Quote
EN

AI automation

Process automation with AI: custom systems for your company

Automating processes with AI means connecting your applications and adding intelligence where a person used to have to read, decide or copy data. We design custom systems with Python, n8n and API integrations that eliminate manual tasks, reduce errors and scale without adding headcount, with AI applied only where it adds value.

Request a quoteSee sample projects

By Oliver Guirado · Updated on October 28, 2026 · 6 min read

Diagram of an AI automation: an event triggers it, the AI interprets the content, business rules are applied, actions are executed in the systems and a person reviews the exceptions

What problems we solve with automation and AI

Repetitive manual tasks

Copying data between systems, reading emails or PDFs and updating spreadsheets eat up hours every week.

Systems that do not talk to each other

An ERP, CRM, store and internal tools without integration force you to duplicate work.

Errors and lack of control

Manual steps generate errors, and nobody knows for sure what happened to each order or request.

Free-text processes

Emails, forms or documents that classic rules cannot understand and AI can interpret.

Difficulty scaling

Growing means hiring for tasks a system can take on.

Generic tools falling short

Zapier or Make fall short with complex logic, high volume or data requirements.

Custom automation or generic tools

CriterionGeneric tools (Zapier, Make)n8nCustom development
Time to launchVery fastFastSlower
Complex logic and exceptionsLimitedGoodFull
Data controlIn the provider's cloudSelf-hostableFull
Cost at high volumeGrows with every operationContainedContained, with an upfront investment
MaintenanceBy the providerOurs or yoursOurs or yours

Custom development is not always needed: sometimes n8n is the best option. We recommend what fits your volume, your data and your team, and we combine them when it makes sense.

Our approach: systems, not isolated flows

  • We think about the whole process, including exceptions, traceability and alerts, not just the happy path.
  • We apply AI with judgement: where there is free language, documents or fuzzy decisions. Where rules are enough, we use rules, which are cheaper and more predictable.
  • Technological independence: the code and the flows are yours and you can switch model provider.
  • Human control: a review queue and approvals for what should not be fully automated.

When the system must reason and chain several tools, we evolve the automation into an AI agent.

Sample AI automation projects

Sample project · Administration and finance

Automatic handling of supplier invoices in a services company

Problem
Hundreds of invoices arrived each month by email in different formats and were booked by hand, with delays and allocation errors.
Solution
A flow that downloads the invoices from the mailbox, extracts their data with AI, validates supplier, amounts and VAT against rules and orders, and leaves them booked or in a review queue with the reason.
Steps
  1. Analysis of a sample of invoices and of the booking rules.
  2. AI extraction and consistency validations.
  3. Integration with the accounting software and the mailbox.
  4. Exceptions panel and parallel tests with the manual process.
  5. Go-live and extension to new suppliers.
Target outcome
Fewer hours of manual booking, faster closings and full traceability of every invoice.
Technology
Python, n8n for orchestration, AI document extraction, accounting software API.
Sample project · E-commerce

Order, stock and support synchronisation between store, ERP and WhatsApp

Problem
The store, the ERP and the support service worked with different data: duplicate orders, outdated stock and customers asking about their order across several channels.
Solution
An integration system that synchronises orders and stock in near real time, flags incidents and feeds a WhatsApp bot to check order status.
Steps
  1. Map of data flows and sources of truth.
  2. API integrations with fault tolerance and retries.
  3. Alerts and incident dashboard.
  4. Order-status bot connected to the same data.
Target outcome
Consistent data across systems, fewer incidents and more agile support. More in online store development.
Technology
Store and ERP APIs, message queues, n8n, WhatsApp Business.

The projects on this page are illustrative, anonymised examples of how we approach this kind of work. Every real project is defined with your information, your systems and your goals.

How we work

  1. Process and goal analysis: process map, volume, current cost and exception cases.
  2. Solution and architecture design: what is automated, with what technology and with what controls.
  3. Custom development: flows, integrations and, where appropriate, AI components with evaluation.
  4. Implementation, testing and production: first in parallel with the manual process and then with supervision.
  5. Support and continuous improvement: monitoring, adjustments and new flows.

Technologies we use

  • Python for advanced logic, document processing and AI models.
  • n8n to orchestrate visual, maintainable workflows.
  • APIs and integrations with ERPs, CRMs, stores, payment gateways and messaging tools. See our API development service.
  • Bots for email, messaging and scheduled tasks.
  • Language models to interpret text, extract data and write, with continuous evaluation.

Timelines, scalability and maintenance

A simple flow can be in production in 2-4 weeks and a system with several integrations and AI components in 6-12 weeks. We work in phases to reduce risk: first the process with the best return, then we extend. Everything is designed to scale and, once in production, we offer support, monitoring and continuous improvement under a maintenance agreement.

Reference prices for AI automation

ScopeIndicative investmentTypical timeline
Simple automation between two or three systems€1,500 – €5,0002 – 4 weeks
System with several flows, AI and an exceptions panel€6,000 – €25,0006 – 12 weeks
Custom automation platform with complex integrations€25,000 – €80,0003 – 6 months
Support and continuous improvement€200 – €1,200 / monthOngoing

Indicative reference prices in euros, excluding VAT, for projects in Spain and Europe in 2026. The final amount depends on scope, integrations and data quality; we confirm it with a fixed quote after a first meeting.

Frequently asked questions

Which processes can be automated with AI?

Reading emails, invoices and forms, order entry, ticket classification, reconciliation, reports, synchronisation between systems and first-level support. The best candidates have volume, text or documents and clear exception rules.

How much does it cost to automate processes with AI?

A simple automation costs between €1,500 and €5,000; a system with several flows, AI and an exceptions panel, between €6,000 and €25,000; and a custom platform, between €25,000 and €80,000.

How long does it take to reach production?

Between 2 and 4 weeks for a simple flow and between 6 and 12 weeks for a system with several integrations and AI components.

What is the difference between RPA, n8n and an AI agent?

RPA and n8n follow defined rules; an AI agent interprets free text and decides the next step. In practice they are combined: rules for the predictable and an agent for the exceptions.

What happens if the AI makes a mistake?

The system includes validations, a human review queue for doubtful cases and a log of every decision. You start by supervising everything and reduce controls as the metrics allow.

Can it be integrated with my ERP or CRM?

Yes, as long as there is an API, an accessible database or, as a last resort, an import route. We review feasibility before quoting.

Shall we talk about your project?

Tell us about your case and we will reply within 24-48 hours with a proposed scope and an indicative quote.

Request a quote

Tell us about your project

Describe what you want to achieve and which systems you work with. We reply within 24-48 hours.

Data controller: App Design Consulting S.L., Tax ID: B19837509. Purpose: handling the sending of information and commercial prospecting related to our services and/or products. Legal basis: consent of the data subject. Rights: you may exercise your rights of access, rectification, restriction of processing, erasure, portability and objection regarding your personal data, as well as withdraw the consent given. Additional information: see the detailed Data Protection information on this page.

Fields marked with * are required

Artificial intelligence services and guides

Everything we do with AI for business, from the diagnostic to the product in production. Artificial intelligence for business.

Services

Guides

See all guides →

AI by sector

See all industries →

Technologies