Process automation with n8n, Make and Zapier
We connect your apps and remove repetitive manual work: reliable flows with n8n, Make or Zapier, AI steps where they add value, and error handling built for production.
Losing hours on manual tasks that could run themselves?
At RoviDev we automate your processes end-to-end · Self-host with n8n to save on licences · Usually reply in under 30 minutes
CRM, ERP, Sheets, Stripe, HubSpot, Slack and email.
Classify, summarise or draft inside the flow.
Retries, alerts and logs so nothing fails silently.
n8n on your server: no task limits, no price surprises.
Automation that actually works in production
We map your process, connect the tools you already use and add an AI step only when it saves real time. No fragile flows that break on the first change: we deliver automations with error handling, traceability and documentation.
Is this service a good fit?
Good fit if
You repeat manual tasks (invoicing, leads, reporting, syncing between apps) that eat 5 to 20 hours a week and you want them back.
When we are not a fit
You need a one-off click with no recurrence; a macro or standard template is cheaper there than an automated flow.
Typical deliverables
Flow(s) in n8n/Make/Zapier, connection to your apps, an AI step if useful, error handling with alerts, documentation and a short video on how to maintain it.
Use case
An SMB connects web form → CRM → welcome email → Slack task, removing manual copy-paste and cutting lead response time from hours to seconds.
Quick questions
n8n, Make or Zapier? We pick by volume, cost and privacy: n8n self-host for high volume, Make/Zapier to start fast.
What if an app has no integration? We connect it via API or webhook with a custom code step.
First reply usually within 30 minutes with feasibility and what is missing.
What the service includes
Process and friction diagnosis, flow design, app connections (with or without API), optional AI steps (classification, extraction, drafting), testing with real data, error handling and retries, a monitoring panel or alerts, and documentation so your team can maintain it without depending on anyone.
Indicative pricing 2026
Basic flow (1 process, 2-3 apps): from €250-900. A system with several flows, custom logic and logging: €1,500-5,000. Back-office automation with AI (invoice OCR, document generation): €5,000-12,000, with €200-500/month of operating cost. ROI is usually recovered in weeks when it replaces recurring manual work.
For companies operating in Spain, much of the investment can be funded through the Kit Digital and Ticket Innova programmes, which since 2026 include automation and AI. We cover this in the proposal.
How we work with you
Goals, context, priorities and time or budget constraints.
Feasibility, phases, schedule and how we collaborate, by email.
Implementation, testing and deployment with reviewable milestones.
Post-launch tweaks and improvements as agreed.
Outcomes we prioritise
Less manual work, fewer human errors and faster response. We measure by hours saved per week and by tasks completed without intervention.
Frequently asked questions about process automation
Which processes should I automate first? The repetitive ones with clear rules: lead intake, invoicing, reporting, CRM/ERP syncing and internal alerts. We start with the highest-saving one.
Is n8n, Make or Zapier better? It depends on volume, cost and privacy. n8n self-host avoids task limits and keeps your data on your server; Make and Zapier are great to start fast.
Can I add AI to a flow? Yes: classify emails, extract data from documents, summarise or draft replies. We add AI only when it saves real time, with cost control.
What happens if a flow fails? We implement retries, alerts and logs to catch it instantly. No silent failures you discover a week late.
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Recommended reading
To decide what to automate first, this guide on automating business processes helps you prioritise by savings. Read the guide →
Related case study
SMB invoice automation — a flow that captures invoices, extracts data and pushes it to the ERP with no manual work. Read case study →