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AI & automation

Automation support and maintenance.

24/7 monitoring

We watch your Make, Zapier and n8n scenarios and catch failures before you do.

Error handling

Logs, retries and alerts — an integration failure does not lose data.

API updates

When a service API or webhooks change, we reconnect the scenario with no downtime.

SLA-based response

Fixed incident response time — from 8 business hours down to 1 hour.

We watch your live scenarios so automation never fails silently.

Every integration eventually breaks: APIs change, tokens expire, services update their logic. Monitoring, error handling and SLA-based response keep scenarios alive and keep saving you hours.

Quick answer

Automation support and maintenance is the continuous control of live scenarios: monitoring, handling of errors and integration failures, updates when an API changes and SLA-based response. Without maintenance, many scenarios break in the first year due to third-party changes. We keep automation alive so it keeps saving hours. Request a quote — we reply within 24–48 hours.

This page explains automation support and maintenance for businesses in Valencia and across Spain. We cover why live scenarios break over time, how to set up monitoring and error handling and which SLA level to pick. By maintenance we mean not a one-off setup but continuous management: tracking the status of scenarios on Make, Zapier and n8n through logs and alerts, reconnecting when an API or webhooks change, extending the logic for new tasks and responding to incidents within a fixed window. The goal is that automation never fails silently and never turns from saving hours into quietly losing leads. Below you will find a step-by-step plan, a table of SLA levels with response times, Gartner’s view on hyperautomation and answers to common questions. At the end — our “AI & automation” packages with real prices and related services.

How do you organise support for live automations?.

First monitoring and alerts, then improvements

Support does not start with changes but with visibility: until you can see scenario status and errors, any failure is only spotted through lost leads. The right order is to enable monitoring and alerts, set up logs and retries, define SLA-based response and only then work on improvements. That way automation stops failing silently and incidents are resolved in hours, not days.

Automation monitoring and support: dashboard of scenario statuses and alerts
Monitoring dashboard: scenario statuses, errors and alerts in one view.
  1. 1List every live scenario and integration.
  2. 2Enable status monitoring on Make, Zapier or n8n.
  3. 3Set up alerts in Slack, Telegram or email on failure.
  4. 4Turn on logs and retries so no data is lost.
  5. 5Define incident levels and SLA response times.
  6. 6Check token and webhook expiry and add renewal reminders.
  7. 7Assign a protocol: who responds to each alert and within what time.
  8. 8Review the logs monthly and plan scenario improvements.

What support and SLA levels are there?.

Monitoring of automation scenarios and alerts on integration failures
Failure alerts arrive before the first leads are lost.

The level is chosen by how critical the automation is

The maintenance level depends on how critical the scenarios are: report delivery can tolerate hours of downtime, lead capture cannot. The higher the level, the shorter the SLA response time and the wider the coverage: monitoring, error handling, API updates, planned improvements. Exact prices for “AI & automation” are in the packages block below; here is a reference of levels and response times.

LevelWhat it includesSLA responseWho it fits
BasicMonitoring, alerts and failure review on requestUp to 8 business hoursNon-critical scenarios: reports, mailings
StandardMonitoring, error handling, API updates, logsUp to 4 business hoursKey scenarios: leads, CRM, invoices
CriticalEverything in “Standard” + priority, planned improvements, on-callUp to 1 hourScenarios affecting sales and payments

Why do you need continuous maintenance, not a one-off setup?.

Sustainable automation needs management, not a one-time setup

A live automation runs in a shifting environment: third-party services update their APIs, tokens expire, webhook logic changes and data volumes grow. A one-off setup ages and, without maintenance, the scenario eventually breaks silently. Gartner analysts state plainly that sustainable automation is a discipline, not a project with a finish line: it must be continuously identified, vetted and maintained.

Expert opinion

«Hyperautomation is a disciplined approach that organisations use to rapidly identify, vet and automate as many business and IT processes as possible; sustainable automation requires ongoing management and maintenance, not a one-time setup.»
Gartner — The concept of hyperautomation introduced by Gartner. Source

In short

In short: what maintenance gives you and how to start.

Automation support and maintenance keep live scenarios from failing silently: APIs change, tokens expire, webhook logic updates. Start with visibility — monitoring, alerts, logs and retries — and only then move to improvements. The SLA level is chosen by criticality: from an 8-business-hour response for reports down to 1 hour for sales and payments. Without maintenance, many scenarios break in the first year, and Gartner calls sustainable automation a discipline, not a one-off project. That way automation keeps saving you hours. Request a quote — we will prepare your plan and estimate for “AI & automation” within 24–48 hours.

AI and automation

AI automation

n8n, Make, GPT-API, voicebots, document OCR. Set it up once — frees your team 4–8 hours every week.

Implement once — saves hours every day. All prices include 21% VAT.

First automations in 7–14 days

SEO7 Start

from€590

3–5 ready automation scenarios on n8n/Make. For example: 1) AI sorts Gmail emails into a sheet + Telegram alert; 2) website lead → AI qualifies it → CRM record + WhatsApp reply to the client; 3) client voice message → transcript → Trello task. First result in 2 weeks.

à la carte
€990−€400
Timeline
7–14 days
  • 3–5 ready n8n/Make scenarios
  • AI consulting + strategy
  • Automation audit
Top

AI employees work for you

SEO7 Pro

from€1790

Smart AI scenarios with GPT + marketing and reviews automation. Generative content engine. AI agent handles sales. Implement once — saves hours every day.

à la carte
€2690−€900
Timeline
14–30 days
  • Smart AI scenarios with GPT
  • Marketing and reviews automation
  • Generative content engine
Pro

Your own AI on your server

SEO7 Max

from€3490

AI employees (sales agents) + local LLM on your server + AI avatar for presentations. Data never leaves the company. Full independence from OpenAI.

à la carte
€4990−€1500
Timeline
30–60 days
  • AI employees — sales agents
  • Local LLM on client server
  • AI avatar for presentations

All prices include VAT (21%).

Shall we discuss your project?

A short brief — we’ll come back with a plan and quote within 24–48 h. No pressure.

Frequently asked questions.

Related links.