n8n & workflow automation
n8n connects applications, data, and decisions in traceable workflows. Recurring tasks can run automatically; sensitive steps get approvals, logs, and defined error paths.
NJUME plans and builds AI automations, n8n workflows, API connections, and AI agents that fit your existing workflows. For Shopify, WordPress, custom-built websites, and CRM, ERP, and internal systems — with clear control points instead of an isolated AI demo.
n8n connects applications, data, and decisions in traceable workflows. Recurring tasks can run automatically; sensitive steps get approvals, logs, and defined error paths.
Existing APIs, webhooks, and databases are connected cleanly. Authentication, limits, data quality, retries, and monitoring are part of the technical planning.
AI agents can classify information, create drafts, call tools, and prepare tasks. NJUME limits permissions and room for action according to the actual risk.
OpenAI and ChatGPT interfaces can be embedded into websites, support, knowledge access, or internal tools. Prompts, context, outputs, and costs are not left to chance.
Contacts, leads, products, stock levels, orders, and status changes can be exchanged and validated between shop, website, CRM, ERP, or inventory systems.
When standard connectors aren't enough, NJUME builds its own interfaces and functions. This applies to Shopify as well as WordPress and fully custom-built platforms.
Understand workflows, data sources, bottlenecks, permissions, and recurring tasks together.
Define suitable architecture, tools, control points, and measurable goals for your specific operations.
Implement the workflow, API connection, or agent step by step and secure it with realistic test cases.
Brief the team, make errors visible, observe usage, and develop the workflow further in a targeted way.
Customer, order, and event data can be passed to Klaviyo after validation. Flows, segments, and follow-ups are then built on a reliable data foundation.
Leads, customers, products, stock levels, and orders are synchronized between Shopify, CRM, ERP, or inventory systems — with rules for conflicts and faulty records.
Inquiries can be captured, classified, enriched, and routed to the responsible person. AI prepares; binding decisions stay with people wherever that's necessary.
WordPress, custom websites, and portals can pull forms, documents, knowledge sources, or internal systems into automated workflows.
For editorial tasks, text, image, and video tools can be integrated into a controlled workflow. Higgsfield, for example, belongs in the generative media space, not as a replacement for a process architecture.
Automation doesn't mean losing control. States, error messages, costs, logs, and human approvals are considered from the start.
For orchestration, data transfer, rules, schedules, webhooks, and approval steps between existing systems.
For language-based assistance, structured outputs, knowledge access, and functions within custom applications.
OpenAI Codex and Claude Code can support development tasks. NJUME uses such tools where quality, review, and accountability remain clear.
Hermes Agent, Claude, Gemini, Mistral, or other models can make sense depending on hosting, privacy, capabilities, and cost. The task matters, not the trend.
It connects applications, APIs, and data flows into controllable workflows. This can include CRM, ERP, email, support, shop, and internal processes.
No. Depending on the task, native integrations, custom code, or another platform can be easier to maintain. We choose the architecture based on data, risk, volume, and operations.
Depending on the task, OpenAI and ChatGPT, Codex, Claude and Claude Code, Hermes Agent, or other suitable models and tools come into question. The solution stays focused on the process.
Examples include connecting Shopify with Klaviyo, CRM, or inventory systems, synchronizing product and customer data, preparing support cases, and distributing leads and orders based on rules.
Yes. First we review interfaces, data quality, permissions, and error cases. Then we decide which parts stay, get replaced, or are automated step by step.
Data minimization, access rights, logging, approval steps, and deletion paths are planned to fit the risk. Sensitive actions can require human approval.