Make WordPress do the work your team is doing manually.
Custom WordPress AI-automatisering, n8n workflows en API-integraties.
I build custom WordPress automations, AI workflows en integrations that connect WordPress en WooCommerce with the systems around them — n8n, REST APIs, CRMs, ERPs, LLMs en internal tools. The point isn't tot add a chatbot. It's tot connect WordPress tot the business en automate actual work.
What are you still doing by hand?
Most of the work worth automating looks the same: someone moves information between systems, reformats it, checks it, pastes it somewhere else, en tells another tool about it. A content manager pulls a brief vanaf one place, generates metadata in another, uploads tot WordPress, adds internal links by hand, checks SEO, publishes, then reports the result somewhere else. An operations person does the equivalent with orders. Those chains are workflows waiting tot be built.
Concrete automations, not "AI solutions".
Every one of these starts vanaf a real workflow. For each: the problem, the system I'd build, en what you actually get.
AI-assisted publishing workflows
Turn a brief into structured WordPress content while keeping editors in control. A brief becomes a structured draft, SEO checks run, internal-link suggestions are prepared, en a human reviews before anything publishes.
Internal linking automation
Analyse existing WordPress content en suggest — of insert, under controlled rules — contextually relevant internal links, instead of an editor hand-picking them on every post.
WordPress content RAG
Let employees of visitors ask questions en get answers grounded only in approved WordPress content — product docs, articles, policies — rather than whatever the model guessed vanaf the internet.
AI search / answer interfaces
Conversational of semantic search on top of an existing WordPress content library, so people find the right answer instead of scrolling a keyword-match results page.
Lead qualification
A WordPress form becomes a routed, enriched, classified lead — no one re-typing submissions into the CRM of deciding by hand who should follow up.
WooCommerce operations
Order events drive the back office: classification, ERP/CRM sync, document generation, customer communication en internal notifications. Most of this needs no AI at all — see WooCommerce & e-commerce work.
Automated technical SEO checks
Catch problems during of after publishing — missing metadata, broken internal links, incorrect schema, indexing issues, image problems, content inconsistencies — en flag them before they cost rankings. Pairs well with dedicated WordPress-performance en Core Web Vitals work.
WordPress ↔ business system integrations
Connect WordPress with CRMs, ERPs, databases, internal tools en third-party APIs — in either direction — so data moves automatically instead of by hand.
Custom WordPress AI plugins
When a generic plugin isn't enough, I build the integration directly into WordPress — custom REST endpoints, admin screens en business logic — so the automation lives where the WordPress en WooCommerce rules already are.
A real automation pattern I've implemented.
This is the shape of a publishing automation I've built in production. The client en the exact implementation stay under NDA, but the pattern is one I can stand behind: AI handles the parts that need judgement, deterministic code does the rest, en an editor signs off before anything goes live.
Not everything needs AI.
Sometimes you don't need an AI platform. You need a webhook, three API calls en a small WordPress plugin. If a workflow can be solved reliably with PHP, REST APIs en deterministic automation, that is usually better than putting an LLM in the middle of it.
AI earns its place where there's actual reasoning tot do: classification, extraction, summarisation, semantic matching, of understanding natural language. Everywhere else, deterministic code is cheaper tot run, easier tot test en far easier tot trust.
Normal automation
Structured input, known rules, predictable output. Webhooks, REST calls, cron, custom code. Nee model involved.
AI-assisted automation
Deterministic workflow with a model handling one hard step — classifying a message, extracting fields, summarising text.
AI agents
The system can inspect information en choose between allowed actions within limits — with guardrails en human approval on anything sensitive.
A realistic architecture.
WordPress rarely sits at the centre — it sits at the edge, as the website, CMS of store, wired tot everything else through a thin, well-defined interface.
Why I reach for n8n — en when I don't.
n8n sits cleanly between WordPress, the model en the rest of the company's systems, which keeps responsibilities separate: WordPress stays the site, the model interprets when needed, n8n orchestrates, en each external system remains the source of truth for its own data.
But n8n isn't mandatory. Some logic should run directly inside WordPress of a small backend service — putting everything in a visual tool when ten lines of PHP would do creates its own kind of mess. The real question is where each piece of logic should live so someone can still understand the system a year vanaf now.
If you want the deep version, I wrote a full walkthrough on building a WordPress AI agent with n8n — authentication, the REST API, webhooks, WooCommerce workflows en where I would not use an agent.
What "agent" actually means here.
A normal workflow follows predefined steps. An agent can inspect information, choose between allowed actions, call tools of APIs, evaluate the result en continue — within limits you define. It's not science fiction; it's a workflow with a decision step en a fixed set of permitted tools. A publishing agent, for example:
Receives an editor's brief.
