AI services

Artificial intelligence development for business

App Design builds custom artificial intelligence solutions for business: agents that run processes, chatbots, assistants that answer with your documents, AI integration in your software, automation and consulting. More than 15 years building software and more than 450 digital projects let us take AI to production with control, security and measurable return.

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

Map of App Design artificial intelligence services around AI development for business

Artificial intelligence services for business

We turn AI into systems that work inside your processes, not into demos. These are the services we offer, from strategy to going live:

AI agents

Systems that plan and carry out tasks on your CRM, ERP and email, with minimum permissions and human approval.

AI agents →

AI chatbots

Support, sales and bookings on web and WhatsApp, connected to your systems.

AI chatbots →

Assistant over your documents (RAG)

An AI that answers with your information, cites the source and respects each user's permissions.

RAG assistant →

AI integration in software

Summaries, classification, extraction and assistants inside your app or SaaS without rebuilding it.

AI integration →

AI consulting

Diagnostic, cases prioritised by return, roadmap, pilots and usage policy.

AI consulting →

AI automation

Workflows that combine rules, integrations and AI to save hours of manual work.

Automation →

Custom AI apps

Mobile and web applications with artificial intelligence built in from the design stage.

AI apps →

Other AI capabilities we develop

  • Machine learning and predictive analytics: demand forecasting, churn probability, customer scoring and anomaly detection from your data.
  • Computer vision and documents: reading invoices, delivery notes and forms with OCR and AI, image-based quality control and object recognition.
  • Voice assistants: phone support and voice assistants integrated with your management system.
  • Recommendation and personalisation systems: suggestions of products, content or actions based on each user's behaviour.
  • Operations and supply chain optimisation: forecasting, routes, stock and alerts built on your data.
  • Security and control: fraud and anomaly detection, always with human review for sensitive decisions.

We approach these lines as custom projects; if you are looking for any of them, tell us your case.

How we run an AI project

  1. Diagnostic: process, data, systems and a measurable goal. Sometimes prior consulting is worthwhile.
  2. Evaluable prototype: a bounded version tested with real cases and a quality report.
  3. Development and integration: connection to your systems, security, permissions and traceability.
  4. Gradual go-live: with human oversight and visible metrics.
  5. Operation and improvement: monitoring, continuous evaluation and extension to new cases.

If you prefer a guide first, read how to implement AI in a small business step by step or the use cases by department.

Sample AI projects for business

Sample project · Professional services

Internal knowledge assistant for a services company

Problem
Procedures, templates and earlier cases scattered across folders and emails. New employees depended on asking the veterans and the answers varied.
Solution
A RAG assistant over the internal documentation, with permissions by area and answers with a source citation, accessible from the corporate chat.
Steps
  1. Inventory of sources and access rules.
  2. Preparation and evaluation with real questions from the workforce.
  3. Deployment in the corporate messaging tool.
  4. Periodic review of unanswered questions to extend the content.
Target outcome
Consistent answers, faster onboarding and fewer interruptions for the experts. See AI assistant over your documents.
Technology
RAG with vector database, SSO, language model with EU data.
Sample project · B2B distribution

Automatic order handling by email at a distributor

Problem
Orders and queries arrived by email in different formats and were typed into the ERP by hand, with errors and delays.
Solution
An AI agent that reads the email, validates part numbers, stock and prices and prepares the order for approval, with an exceptions queue.
Steps
  1. Analysis of real emails and business rules.
  2. Prototype evaluated against orders already processed.
  3. Integration with the ERP and the mailbox.
  4. Gradual go-live customer by customer.
Target outcome
Less manual entry and faster replies. See AI agents for business.
Technology
Python, ERP API, language model, review panel.

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.

Artificial intelligence by sector

We combine AI with our experience in software and apps for each sector:

E-commerce

Support, shopping advisor, catalogue and stock forecasting.

AI for e-commerce →

Real estate

Leads, qualification, listings and contracts.

AI for real estate →

Clinics and healthcare

Appointments, administration and documentation with reinforced privacy.

AI for healthcare →

Logistics and transport

Documents, incidents, tracking and forecasting.

AI for logistics →

Human resources

Policy assistant, onboarding and recruitment support with control.

AI for HR →

Insurance and brokerage

Policy wordings, claims and policyholder support.

AI for insurance →

Industry and manufacturing

Visual quality, predictive maintenance and technical knowledge.

AI for industry →

We also build software and apps for fintech, education, restaurants and B2B platforms. In AI use cases by department you will find concrete examples.

What is artificial intelligence for a company?

For a company, artificial intelligence is a set of techniques (language models, machine learning, computer vision) that make it possible to automate tasks that used to require interpreting text, images or data: reading a document, answering a customer, classifying a ticket, forecasting demand. The value is not in the model but in integrating it into a process with reliable data, clear limits and measurement. If you want to understand the differences between the pieces, the guide to agent, chatbot and assistant is a good starting point, and to compare providers there is the 10 best artificial intelligence companies.

Why choose App Design

Software first

More than 15 years building apps and custom software: AI is integrated into real systems, with good engineering practice.

A business approach

We start with the process and the metric, not with the technology, and we prioritise what gives a return.

Control and security

Minimum permissions, EU data when needed, traceability and continuous evaluation.

One team for everything

Strategy, UX, development, integration and operation in the same team, in Madrid and Barcelona.

Reference prices

ServiceIndicative investment
Consulting: opportunities workshop / diagnostic€1,500 – €3,500 / €4,000 – €12,000
AI chatbot€4,000 – €60,000
Assistant over your documents (RAG)€9,000 – €90,000
AI agent€8,000 – €150,000
AI integration in your software€5,000 – €40,000 (from €40,000 if AI is at the core)

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.

See the guide how much an AI chatbot or agent costs to understand the price factors.

Frequently asked questions

What artificial intelligence services does App Design offer?

AI agents, chatbots, assistants over company documents (RAG), AI integration in software, process automation, AI apps and consulting.

How much does it cost to develop an AI solution for a company?

It depends on the scope. As a reference: chatbots from €4,000, assistants over your documents from €9,000, agents from €8,000 and consulting from €1,500. It is confirmed with a quote after a first meeting.

How long does an AI project take?

An evaluable prototype can be ready in 2-4 weeks and a solution in production in 1-4 months depending on integrations. Larger systems take several months.

Is my data safe?

We apply minimum permissions, encryption, data processing agreements, EU hosting when necessary and, for very sensitive data, models deployed on your own infrastructure.

Do I need my data in order before starting?

No. Part of the diagnostic is assessing its state and defining what needs preparing. Some cases work with imperfect data.

Can I start with a small project?

Yes, and it is recommended: a bounded 4-8 week pilot with metrics validates the return before scaling.

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.

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Artificial intelligence services and guides

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

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