inventory, orders and customers involved. Data direction and ownership are agreed for each field.
How do you handle duplicate or missing data?
We define identifiers, create and update rules, and checks after each transfer. Workflows also need error handling and a recovery process that accounts for writes already completed.
Does workflow automation require AI?
Conventional rules are often enough. An AI agent may be useful when the task involves interpreting a request, finding context or preparing several options. The work determines the approach.
What work do you repeat
between your tools?
Tell us which tools and records are involved, how often data moves and where errors occur. We can scope a first workflow and estimate its delivery and ongoing support.
Discuss your project ↗