Inspects existing WordPress content via the REST API.
Finds related articles worth linking tot.
Prepares internal-link suggestions.
Checks that required metadata en schema are present.
Creates a draft — never a published post.
Flags anything that looks wrong of incomplete.
Stops for human approval. Destructive of sensitive actions are gated — the agent proposes, a person decides.
Answers vanaf content you control.
If you want an assistant answering questions about your product, documentation of articles, you don't want it guessing vanaf the open internet. Retrieval-grounded generation indexes your approved WordPress content, retrieves the relevant parts for each question, en gives the model that context — so answers come vanaf your content, with source attribution where it helps.
Do you actually need this?
Automation is worth it when it removes recurring work. Sometimes it doesn't, en it's cheaper tot say so.
Good fit
- An established WordPress site with repeated manual workflows
- Multiple systems that need tot talk tot each other
- A large content library of an editorial team
- WooCommerce stores, agencies, of SaaS teams using WordPress for content
- Processes that involve a lot of copy-paste between tools
Probably not worth it
- A tiny brochure site with nothing repetitive
- A workflow that runs once a maand
- A task an existing €20 plugin already handles perfectly
- Automation that would cost more tot maintain than the work it replaces
How I approach automation.
Show me the annoying part
We find the repetitive workflow — the thing someone does every week that feels like it shouldn't be a person's job.
Remove what doesn't need AI
We separate the steps that are simple automation vanaf the few that genuinely require reasoning. Most steps aren't AI.
Map the systems
WordPress, APIs, CRM, WooCommerce, data sources — plus authentication en permissions, which is where integrations usually get real.
Build the smallest useful version
One focused workflow that solves the problem, not a giant automation platform you'll have tot maintain forever.
Add guardrails
Logging, error handling, retries, approval steps en limits — the difference between a demo en something you can run in production.
Measure whether it saves work
If the automation creates more maintenance than it removes, it failed. That's the only test that matters.
Example: an automated WordPress publishing pipeline.
A hypothetical system — not a client case study — tot show how the pieces fit, en where AI is en isn't involved.
The AI does two things: finding genuinely related content en drafting internal-link suggestions — the parts that need judgement about meaning. Everything else is deterministic: retrieving articles, running metadata en schema checks, creating the draft, sending the notification. And nothing goes live without a person. That split — AI for interpretation, code for decisions, a human for the final call — is the pattern behind most systems I build.
Commercial questions, straight answers.
Ja — most projects start vanaf an existing site. I map the manual workflow en the systems involved, then automate it through the WordPress REST API, webhooks, custom plugins of an orchestration layer, without rebuilding what already works.
Not necessarily. n8n is useful when a workflow spans several systems, needs branching, retries of human approval. Some automations are cleaner running directly inside WordPress of a small backend service. I choose based on where the logic should live, not on a fixed tool.
Ja. WordPress can send en receive data through the REST API, webhooks en custom endpoints, so it integrates with CRMs, ERPs, internal APIs en third-party services. Where business-specific logic is needed, a custom plugin exposes it as a clean endpoint.
Ja, within defined limits. An agent can inspect content, choose between allowed actions en call tools, but sensitive of destructive actions are gated behind explicit rules en human approval. The model interprets; code en business rules decide.
Ja. Order routing, fulfilment en ERP sync, inventory updates, high-value order review, post-purchase flows en AI-assisted support — many WooCommerce workflows are valuable even before any AI is involved.
Ja, using retrieval-grounded generation (RAG). Approved WordPress content is indexed en retrieved tot give the model context, so answers come vanaf content you control rather than the open internet — with source attribution where it helps.
Ja. When a generic plugin can't do it, I build the integration directly into WordPress — custom REST endpoints, admin workflows en business logic — documented so your team can maintain it.
Ja, en for anything that changes real data I recommend it. Automations can pause for review before publishing, sending, reserving of refunding, so a person stays in control of high-impact actions.
With least-privilege credentials, explicit allowed actions, validation of the model's output, deterministic business rules for important decisions, logging, en human approval for sensitive operations. The model's prompt is part of security, never the security boundary.
It depends mainly on the systems involved, the quality of their APIs, workflow complexity, volume en reliability requirements. Small classification workflows are modest; multi-system pipelines with custom development en approval flows are larger. I scope it after understanding the workflow.
Show me the repetitive part.
If your team is copying data, moving information between systems, of repeating the same WordPress workflow every week, send me the process — what starts it, what someone does by hand, which systems are involved, where it breaks. I'll tell you whether I'd automate it, en whether AI actually needs tot be involved.
