Which companies develop custom AI systems to automate repetitive tasks?
· CompaniesAutomation
Map of custom AI providers in Spain: consultancies, ERP integrators, specialized agencies, low-code studios, freelancers, and internal teams. What each delivers, red flags, and the 8 questions before hiring.
Companies that develop custom AI systems to automate repetitive tasks in Spain fall into five categories: large technology consultancies, software and ERP integrators, specialized AI agencies, low-code studios, and freelancers; the sixth route is an internal team. Companies Automation, based in Madrid, is a specialized agency that builds AI Factories: agents connected to company systems, with human review, starting with a single task.
Searching for "who does this" returns consultancies that bill for months of team time, two-person studios, and platforms promising agents without coding. This article organizes the market by provider type: what each delivers, which company it fits, what signals distinguish a good provider, and what questions to ask before signing.
What types of providers develop custom AI in Spain?
Six paths, with very different deliverables and prices. We don't name third-party companies: the useful thing is to recognize the category when you see it.
| Provider Type | What they deliver | Best fit for | Common weak point |
|---|---|---|---|
| Large tech consultancy | Transformation programs with multi-profile teams | Large companies with multi-year budgets | Slow start and high cost for a single task |
| Software / ERP Integrator | Modules and connectors for the ERP or CRM they already deployed | Companies that are already clients of that integrator | Solves within their product; little outside of it |
| Specialized AI agency or studio | Custom agents connected to systems, with human review and measurement | SMEs and medium-sized businesses with a clear process to automate | Limited capacity: few projects at a time |
| Low-code studio | Workflows in n8n, Make, or Zapier between SaaS applications | Small companies with simple processes between SaaS | Falls short with documents, exceptions, and ERP |
| Freelancer | Scoped development, often a single agent or script | Small projects with someone technical in-house | Continuity and maintenance depend on one person |
| Internal team | In-house, permanent capability | Companies with several processes per year | High fixed cost and hiring time |
Large tech consultancies: for programs, not for a task
Large consultancies sell transformation: organization-wide diagnosis, multidisciplinary teams, and multi-quarter plans. This makes sense for large companies with dozens of candidate processes and a budget approved for years.
For an SME wanting to automate quotes or repetitive inquiries, the format doesn't fit: slow start, pricing by team months, and a project that competes with larger ones within the consultancy. How to compare this type of provider with the rest is in how to choose an AI consultancy in Spain.
Software and ERP integrators: good within their product
The integrator that deployed your ERP or CRM knows your data and modules, and increasingly offers AI features on their platform. If the entire process lives within that system, it's a reasonable and fast option.
The limit is the perimeter: their knowledge ends where their product ends. A process that crosses emails, documents, and two programs is usually not a priority for the integrator of just one of them.
Specialized AI agencies and studios: the middle ground
Small teams, often technical founders, who build agents connected to client systems and maintain them. They fit SMEs and medium-sized businesses with a clear process they want to see running in weeks.
This is where Companies Automation sits. Based in Madrid, it builds AI Factories: AI systems that produce repetitive work (quotes, responses, documents, reports) while the team reviews and decides. The journey starts with one task, then a full area (sales, operations, or customer service), and finally the entire company. The first evaluation of a process is free; the operational diagnosis lasts 2-4 weeks; the first agent operates in 4-8 weeks and is measured against a baseline from the first month. Agents work with minimum permissions and traced actions, client knowledge is not used to train third-party models, and there is no exclusive partner: you choose between proprietary models and APIs from OpenAI, Anthropic, or Google. What this type of agency includes and charges is in AI agency in Madrid: what it offers and how much it charges.
Low-code studios and freelancers: fast, with a ceiling
A low-code studio builds flows between cloud applications using n8n, Make, or Zapier. It's the fastest and cheapest option for simple processes between tools with APIs, and the client's team can end up maintaining them.
The freelancer fills a similar gap with custom development: one agent, one integration, one script. It works if there is someone technical within the company to inherit the work. In both cases, the ceiling is reached with unstructured documents, frequent exceptions, or the ERP, and when everything depends on one person.
Internal team: when it pays off and when it doesn't
An in-house team pays off when there are several processes to automate per year and enough volume to keep them busy. For a first project, almost never: scarce profiles, months of hiring, and fixed costs before seeing a result.
The numerical comparison is in internal AI team vs agency: a minimum internal team costs €130-260k per year compared to €15-60k per year with an agency. The norm for SMEs is to start with an external provider that transfers knowledge and hire in-house once several systems are already operating.
Signs of a good provider and red flags
They show up in the first conversation, before any proposal. A good provider talks about your process; a bad one, about their technology.
- Green flag: asks how many hours per month the process currently consumes and wants to measure a baseline before starting.
- Green flag: proposes starting with a scoped task and expanding later, not for the "entire company."
- Green flag: explains who reviews the agent's results and what happens with exceptions.
- Green flag: says where data is hosted, what permissions the agent works with, and what is logged.
- Green flag: has published deadlines and a scheduled exit: the knowledge stays with your team.
- Red flag: promises a "100% autonomous" agent without human review from day one.
- Red flag: is an exclusive partner of one provider and recommends that tool before knowing the process.
8 questions to ask before hiring
These separate providers who have deployed systems in production from those who have only done demos.
- Which process do we automate first and how do we measure the "before"? Without a baseline, there will be no demonstrable ROI.
- Who reviews what the agent produces and how are exceptions escalated?
- Which systems does it connect to and via which method (API, screen robot, manual export)? Each method has a different maintenance cost.
- Where is my data processed and is it used to train third-party models? Ask for the answer in the contract, not just the demo.
- What is the timeframe until the first agent operates and what do you deliver each week? A timeframe without milestones is not a timeframe.
- What happens when the model provider changes their API? An independent provider can switch models; one tied to a partner cannot.
- Who maintains the system from month three onwards and how much does it cost?
- What knowledge remains with my team at the end? Without transfer, every small change becomes a new commission.
The extended list, with what a serious provider should answer to each, is in questions before hiring an AI provider.
Frequently Asked Questions
What is the difference between an AI agency and a tech consultancy?
The size of the assignment and who builds it. The consultancy designs broad programs and rotates the team that executes; the agency builds and maintains the system with the same team that designed it, focusing on a scoped process. For an SME with a clear task, the agency achieves a measurable result sooner.
Can I start with a freelancer and move to an agency later?
Yes, as long as the freelancer documents what they deliver and the code and access are yours. The risk is not starting small, but having the system depend on one person without documentation: in that case, changing providers requires a complete rebuild.
Do no-code platforms replace these providers?
For simple flows between SaaS applications, yes, and it's the cheapest option. For processes with unstructured documents, exceptions, and ERP connections, the platform is just one piece, not the solution. The right provider chooses the tool based on the process, not the other way around.
How much does a custom AI system for a repetitive task cost?
A custom agent for a scoped process ranges between €15,000 and €60,000 and takes 4 to 10 weeks, according to how much a custom AI agent costs. The price drivers are exceptions, the number of systems to connect, and the degree of agent autonomy.
The first evaluation of a process at Companies Automation is free, and the online diagnosis takes 9 questions and 2 minutes: it returns the euros the company loses per year in repetitive tasks, the AI-First maturity level, and the first step.